Feature
Snowflake Openflow
Move data effortlessly and scale with confidence for all your integration needs, in one single platform.
Free up data movement
Get ultimate interoperability with any connector your business demands.
Lay the groundwork for AI
Unlock ETL pipelines to empower AI agents to make decisions at machine speed, leaving no data behind.
Scale across the enterprise
Build scalable, enterprise-ready integration with flexible deployment, data observability and governance.
Build with limitless interoperability
Connect data from any source to any destination
Facilitate open and interoperable architecture. Move data to data lakes and lakehouses, and easily adapt to new industry standards like Apache Iceberg.
Unify structured and unstructured, batch and streaming data movement into one platform with connectors across SaaS, OLTP databases, event streams, files storages and much more.
Radically simplify and speed up data integration development with hundreds of out-of-the-box connectors and processors.
Build custom connectors in minutes and run seamlessly on Snowflake’s managed platform thanks to an inherently open and extensible foundation.


Empower AI
Turbocharge ETL for AI
Work with multi-modal data directly from the source, including SharePoint, Slack, Box and Google Drive.
Comply with source system access control list (ACL) and carry consistent user permissions with the source.
Communicate in near-real time and bi-directionally with streaming and continuous data movement (via HTTP listeners and publishers).
- Built-in Snowflake Cortex capabilities can parse and pre-process the unstructured files before writing to Snowflake — all in one platform.
Simplify operations
Scale with confidence
Get full control over where your integration pipelines run with ease of use, governance and transparency.
You decide where to deploy integration pipelines: via Snowflake-managed infrastructure or bring your own cloud (BYOC) within your VPCs closer to where your source systems are.
Reduce operational burden no matter where your pipeline is deployed.
Know where your data and pipelines come from — and what happens to them — every step of the way thanks to full data lineage.
Get enterprise-grade governance including advanced RBAC.

Snowflake Openflow Overview
Powered by open source
Openflow supercharges Apache NiFi with enterprise-ready governance, security, deployment flexibility and observability.
Openflow connectors
Highly curated, managed, secured and governed against source systems, Openflow connectors are easily extensible and customizable with processor components.
Openflow Service and API
Openflow service and API runs in Snowflake as a managed service, allowing you to provision and manage data pipelines easily with an intuitive UI. Get a unified user experience with deep observability, including real-time monitoring and alerts, DAG visualization and refresh history information.
Deployment and runtime
Run the Openflow connectors and pipelines in the environment. You can execute in your own VPC via bring your own cloud (BYOC), generally available in AWS, or in Snowflake Snowpark Container Services (SPCS)*, both managed by Snowflake.
Openflow Partners
Snowflake Openflow
Frequently Asked Questions
Find answers here about Snowflake Openflow features, Apache NiFi, and how it can streamline your data pipelines.
Snowflake Openflow is a managed integration service built on Apache NiFi. It's designed to connect virtually any data source to any destination, supporting structured and unstructured data and running in your own cloud environment for complete control.
Snowflake Openflow is built on Apache NiFi, leveraging its robust data flow capabilities. This means you can use familiar NiFi processors and controller services, alongside Snowflake-specific components, including advanced governance and control, observability, and option to run and deploy integration in your cloud or via Snowflake managed Snowpark Container Services, with both services managed by Snowflake.
Openflow is designed to handle a wide array of data, including structured, semi-structured, and unstructured (text, images, audio, video, sensor data). It offers connectors for various SaaS platforms (e.g., Google Ads, Meta Ads, SharePoint, Box), databases (MySQL, PostgreSQL), streaming services (Kafka, Kinesis), and more.
Openflow facilitates the near real-time ingestion of multimodal and unstructured data from sources like Google Drive or SharePoint. The connectors provide built-in capabilities to extract, preprocess (using Snowflake Cortex LLM functions), load and activate unstructured data directly in the ETL pipeline. This makes the data readily available for AI processing and applications, such as building "chat with your data" experiences using Snowflake Cortex AI.
Snowflake Openflow is a managed service that offers customers options to run either via Bring Your Own Cloud (BYOC) or via Snowflake’s Snowpark Container Services (SPCS). With BYOC, customer-run integration within your own cloud environment (initially available in AWS commercial regions, deployed in your VPC). This gives you more control over your data and network, while Snowflake manages the Openflow service itself, including the UI, observability, and APIs for deploying and managing runtimes. With SPCS (currently in private preview), all deployments and runtimes are managed by Snowflake.
As of June 3rd, 2025, Snowflake Openflow BYOC is generally available in all AWS Commercial Regions and SPCS is in private preview.