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pre[class*=language-]{background-color:rgba(var(--ui-12-rgb),.5);color:var(--text-01);text-shadow:none;padding:var(--spacing-00);border-radius:var(--spacing-00);font-size:smaller}","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"},"responsivegrid":{"columnClassNames":{"quickstart_hero":"aem-GridColumn aem-GridColumn--default--12","flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","markup_editor":"aem-GridColumn aem-GridColumn--default--12"},"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnCount":12,":items":{"quickstart_hero":{"id":"quickstart-hero-9e1b1e5fe3","isDeveloperGuidesPage":false,"quickstartHeroFirstCertifiedTag":{"tagText":"Quickstart","tagColor":"#29B5E8","tagPath":"/content/cq:tags/snowflake-site/taxonomy/solution-center/certification/quickstart","tagIcon":""},"quickstartHeroTitle":{"lines":["Getting Started with Snowflake Openflow for Change Data Capture from SQL Server"],"type":"heading2",":type":"snowflake-site/components/title-v2"},"quickstartHeroAuthor":"Vino Duraisamy, Jakub Puchalski","quickstartHeroFirstSnowflakeFeatureTag":{"tagText":"Openflow","tagColor":"#29B5E8","tagPath":"/content/cq:tags/snowflake-site/taxonomy/snowflake-feature/openflow","tagIcon":""},"quickstartHeroForkRepoLink":{"id":"button-c9bc1553fa","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://github.com/Snowflake-Labs/sfquickstarts/tree/master/site/sfguides/src/getting-started-with-openflow-for-cdc-on-sql-server"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"Fork Repo"},"quickstartHeroBreadcrumbs":[{"title":"Getting Started with Snowflake Openflow for Change Data Capture from SQL Server","url":"https://www.snowflake.com/content/snowflake-site/global/en/developers/guides/getting-started-with-openflow-for-cdc-on-sql-server","currentPage":true},{"title":"Guides","url":"https://www.snowflake.com/content/snowflake-site/global/en/developers/guides","currentPage":false},{"title":"Snowflake for Developers","url":"https://www.snowflake.com/content/snowflake-site/global/en/developers","currentPage":false}],":type":"snowflake-site/components/quickstart/quickstart-hero","fragmentPath":"/content/dam/snowflake-site/en/content-fragments/quickstarts/getting-started-with-openflow-for-cdc-on-sql-server"},"flexible_column_cont":{"id":"flexible-column-container-d192437c7e","propertiesId":"quickstart-template-main-flexible-container","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-1659334b85",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"contentfragment":{"id":"contentfragment-03367d1b10","description":"Through this guide, you will learn how to move beyond slow, nightly batch jobs and stream data in real-time from an operational database like SQL Server directly into Snowflake.","paragraphs":["<!-- ------------------------ -->\n","\u003Ch2\u003EOverview\u003C/h2\u003E\n","\u003Cp\u003EThrough this guide, you will learn how to move beyond slow, nightly batch jobs and stream data in real-time from an operational database like SQL Server directly into Snowflake. Using Openflow, a cloud-native data movement platform, you will build a continuous Change Tracking pipeline that unlocks immediate access to your business data for faster, more accurate analytics.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Will Learn\u003C/h3\u003E\n","\u003Cp\u003EBy the end of this guide, you will learn to work with:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003ESnowflake Openflow to configure and launch a SQL Server data connector.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ECreate Openflow deployment, runtime and other Snowflake components required for the demo.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003E\u003Ca href=\"https://learn.microsoft.com/en-us/sql/relational-databases/track-changes/track-data-changes-sql-server?view=sql-server-ver17#change-tracking\"\u003EChange Tracking\u003C/a\u003E on a source SQL Server database.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003ENOTE\u003C/p\u003E\n","\u003Cp\u003EPlease note that Openflow on SPCS is not available on Snowflake's free \u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides\"\u003Etrial account\u003C/a\u003E. Please input credit card details to work through this quickstart or use your own Snowflake accounts.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EWhat is Snowflake Openflow?\u003C/h3\u003E\n","\u003Cp\u003EOpenflow is a cloud-native data movement platform built on Apache NiFi, designed specifically for scalable, real-time streaming and Change Data Capture (CDC) pipelines. It provides a unified experience for building and monitoring data integration workflows, complete with built-in observability and governance.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-openflow-for-cdc-on-sql-server/openflow.png?v=3749fa69\" alt=\"Openflow\"\u003E\u003C/p\u003E\n","\u003Cp\u003EOpenflow is engineered for high-speed, continuous ingestion of all data types—from structured database records to unstructured text, images, and sensor data—making it ideal for feeding near real-time data into modern cloud platforms for AI and analytics.\u003C/p\u003E\n","\u003Ch3\u003EWhat is Change Tracking in SQL Server (CT)?\u003C/h3\u003E\n","\u003Cp\u003EChange tracking captures the fact that rows in a table were changed, but doesn't capture the data that was changed. This enables applications to determine the rows that have changed with the latest row data being obtained directly from the user tables. Therefore, change tracking is more limited in the historical questions it can answer compared to change data capture. However, for those applications that don't require the historical information, there's far less storage overhead because of the changed data not being captured. A synchronous tracking mechanism is used to track the changes. This has been designed to have minimal overhead to the DML operations.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EOperational Load: Avoids heavy ETL queries that can slow down and impact database performance.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EOrchestration Complexity: Simplifies data pipelines, reducing the operational risks of managing complex ETL jobs.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ELimited Scalability: Easily scales with growing data volumes where traditional ETL struggles.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIncremental Load Issues: Natively handles tracking changes, a complex task for batch processes.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EHigh Maintenance: Reduces the overhead and sprawl of maintaining numerous custom scripts.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EWhat You'll Build\u003C/h3\u003E\n","\u003Cp\u003EBy the end of this quickstart guide, you will learn how to build:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EEnable Change Tracking on a source SQL Server database.\u003C/li\u003E\u003Cli\u003EUse the Openflow platform to configure and launch a real-time data connector.\u003C/li\u003E\u003Cli\u003EStream live data from an OLTP database directly into Snowflake tables.\u003C/li\u003E\u003Cli\u003EQuery and analyze real-time data within Snowflake to generate immediate business insights.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EPrerequisites\u003C/h3\u003E\n","\u003Cp\u003EA Snowflake account with Snowflake Openflow and Snowpark Container Services access.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003ENOTE\u003C/p\u003E\n","\u003Cp\u003EPlease note that Openflow on SPCS is not available on Snowflake's free \u003Ca href=\"https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides\"\u003Etrial account\u003C/a\u003E. Please input credit card details to work through this quickstart or use your own Snowflake accounts.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!-- ------------------------ -->\n","\u003Ch2\u003EAutomate With Snowflake CoCo\u003C/h2\u003E\n","\u003Cp\u003EDuration: 5\u003C/p\u003E\n","\u003Cp\u003EOnce your SQL Server database has Change Tracking enabled and your Openflow deployment and runtime are provisioned, you can use \u003Ca href=\"https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code\"\u003ESnowflake CoCo\u003C/a\u003E — Snowflake's AI coding assistant built into the CLI — to automate the connector deployment workflow. The built-in \u003Ccode\u003Eopenflow\u003C/code\u003E skill handles EAI setup, network validation, connector deployment, JDBC driver upload, parameter configuration, controller setup, and pipeline start.\u003C/p\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENo installation required.\u003C/strong\u003E The \u003Ccode\u003Eopenflow\u003C/code\u003E skill ships with Snowflake CoCo out of the box.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003EBefore starting Snowflake CoCo, ensure the following are complete:\u003C/strong\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003ESQL Server setup done with Change Tracking enabled (\u003Ca href=\"#sql-server-setup\"\u003ESQL Server Setup\u003C/a\u003E)\u003C/li\u003E\u003Cli\u003EOpenflow deployment and runtime already provisioned in Snowflake\u003C/li\u003E\u003Cli\u003EDestination database and connector role created in Snowflake\u003C/li\u003E\u003C/ul\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EWhat Snowflake CoCo Automates\u003C/h3\u003E\n","\u003Cp\u003EStarting from a working Openflow runtime, the skill handles all steps in the \u003Cstrong\u003EConfigure Openflow\u003C/strong\u003E and \u003Cstrong\u003ESQL Server Connector\u003C/strong\u003E sections:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EStep\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EWhat Snowflake CoCo Does\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigure Network Access (EAI)\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ECreates External Access Integration for SQL Server host connectivity\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EValidate Network Connectivity\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETests TCP connectivity to SQL Server host:1433 before deploying\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploy the Connector Flow\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDeploys the \u003Ccode\u003Esqlserver\u003C/code\u003E connector flow from the catalog\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUpload JDBC Driver\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EDownloads and uploads the Microsoft SQL Server JDBC driver\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigure Source Parameters\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESets JDBC connection URL, credentials, and tables to replicate\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigure Snowflake Destination\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESets destination database, role, warehouse, and authentication\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigure Ingestion Parameters\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ESets table inclusion rules and identifier resolution\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EVerify Controllers\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERuns \u003Ccode\u003Everify_config\u003C/code\u003E before enabling controller services\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EEnable Controllers\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EEnables all controller services and checks for errors\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EVerify Processors\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ERuns \u003Ccode\u003Everify_config\u003C/code\u003E after controllers are enabled\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStart the Connector\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EStarts the pipeline and confirms changes are streaming\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EValidate Data Flow\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EChecks flow status and confirms rows are appearing in Snowflake\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EReconcile Source vs Destination\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConnects to SQL Server to query source row counts, compares against Snowflake destination across all replicated tables, and flags mismatches\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003E\u003Cstrong\u003ENote:\u003C/strong\u003E Creating the Openflow deployment and runtime, SQL Server prerequisites (AWS RDS setup, SSMS, Northwind database, Change Tracking enablement), and Snowflake account prerequisites (destination database, connector role) must all be completed before invoking Snowflake CoCo.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003EBeyond Initial Setup\u003C/h3\u003E\n","\u003Cp\u003ESnowflake CoCo also helps with \u003Cstrong\u003EDay 2 operations\u003C/strong\u003E after your pipeline is running:\u003C/p\u003E\n\u003Ctable\u003E\u003Cthead\u003E\u003Ctr\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EOperation\u003C/th\u003E\u003Cth colspan=\"1\" rowspan=\"1\"\u003EWhat Snowflake CoCo Does\u003C/th\u003E\u003C/tr\u003E\u003C/thead\u003E\u003Ctbody\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EAdd tables to a running pipeline\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EUpdates inclusion parameters and monitors new tables through snapshot into incremental replication\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EData reconciliation\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConnects to SQL Server, queries source row counts, compares against Snowflake destination across all replicated tables, and flags mismatches\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EIncremental replication\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EConfigures skip-snapshot mode for tables you've already bulk-loaded via other methods\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003ETroubleshooting\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EReads NiFi bulletins, diagnoses Change Tracking retention expiry, and guides FAILED state recovery\u003C/td\u003E\u003C/tr\u003E\u003Ctr\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EJournal table cleanup\u003C/td\u003E\u003Ctd colspan=\"1\" rowspan=\"1\"\u003EIdentifies stale journal tables for removed tables and guides safe cleanup\u003C/td\u003E\u003C/tr\u003E\u003C/tbody\u003E\u003C/table\u003E\n","\u003Ch3\u003EGet Started\u003C/h3\u003E\n","\u003Cp\u003EOpen a Snowflake CoCo session in your terminal and run:\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode\u003Eset up openflow for sql server cdc\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Cp\u003EThe skill will confirm your intent, ask for your SQL Server connection details and Snowflake target, then walk through each step.\u003C/p\u003E\n","\u003Ch3\u003EMore Example Prompts\u003C/h3\u003E\n\u003Cpre\u003E\u003Ccode\u003Edeploy sql server cdc connector in openflow\n\u003C/code\u003E\u003C/pre\u003E\n\u003Cpre\u003E\u003Ccode\u003Econfigure openflow connector for sql server\n\u003C/code\u003E\u003C/pre\u003E\n<!------------------>\n","\u003Ch2\u003ESQL Server Setup\u003C/h2\u003E\n","\u003Cp\u003ETo set the stage for our real-time data streaming demonstration, we first need a source database. We will use SQL Server as a transaction db for this use-case. This will serve as the live OLTP environment from which we will stream data changes into Snowflake.\u003C/p\u003E\n","\u003Ch3\u003E1. Creating the AWS RDS SQL Server Instance\u003C/h3\u003E\n","\u003Cp\u003EThis is the primary, step-by-step guide from AWS for creating and connecting to a SQL Server instance on RDS. It covers everything from the initial setup in the AWS console to configuring the security groups.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EOfficial AWS Documentation:\u003Ca href=\"https://aws.amazon.com/getting-started/hands-on/create-microsoft-sql-db/\"\u003ECreate and Connect to a Microsoft SQL Server Database with Amazon RDS\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EThis is a more general guide that provides context on all available settings when creating an RDS instance.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EAWS User Guide:\u003Ca href=\"https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_CreateDBInstance.html\"\u003ECreating an Amazon RDS DB instance\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E2. Connecting with SQL Server Management Studio (SSMS)\u003C/h3\u003E\n","\u003Cp\u003EOnce your RDS instance is running, this AWS document shows you exactly how to find your database endpoint and connect to it using the most common tool, SSMS.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EOfficial AWS Documentation:\u003Ca href=\"https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ConnectToMicrosoftSQLServerInstance.SSMS.html\"\u003EConnecting to your DB instance with Microsoft SQL Server Management Studio\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003E3. Getting and Loading the Northwind Database Script\u003C/h3\u003E\n","\u003Cp\u003EThe installation script \u003Ccode\u003Einstawnd.sql\u003C/code\u003E for the Northwind database is provided by Microsoft. The link below is to the official Microsoft SQL Server samples repository on GitHub, which is the most reliable place to get the script.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003EOfficial Microsoft GitHub Repository:\u003Ca href=\"https://github.com/microsoft/sql-server-samples/tree/master/samples/databases/northwind-pubs\"\u003ENorthwind and pubs sample databases for Microsoft SQL Server\u003C/a\u003E\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EOnce you download the \u003Ccode\u003Einstawnd.sql\u003C/code\u003E file from that repository, you can simply open it in SSMS (while connected to your RDS instance) and execute it to create and populate all the Northwind tables.\u003C/p\u003E\n","\u003Ch3\u003EConfigure Change-tracking on Database\u003C/h3\u003E\n","\u003Cp\u003ETo configure change-tracking, execute the \u003Ccode\u003Econsole.sql\u003C/code\u003E script from  \u003Ca href=\"https://github.com/Snowflake-Labs/sf-samples/tree/main/samples/openflow-cdc-sqlserver-demo/sqlserver-setup\"\u003Ethis repository\u003C/a\u003E against the Northwind database.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EIt enables Change Tracking for the entire Northwind database. This is configured to retain tracking information for two days and to automatically clean up old, expired tracking data.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EThe script also enables tracking on each individual table that we need to monitor for changes. This includes tables like Orders, OrderDetails, Products, and Customers. For each table, it also activates an important option to track which specific columns were modified during an update, providing more granular detail for the data pipeline.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EFinally, the script executes an \u003Ccode\u003EUPDATE\u003C/code\u003E statement to simulate a real-world transaction. It finds and modifies a set of recent orders related to a specific product, changing their order and shipping dates. Because Change Tracking is now active, this modification is immediately captured and will be picked up by the Change Tracking process.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003EIn the next section, we will configure Snowflake Openflow connector and analyze real-time data from SQL Server to generate business insights\u003C/p\u003E\n<!------------------>\n","\u003Ch2\u003EConfigure Openflow\u003C/h2\u003E\n","\u003Ch3\u003EAvailable Connectors\u003C/h3\u003E\n","\u003Cp\u003EOpenflow supports 19+ connectors including:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003ECloud Storage: Google Drive, Box, SharePoint, Amazon S3, Azure Blob Storage\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EDatabases: MySQL, PostgreSQL, Oracle, SQL Server\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EMessaging: Kafka, RabbitMQ\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESaaS Applications: Salesforce, ServiceNow, WorkdayFor a complete list with descriptions, see \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/about-openflow-connectors\"\u003EOpenflow connectors\u003C/a\u003E.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EOpenflow Configuration\u003C/h3\u003E\n","\u003Cp\u003EBefore creating a deployment, you need to configure core Snowflake components including the \u003Ccode\u003EOPENFLOW_ADMIN\u003C/code\u003E role and network rule.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EDownload \u003Ccode\u003Esetup_roles.sql\u003C/code\u003E from \u003Ca href=\"https://github.com/Snowflake-Labs/sf-samples/tree/main/samples/openflow-cdc-sqlserver-demo/snowflake-setup\"\u003Ethis repository\u003C/a\u003E.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ELogin to your Snowflake Account.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIn Snowsight, on the left panel, navigate to Projects → Worksheets.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick "+ Project" to create a new project\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EAdd SQL File: Click "..." (more options) → "Import SQL file"\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect Downloaded Script: Choose the .sql file you downloaded (e.g., \u003Ccode\u003Esetup_roles.sql\u003C/code\u003E)\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick the ▶ Run All button to execute the entire script to create all the roles needed for deployment\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EThis creates the admin role and grants it the necessary permissions to create and manage Openflow deployments.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIt also creates the required network rule for Openflow deployments to communicate with Snowflake services.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003ENOTE\u003C/p\u003E\n","\u003Cp\u003EFor a detailed, step-by-step guide on these prerequisite configurations, please complete \u003Cstrong\u003ESteps 2\u003C/strong\u003E of the following Snowflake Quickstart guide: \u003Ca href=\"/en/developers/guides/getting-started-with-openflow-spcs/\"\u003ESnowflake Configuration for Openflow\u003C/a\u003E.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ECreate Deployment\u003C/h3\u003E\n","\u003Cp\u003EWith the core Snowflake components configured, the next step is to create the Openflow deployment. This deployment provisions the necessary containerized environment within your Snowflake account where the Openflow service will execute.\u003C/p\u003E\n","\u003Ch3\u003EIMPORTANT: Verify User Role\u003C/h3\u003E\n","\u003Cp\u003EBefore proceeding, ensure your current active role in the Snowsight UI is set to \u003Ccode\u003EOPENFLOW_ADMIN\u003C/code\u003E. You can verify and switch your role using the user context menu located in the top-left corner of the Snowsight interface. Failure to assume the correct role will result in permissions errors during the deployment creation process.First, login to Snowflake UI.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EOn the left pane, navigate to Data → Ingestion → Openflow\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EOpenflow Interface: You'll see three tabs:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EOverview - List of available connectors and documentation\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ERuntimes - Manage your runtime environments\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EDeployments - Create and manage Openflow deployment\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EClick on the Deployments tab. Click Create Deployment button\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EEnter Deployment Location as \u003Ccode\u003ESnowflake\u003C/code\u003E and Name as \u003Ccode\u003ECDC_QS_DEPLOYMENT\u003C/code\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EComplete the wizard\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ELook for your deployment with status ACTIVE to verify deployment status\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003ECreate Runtime Role\u003C/h3\u003E\n","\u003Cp\u003ECreate a runtime role that will be used by your Openflow runtime. This role needs access to databases, schemas, and warehouses for data ingestion.\u003C/p\u003E\n\u003Cpre\u003E\u003Ccode class=\"language-sql\"\u003E-- Create runtime role\nUSE ROLE ACCOUNTADMIN;\nCREATE ROLE IF NOT EXISTS NORTHWIND_ROLE;\n\n-- Create database for Openflow resources\nCREATE DATABASE IF NOT EXISTS NORTHWIND_QS;\n\n-- Create warehouse for data processing\nCREATE WAREHOUSE IF NOT EXISTS NORTHWIND_WH\n  WAREHOUSE_SIZE = MEDIUM\n  AUTO_SUSPEND = 300\n  AUTO_RESUME = TRUE;\n\n-- Grant privileges to runtime role\nGRANT USAGE ON DATABASE NORTHWIND_QS TO ROLE NORTHWIND_ROLE;\nGRANT USAGE ON WAREHOUSE NORTHWIND_WH TO ROLE NORTHWIND_ROLE;\n\n-- Grant runtime role to Openflow admin\nGRANT ROLE NORTHWIND_ROLE TO ROLE OPENFLOW_ADMIN;\n\u003C/code\u003E\u003C/pre\u003E\n","\u003Ch3\u003ECreate External Access Integration\u003C/h3\u003E\n","\u003Cp\u003EExternal Access Integrations allow your runtime to connect to external data sources. This quickstart creates one integration with network rules for SQL Server.\u003C/p\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003EUSE COMPANION NOTEBOOKS:\u003C/p\u003E\n","\u003Cp\u003EFor detailed External Access Integration setup for specific connectors, use the notebooks from the \u003Ca href=\"https://github.com/Snowflake-Labs/sfguide-getting-started-with-openflow-spcs/tree/main/notebooks\"\u003Ecompanion repository\u003C/a\u003E and look for SQL Server\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ECreate Runtime\u003C/h3\u003E\n","\u003Cp\u003ENext step is to create a runtime associated with the previously created runtime role. A runtime is the execution environment for your Openflow connectors. Follow these steps to create your runtime:* Navigate to Data → Ingestion → Openflow → Runtimes tab\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EClick the Create Runtime button in the top right, and select the following inputs:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EDeployment Name: \u003Ccode\u003ECDC_QS_DEPLOYMENT\u003C/code\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EEnter Runtime Name: \u003Ccode\u003ECDC_QS_RUNTIME\u003C/code\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ENode Type: \u003Ccode\u003EM\u003C/code\u003E, Min nodes: 1, Max nodes: 1\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect Runtime Role: Choose \u003Ccode\u003ESQL_SERVER_NETWORK_RULE\u003C/code\u003E from the dropdown\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect External Access Integration: Choose \u003Ccode\u003EEAI_SQL_SERVER_INTEGRATION\u003C/code\u003E from the dropdown\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect Compute Pool: Choose an existing compute pool from the list\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EComplete the runtime creation\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003ENOTE\u003C/p\u003E\n","\u003Cp\u003ERuntime creation typically takes 3-5 minutes. The status will progress from CREATING → ACTIVEOnce your runtime is active, you can access the Openflow canvas to add and configure connectors. We will add and configure connectors in the next section.\u003C/p\u003E\n\u003C/blockquote\u003E\n<!------------------>\n","\u003Ch2\u003ESQL Server Connector\u003C/h2\u003E\n","\u003Ch3\u003EConfigure and Launch the SQL Server CDC Connector\u003C/h3\u003E\n","\u003Cp\u003EThis section details the final step of launching the Openflow connector.\u003C/p\u003E\n","\u003Cp\u003E\u003Cimg src=\"https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-openflow-for-cdc-on-sql-server/connectors.png?v=3749fa69\" alt=\"Openflow Connectors\"\u003E\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003ENavigate to the Openflow Overview page. On the Openflow connectors page, find the SQL Server connector and select Add to runtime.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EIn the Select runtime dialog, select \u003Ccode\u003ECDC_QS_RUNTIME\u003C/code\u003E from the available runtimes drop-down list. Select Add.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EAuthenticate to the deployment with your Snowflake account credentials and select \u003Ccode\u003Eallow\u003C/code\u003E when prompted to allow the runtime application to access your Snowflake account. The connector installation process takes a few minutes to complete.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EAuthenticate to the runtime with your Snowflake account credentials.The Openflow canvas appears with the connector process group added to it.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EDouble click on the process group. You will notice it has two other process groups nested under it. Snapshot load, Incremental load.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EDouble click on the Incremental load to see the DAG of processors in the process group.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Cp\u003E![SQL Server Process Group](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-openflow-for-cdc-on-sql-server/sql server connector.png?v=3749fa69)\u003C/p\u003E\n","\u003Ch3\u003EConfigure the connector\u003C/h3\u003E\n","\u003Cp\u003EYou can configure the connector to replicate a set of tables in real-time.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003ERight-click on the \u003Ccode\u003EIncremental Load\u003C/code\u003E process group and select Parameters. \u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ESelect ‘SQL Server Ingestion Parameters' and update the parameters such as destination table, account name, JDBC URL, JDBC driver and other credentials to authenticate.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EPopulate all the required parameter values as described in \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/sql-server/setup#flow-parameters\"\u003ESnowflake Openflow Documentation\u003C/a\u003E.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003Cblockquote\u003E\n","\u003Cp\u003ENOTE\u003C/p\u003E\n","\u003Cp\u003EThe connector does not replicate any data until any tables to be replicated are explicitly added to its ingestion configuration.\u003C/p\u003E\n\u003C/blockquote\u003E\n","\u003Ch3\u003ERun the flow\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003ERight-click on the plane and select Enable all Controller Services.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ERight-click on the \u003Ccode\u003Esqlserver-connector\u003C/code\u003E and select Start. The connector starts the data ingestion.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EExploratory Analysis of Ingested Data\u003C/h3\u003E\n","\u003Cp\u003EOnce the initial data replication from SQL Server to the \u003Ccode\u003ENORTHWIND_QS\u003C/code\u003E database in Snowflake is complete, you can perform an exploratory analysis to validate the ingested data.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003EDownload Analysis Notebook: Download the \u003Ccode\u003Enorthwind.ipynb\u003C/code\u003E Jupyter Notebook from this \u003Ca href=\"https://github.com/Snowflake-Labs/sf-samples/blob/main/samples/openflow-cdc-sqlserver-demo/snowflake-setup/NORTHWIND.ipynb\"\u003Egit repository\u003C/a\u003E.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EExecute in Snowflake UI: Upload and open the \u003Ccode\u003Enorthwind.ipynb\u003C/code\u003E notebook within the Snowflake UI's notebook environment.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003ERun Analysis Cells: Execute all cells in the notebook sequentially to perform the data analysis. \u003Cstrong\u003EDo not execute the final cell\u003C/strong\u003E, as it is reserved for the live data validation step.Completing this analysis confirms that the initial data load was successful and prepares the environment for the next phase, where we will generate live transactions in SQL Server to verify that the changes are tracked and replicated into Snowflake in real time.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n","\u003Ch3\u003ELive Data Simulation and Real-Time Verification\u003C/h3\u003E\n","\u003Cp\u003EThis final procedure validates the end-to-end CDC pipeline by simulating new transactional data in the source SQL Server and observing its immediate replication and availability in Snowflake.\u003C/p\u003E\n","\u003Ch3\u003ESimulate Live Transactions in SQL Server\u003C/h3\u003E\n","\u003Cp\u003ETo generate changes for the CDC process to capture, you will execute pre-defined SQL scripts from \u003Ca href=\"https://github.com/Snowflake-Labs/sf-samples/tree/main/samples/openflow-cdc-sqlserver-demo/sqlserver-setup\"\u003Ethis repository\u003C/a\u003E against the source Northwind database.\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EConnect to Source Database: Establish a connection to your SQL Server instance using a suitable SQL client (e.g., SSMS).\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EExecute Scripts: Run the following scripts from the project repository to introduce new data:\u003C/p\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003Elive_orders.sql: Executes a series of INSERT statements into the OrderDetails table, simulating new incoming sales orders.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003Ewaffles.sql: Simulates a product catalog update by adding a new item to the Products table and also inserts associated sales orders for that new product.\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003EVerify Real-Time Replication in Snowflake\u003C/h3\u003E\n","\u003Cp\u003EAfter the simulation scripts have been executed in SQL Server, the changes will be captured and streamed by Openflow. You can verify their arrival in Snowflake nearly instantly.\u003C/p\u003E\n\u003Col\u003E\u003Cli\u003E\n","\u003Cp\u003ENavigate to Snowflake UI**:** Return to the \u003Ccode\u003Enorthwind.ipynb\u003C/code\u003E notebook that you previously ran within the Snowflake UI.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EExecute Final Cell: Locate and run the \u003Cstrong\u003Elast cell\u003C/strong\u003E of the notebook.\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EConfirm Results: The output of this cell will query the target tables and display the new transaction records (the new orders and the "waffles" product) that were just generated in SQL Server, confirming the successful real-time replication of data.\u003C/p\u003E\n\u003C/li\u003E\u003C/ol\u003E\n<!------------------>\n","\u003Ch2\u003EConclusion and Resources\u003C/h2\u003E\n","\u003Cp\u003EYou've successfully built a real-time Change Tracking pipeline to stream data from SQL Server to Snowflake using Openflow. This modern approach to data integration eliminates the delays of traditional batch jobs, enabling immediate data analysis and faster business decisions.\u003C/p\u003E\n","\u003Ch3\u003EWhat You Learned\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003EHow to set up a source database for Change Tracking.\u003C/li\u003E\u003Cli\u003EHow to configure Snowflake Openflow by creating deployments, runtimes, and the necessary roles and integrations.\u003C/li\u003E\u003Cli\u003EHow to launch and configure an Openflow SQL Server connector to stream data.\u003C/li\u003E\u003Cli\u003EHow to validate a real-time pipeline by simulating live transactions and observing the immediate replication in Snowflake.\u003C/li\u003E\u003C/ul\u003E\n","\u003Ch3\u003ERelated Resources\u003C/h3\u003E\n\u003Cul\u003E\u003Cli\u003E\n","\u003Cp\u003EOpenflow for SPCS Quickstart: \u003Ca href=\"/en/developers/guides/getting-started-with-openflow-spcs/\"\u003EGetting Started with Openflow in Snowpark Container Services\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EUnstructured Data Pipelines: \u003Ca href=\"/en/developers/guides/getting-started-with-openflow-unstructured-data-pipeline/\"\u003EGetting Started with Openflow for Unstructured Data\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EOfficial Connector Documentation:\u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/sql-server/about\"\u003EAbout the SQL Server Connector\u003C/a\u003E and \u003Ca href=\"https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/sql-server/setup\"\u003ESQL Server Connector Setup\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003Cli\u003E\n","\u003Cp\u003EDemo Video: \u003Ca href=\"https://www.youtube.com/watch?v=B33ocnvjKKs\"\u003EOLTP Database CDC Streaming With Snowflake Openflow\u003C/a\u003E\u003C/p\u003E\n\u003C/li\u003E\u003C/ul\u003E\n<!------------------>"],"title":"Getting Started with Snowflake Openflow for Change Data Capture from SQL Server","elementsOrder":["quickstartArticleBody","quickstartArticleLogoImage"],"elements":{"quickstartArticleBody":{"dataType":"string","title":"Quickstart Article Body","value":"\u003C!-- ------------------------ --\u003E\n\n## Overview\n\nThrough this guide, you will learn how to move beyond slow, nightly batch jobs and stream data in real-time from an operational database like SQL Server directly into Snowflake. Using Openflow, a cloud-native data movement platform, you will build a continuous Change Tracking pipeline that unlocks immediate access to your business data for faster, more accurate analytics.\n\n### What You Will Learn\n\nBy the end of this guide, you will learn to work with:\n\n* Snowflake Openflow to configure and launch a SQL Server data connector.\n\n* Create Openflow deployment, runtime and other Snowflake components required for the demo.\n\n* [Change Tracking](https://learn.microsoft.com/en-us/sql/relational-databases/track-changes/track-data-changes-sql-server?view=sql-server-ver17#change-tracking) on a source SQL Server database.\n\n\u003E NOTE\n\u003E\n\u003E Please note that Openflow on SPCS is not available on Snowflake's free [trial account](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides). Please input credit card details to work through this quickstart or use your own Snowflake accounts.\n\n### What is Snowflake Openflow?\n\nOpenflow is a cloud-native data movement platform built on Apache NiFi, designed specifically for scalable, real-time streaming and Change Data Capture (CDC) pipelines. It provides a unified experience for building and monitoring data integration workflows, complete with built-in observability and governance.\n\n![Openflow](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-openflow-for-cdc-on-sql-server/openflow.png?v=3749fa69)\n\nOpenflow is engineered for high-speed, continuous ingestion of all data types—from structured database records to unstructured text, images, and sensor data—making it ideal for feeding near real-time data into modern cloud platforms for AI and analytics.\n\n### What is Change Tracking in SQL Server (CT)?\n\nChange tracking captures the fact that rows in a table were changed, but doesn't capture the data that was changed. This enables applications to determine the rows that have changed with the latest row data being obtained directly from the user tables. Therefore, change tracking is more limited in the historical questions it can answer compared to change data capture. However, for those applications that don't require the historical information, there's far less storage overhead because of the changed data not being captured. A synchronous tracking mechanism is used to track the changes. This has been designed to have minimal overhead to the DML operations.\n\n* Operational Load: Avoids heavy ETL queries that can slow down and impact database performance.\n\n* Orchestration Complexity: Simplifies data pipelines, reducing the operational risks of managing complex ETL jobs.\n\n* Limited Scalability: Easily scales with growing data volumes where traditional ETL struggles.\n\n* Incremental Load Issues: Natively handles tracking changes, a complex task for batch processes.\n\n* High Maintenance: Reduces the overhead and sprawl of maintaining numerous custom scripts.\n\n### What You'll Build\n\nBy the end of this quickstart guide, you will learn how to build:\n\n* Enable Change Tracking on a source SQL Server database.\n* Use the Openflow platform to configure and launch a real-time data connector.\n* Stream live data from an OLTP database directly into Snowflake tables.\n* Query and analyze real-time data within Snowflake to generate immediate business insights.\n\n### Prerequisites\n\nA Snowflake account with Snowflake Openflow and Snowpark Container Services access.\n\n\u003E NOTE\n\u003E\n\u003E Please note that Openflow on SPCS is not available on Snowflake's free [trial account](https://signup.snowflake.com/?utm_source=snowflake-devrel&utm_medium=developer-guides&utm_cta=developer-guides). Please input credit card details to work through this quickstart or use your own Snowflake accounts.\n\n\u003C!-- ------------------------ --\u003E\n## Automate With Snowflake CoCo\n\nDuration: 5\n\nOnce your SQL Server database has Change Tracking enabled and your Openflow deployment and runtime are provisioned, you can use [Snowflake CoCo](https://docs.snowflake.com/en/user-guide/cortex-code/cortex-code) — Snowflake's AI coding assistant built into the CLI — to automate the connector deployment workflow. The built-in `openflow` skill handles EAI setup, network validation, connector deployment, JDBC driver upload, parameter configuration, controller setup, and pipeline start.\n\n**No installation required.** The `openflow` skill ships with Snowflake CoCo out of the box.\n\n\u003E **Before starting Snowflake CoCo, ensure the following are complete:**\n\u003E - SQL Server setup done with Change Tracking enabled ([SQL Server Setup](#sql-server-setup))\n\u003E - Openflow deployment and runtime already provisioned in Snowflake\n\u003E - Destination database and connector role created in Snowflake\n\n### What Snowflake CoCo Automates\n\nStarting from a working Openflow runtime, the skill handles all steps in the **Configure Openflow** and **SQL Server Connector** sections:\n\n| Step | What Snowflake CoCo Does |\n|---|---|\n| Configure Network Access (EAI) | Creates External Access Integration for SQL Server host connectivity |\n| Validate Network Connectivity | Tests TCP connectivity to SQL Server host:1433 before deploying |\n| Deploy the Connector Flow | Deploys the `sqlserver` connector flow from the catalog |\n| Upload JDBC Driver | Downloads and uploads the Microsoft SQL Server JDBC driver |\n| Configure Source Parameters | Sets JDBC connection URL, credentials, and tables to replicate |\n| Configure Snowflake Destination | Sets destination database, role, warehouse, and authentication |\n| Configure Ingestion Parameters | Sets table inclusion rules and identifier resolution |\n| Verify Controllers | Runs `verify_config` before enabling controller services |\n| Enable Controllers | Enables all controller services and checks for errors |\n| Verify Processors | Runs `verify_config` after controllers are enabled |\n| Start the Connector | Starts the pipeline and confirms changes are streaming |\n| Validate Data Flow | Checks flow status and confirms rows are appearing in Snowflake |\n| Reconcile Source vs Destination | Connects to SQL Server to query source row counts, compares against Snowflake destination across all replicated tables, and flags mismatches |\n\n\u003E **Note:** Creating the Openflow deployment and runtime, SQL Server prerequisites (AWS RDS setup, SSMS, Northwind database, Change Tracking enablement), and Snowflake account prerequisites (destination database, connector role) must all be completed before invoking Snowflake CoCo.\n\n### Beyond Initial Setup\n\nSnowflake CoCo also helps with **Day 2 operations** after your pipeline is running:\n\n| Operation | What Snowflake CoCo Does |\n|---|---|\n| Add tables to a running pipeline | Updates inclusion parameters and monitors new tables through snapshot into incremental replication |\n| Data reconciliation | Connects to SQL Server, queries source row counts, compares against Snowflake destination across all replicated tables, and flags mismatches |\n| Incremental replication | Configures skip-snapshot mode for tables you've already bulk-loaded via other methods |\n| Troubleshooting | Reads NiFi bulletins, diagnoses Change Tracking retention expiry, and guides FAILED state recovery |\n| Journal table cleanup | Identifies stale journal tables for removed tables and guides safe cleanup |\n\n### Get Started\n\nOpen a Snowflake CoCo session in your terminal and run:\n\n```\nset up openflow for sql server cdc\n```\n\nThe skill will confirm your intent, ask for your SQL Server connection details and Snowflake target, then walk through each step.\n\n### More Example Prompts\n\n```\ndeploy sql server cdc connector in openflow\n```\n\n```\nconfigure openflow connector for sql server\n```\n\n\u003C!------------------\u003E\n\n## SQL Server Setup\n\nTo set the stage for our real-time data streaming demonstration, we first need a source database. We will use SQL Server as a transaction db for this use-case. This will serve as the live OLTP environment from which we will stream data changes into Snowflake.\n\n### 1. Creating the AWS RDS SQL Server Instance\n\nThis is the primary, step-by-step guide from AWS for creating and connecting to a SQL Server instance on RDS. It covers everything from the initial setup in the AWS console to configuring the security groups.\n\n* Official AWS Documentation:[Create and Connect to a Microsoft SQL Server Database with Amazon RDS](https://aws.amazon.com/getting-started/hands-on/create-microsoft-sql-db/)\n\nThis is a more general guide that provides context on all available settings when creating an RDS instance.\n\n* AWS User Guide:[Creating an Amazon RDS DB instance](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_CreateDBInstance.html)\n\n### 2. Connecting with SQL Server Management Studio (SSMS)\n\nOnce your RDS instance is running, this AWS document shows you exactly how to find your database endpoint and connect to it using the most common tool, SSMS.\n\n* Official AWS Documentation:[Connecting to your DB instance with Microsoft SQL Server Management Studio](https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ConnectToMicrosoftSQLServerInstance.SSMS.html)\n\n### 3. Getting and Loading the Northwind Database Script\n\nThe installation script `instawnd.sql` for the Northwind database is provided by Microsoft. The link below is to the official Microsoft SQL Server samples repository on GitHub, which is the most reliable place to get the script.\n\n* Official Microsoft GitHub Repository:[Northwind and pubs sample databases for Microsoft SQL Server](https://github.com/microsoft/sql-server-samples/tree/master/samples/databases/northwind-pubs)\n\nOnce you download the `instawnd.sql` file from that repository, you can simply open it in SSMS (while connected to your RDS instance) and execute it to create and populate all the Northwind tables.\n\n### Configure Change-tracking on Database\n\nTo configure change-tracking, execute the `console.sql` script from  [this repository](https://github.com/Snowflake-Labs/sf-samples/tree/main/samples/openflow-cdc-sqlserver-demo/sqlserver-setup) against the Northwind database.\n\n* It enables Change Tracking for the entire Northwind database. This is configured to retain tracking information for two days and to automatically clean up old, expired tracking data.\n\n* The script also enables tracking on each individual table that we need to monitor for changes. This includes tables like Orders, OrderDetails, Products, and Customers. For each table, it also activates an important option to track which specific columns were modified during an update, providing more granular detail for the data pipeline.\n\n* Finally, the script executes an `UPDATE` statement to simulate a real-world transaction. It finds and modifies a set of recent orders related to a specific product, changing their order and shipping dates. Because Change Tracking is now active, this modification is immediately captured and will be picked up by the Change Tracking process.\n\nIn the next section, we will configure Snowflake Openflow connector and analyze real-time data from SQL Server to generate business insights\n\n\u003C!------------------\u003E\n\n## Configure Openflow\n\n### Available Connectors\n\nOpenflow supports 19+ connectors including:\n\n* Cloud Storage: Google Drive, Box, SharePoint, Amazon S3, Azure Blob Storage\n\n* Databases: MySQL, PostgreSQL, Oracle, SQL Server\n\n* Messaging: Kafka, RabbitMQ\n\n* SaaS Applications: Salesforce, ServiceNow, WorkdayFor a complete list with descriptions, see [Openflow connectors](https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/about-openflow-connectors).\n\n### Openflow Configuration\n\nBefore creating a deployment, you need to configure core Snowflake components including the `OPENFLOW_ADMIN` role and network rule.\n\n* Download `setup_roles.sql` from [this repository](https://github.com/Snowflake-Labs/sf-samples/tree/main/samples/openflow-cdc-sqlserver-demo/snowflake-setup).\n\n* Login to your Snowflake Account.\n\n* In Snowsight, on the left panel, navigate to Projects → Worksheets.\n\n* Click \"+ Project\" to create a new project\n\n* Add SQL File: Click \"...\" (more options) → \"Import SQL file\"\n\n* Select Downloaded Script: Choose the .sql file you downloaded (e.g., `setup_roles.sql`)\n\n* Click the ▶ Run All button to execute the entire script to create all the roles needed for deployment\n\n* This creates the admin role and grants it the necessary permissions to create and manage Openflow deployments.\n\n* It also creates the required network rule for Openflow deployments to communicate with Snowflake services.\n\n\u003E NOTE\n\u003E \n\u003E For a detailed, step-by-step guide on these prerequisite configurations, please complete **Steps 2** of the following Snowflake Quickstart guide: [Snowflake Configuration for Openflow](/en/developers/guides/getting-started-with-openflow-spcs/).\n\n### Create Deployment\n\nWith the core Snowflake components configured, the next step is to create the Openflow deployment. This deployment provisions the necessary containerized environment within your Snowflake account where the Openflow service will execute.\n\n### IMPORTANT: Verify User Role\n\nBefore proceeding, ensure your current active role in the Snowsight UI is set to `OPENFLOW_ADMIN`. You can verify and switch your role using the user context menu located in the top-left corner of the Snowsight interface. Failure to assume the correct role will result in permissions errors during the deployment creation process.First, login to Snowflake UI.\n\n1) On the left pane, navigate to Data → Ingestion → Openflow\n\n2) Openflow Interface: You'll see three tabs:\n\n   - Overview - List of available connectors and documentation\n\n   - Runtimes - Manage your runtime environments\n\n   - Deployments - Create and manage Openflow deployment\n\n3) Click on the Deployments tab. Click Create Deployment button\n\n4) Enter Deployment Location as `Snowflake` and Name as `CDC_QS_DEPLOYMENT`\n\n5) Complete the wizard\n\n6) Look for your deployment with status ACTIVE to verify deployment status\n\n### Create Runtime Role\n\nCreate a runtime role that will be used by your Openflow runtime. This role needs access to databases, schemas, and warehouses for data ingestion.\n\n```sql\n-- Create runtime role\nUSE ROLE ACCOUNTADMIN;\nCREATE ROLE IF NOT EXISTS NORTHWIND_ROLE;\n\n-- Create database for Openflow resources\nCREATE DATABASE IF NOT EXISTS NORTHWIND_QS;\n\n-- Create warehouse for data processing\nCREATE WAREHOUSE IF NOT EXISTS NORTHWIND_WH\n  WAREHOUSE_SIZE = MEDIUM\n  AUTO_SUSPEND = 300\n  AUTO_RESUME = TRUE;\n\n-- Grant privileges to runtime role\nGRANT USAGE ON DATABASE NORTHWIND_QS TO ROLE NORTHWIND_ROLE;\nGRANT USAGE ON WAREHOUSE NORTHWIND_WH TO ROLE NORTHWIND_ROLE;\n\n-- Grant runtime role to Openflow admin\nGRANT ROLE NORTHWIND_ROLE TO ROLE OPENFLOW_ADMIN;\n```\n\n### Create External Access Integration\n\nExternal Access Integrations allow your runtime to connect to external data sources. This quickstart creates one integration with network rules for SQL Server.\n\n\u003E USE COMPANION NOTEBOOKS:\n\u003E\n\u003E For detailed External Access Integration setup for specific connectors, use the notebooks from the [companion repository](https://github.com/Snowflake-Labs/sfguide-getting-started-with-openflow-spcs/tree/main/notebooks) and look for SQL Server\n\n\n### Create Runtime\n\nNext step is to create a runtime associated with the previously created runtime role. A runtime is the execution environment for your Openflow connectors. Follow these steps to create your runtime:* Navigate to Data → Ingestion → Openflow → Runtimes tab\n\n* Click the Create Runtime button in the top right, and select the following inputs:\n\n  - Deployment Name: `CDC_QS_DEPLOYMENT`\n\n  - Enter Runtime Name: `CDC_QS_RUNTIME`\n\n  - Node Type: `M`, Min nodes: 1, Max nodes: 1\n\n  - Select Runtime Role: Choose `SQL_SERVER_NETWORK_RULE` from the dropdown\n\n  - Select External Access Integration: Choose `EAI_SQL_SERVER_INTEGRATION` from the dropdown\n\n  - Select Compute Pool: Choose an existing compute pool from the list\n\n* Complete the runtime creation\n\n\u003E NOTE\n\u003E\n\u003E Runtime creation typically takes 3-5 minutes. The status will progress from CREATING → ACTIVEOnce your runtime is active, you can access the Openflow canvas to add and configure connectors. We will add and configure connectors in the next section.\n\n\u003C!------------------\u003E\n\n## SQL Server Connector \n\n### Configure and Launch the SQL Server CDC Connector\n\nThis section details the final step of launching the Openflow connector.\n\n![Openflow Connectors](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-openflow-for-cdc-on-sql-server/connectors.png?v=3749fa69)\n\n* Navigate to the Openflow Overview page. On the Openflow connectors page, find the SQL Server connector and select Add to runtime.\n\n* In the Select runtime dialog, select `CDC_QS_RUNTIME` from the available runtimes drop-down list. Select Add.\n\n* Authenticate to the deployment with your Snowflake account credentials and select `allow` when prompted to allow the runtime application to access your Snowflake account. The connector installation process takes a few minutes to complete.\n\n* Authenticate to the runtime with your Snowflake account credentials.The Openflow canvas appears with the connector process group added to it.\n\n* Double click on the process group. You will notice it has two other process groups nested under it. Snapshot load, Incremental load.\n\n* Double click on the Incremental load to see the DAG of processors in the process group.\n\n![SQL Server Process Group](https://www.snowflake.com/content/dam/snowflake-site/developers/guides/getting-started-with-openflow-for-cdc-on-sql-server/sql server connector.png?v=3749fa69)\n\n### Configure the connector\n\nYou can configure the connector to replicate a set of tables in real-time.\n\n* Right-click on the `Incremental Load` process group and select Parameters. \n\n* Select ‘SQL Server Ingestion Parameters' and update the parameters such as destination table, account name, JDBC URL, JDBC driver and other credentials to authenticate.\n\n* Populate all the required parameter values as described in [Snowflake Openflow Documentation](https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/sql-server/setup#flow-parameters).\n\n\u003E NOTE\n\u003E\n\u003E The connector does not replicate any data until any tables to be replicated are explicitly added to its ingestion configuration.\n\n### Run the flow\n\n- Right-click on the plane and select Enable all Controller Services.\n\n- Right-click on the `sqlserver-connector` and select Start. The connector starts the data ingestion.\n\n### Exploratory Analysis of Ingested Data\n\nOnce the initial data replication from SQL Server to the `NORTHWIND_QS` database in Snowflake is complete, you can perform an exploratory analysis to validate the ingested data.\n\n1) Download Analysis Notebook: Download the `northwind.ipynb` Jupyter Notebook from this [git repository](https://github.com/Snowflake-Labs/sf-samples/blob/main/samples/openflow-cdc-sqlserver-demo/snowflake-setup/NORTHWIND.ipynb).\n\n2) Execute in Snowflake UI: Upload and open the `northwind.ipynb` notebook within the Snowflake UI's notebook environment.\n\n3) Run Analysis Cells: Execute all cells in the notebook sequentially to perform the data analysis. **Do not execute the final cell**, as it is reserved for the live data validation step.Completing this analysis confirms that the initial data load was successful and prepares the environment for the next phase, where we will generate live transactions in SQL Server to verify that the changes are tracked and replicated into Snowflake in real time.\n\n### Live Data Simulation and Real-Time Verification\n\nThis final procedure validates the end-to-end CDC pipeline by simulating new transactional data in the source SQL Server and observing its immediate replication and availability in Snowflake.\n\n### Simulate Live Transactions in SQL Server\n\nTo generate changes for the CDC process to capture, you will execute pre-defined SQL scripts from [this repository](https://github.com/Snowflake-Labs/sf-samples/tree/main/samples/openflow-cdc-sqlserver-demo/sqlserver-setup) against the source Northwind database.\n\n* Connect to Source Database: Establish a connection to your SQL Server instance using a suitable SQL client (e.g., SSMS).\n\n* Execute Scripts: Run the following scripts from the project repository to introduce new data:\n\n  - live_orders.sql: Executes a series of INSERT statements into the OrderDetails table, simulating new incoming sales orders.\n\n  - waffles.sql: Simulates a product catalog update by adding a new item to the Products table and also inserts associated sales orders for that new product.\n\n### Verify Real-Time Replication in Snowflake\n\nAfter the simulation scripts have been executed in SQL Server, the changes will be captured and streamed by Openflow. You can verify their arrival in Snowflake nearly instantly.\n\n1) Navigate to Snowflake UI**:** Return to the `northwind.ipynb` notebook that you previously ran within the Snowflake UI.\n\n2) Execute Final Cell: Locate and run the **last cell** of the notebook.\n\n3) Confirm Results: The output of this cell will query the target tables and display the new transaction records (the new orders and the \"waffles\" product) that were just generated in SQL Server, confirming the successful real-time replication of data.\n\n\u003C!------------------\u003E\n\n## Conclusion and Resources\n\nYou've successfully built a real-time Change Tracking pipeline to stream data from SQL Server to Snowflake using Openflow. This modern approach to data integration eliminates the delays of traditional batch jobs, enabling immediate data analysis and faster business decisions.\n\n### What You Learned\n\n* How to set up a source database for Change Tracking.\n* How to configure Snowflake Openflow by creating deployments, runtimes, and the necessary roles and integrations.\n* How to launch and configure an Openflow SQL Server connector to stream data.\n* How to validate a real-time pipeline by simulating live transactions and observing the immediate replication in Snowflake.\n\n### Related Resources\n\n* Openflow for SPCS Quickstart: [Getting Started with Openflow in Snowpark Container Services](/en/developers/guides/getting-started-with-openflow-spcs/)\n\n* Unstructured Data Pipelines: [Getting Started with Openflow for Unstructured Data](/en/developers/guides/getting-started-with-openflow-unstructured-data-pipeline/)\n\n* Official Connector Documentation:[About the SQL Server Connector](https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/sql-server/about) and [SQL Server Connector Setup](https://docs.snowflake.com/en/user-guide/data-integration/openflow/connectors/sql-server/setup)\n\n* Demo Video: [OLTP Database CDC Streaming With Snowflake Openflow](https://www.youtube.com/watch?v=B33ocnvjKKs)\n\n\u003C!------------------\u003E\n",":type":"text/x-markdown","multiValue":false},"quickstartArticleLogoImage":{"dataType":"string","title":"Quickstart Article Logo Image",":type":"text/plain","multiValue":false}},"isDeveloperGuidesPage":false,":type":"snowflake-site/components/contentfragment",":items":{},":itemsOrder":[],"model":"snowflake-site/models/quickstart-article"},"flexible_column_cont":{"id":"flexible-column-container-a8e2dd24d9","type":"2-column-75-25","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"none","bottomPadding":"none","spaceBetween":"none","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-29ae0659a2",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container",":items":{"quickstart_last_modi":{"id":"quickstart-last-modified-1d80176886","icon":{"id":"icon","icon":"calendar",":type":"snowflake-site/components/icon","appliedCssClassNames":"snowflake-icon-blue"},"lastModifiedDatePrefix":"Updated","lastModifiedDate":"2026-04-07",":type":"snowflake-site/components/quickstart/quickstart-last-modified","appliedCssClassNames":"snowflake-responsive-component-top-padding-small"},"text":{"id":"text-948265cea9","additionalClasses":"qs-disclaimer-text","text":"\u003Cp\u003E\u003Cspan style=\"color: #666;\"\u003EThis content is provided as is, and is not maintained on an ongoing basis. It may be out of date with current Snowflake 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