Migrate data warehouse code and objects to Snowflake with automated conversion for tables, views, ETL, reporting and procedures across major platforms. Analyze Spark codebases, assess Snowpark compatibility and transform eligible APIs into Snowpark equivalents for faster modernization.
Snowflake AIM unifies SnowConvert AI and Snowpark Migration Accelerator technologies to assess and migrate data and code to Snowflake. Analyze Spark code, convert APIs to Snowpark and modernize warehouses, tables, views, ETL, reporting and procedures across major platforms.
Assess, convert, migrate and validate in one guided experience. Snowflake AIM uses AI to streamline every step — from source connection to deployment — so you can get your first workload in production faster.
Reduced TCO and 28% reduced overall database cost vs. previous solution
Snowflake AIM builds a functional model of your codebase, not just pattern matching, so you can more accurately convert intricate SQL and Spark workloads into optimized Snowflake and Snowpark implementations.
Whether modernizing a single workload or an enterprise ecosystem, Snowflake AIM scales efficiently across data warehouses, ETL pipelines and BI environments.
Improve data accuracy and functional equivalence with built-in validation. Test, reconcile and verify data and code throughout the process with automated checks, reusable rules and detailed reporting.
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“Since Snowflake is already a key part of our data strategy, many teams at Indeed were eager to get data into Snowflake as quickly as possible. Fortunately, Snowflake’s native support for Iceberg tables provides the performance, security and scalable compute needed to make that happen.”
Daniel DeMara,
Staff Software Engineer
Answers to common Snowflake migration questions, including coverage, automation, Spark support, rewrites, validation and how to migrate faster with less risk.
Snowflake AIM is an AI-powered migration solution that automates assessment, code conversion, migration and validation. It modernizes data warehouses, ETL pipelines, reporting systems and Spark workloads into Snowflake faster and with greater accuracy.
Snowflake AIM supports migrations from Oracle, SQL Server, Teradata, Amazon Redshift, Google BigQuery, Greenplum, Sybase, Synapse, Netezza, PostgreSQL and Databricks SQL. It converts tables, views, stored procedures, ETL pipelines and reporting assets, with end-to-end support for SQL Server and Amazon Redshift.
Yes. Snowflake AIM analyzes Python- and Scala-based Spark codebases, identifies APIs and dependencies, assesses Snowpark compatibility and converts eligible Spark APIs into Snowpark equivalents for streamlined modernization.
Not always. Snowflake AIM automates conversion of SQL, ETL pipelines and reporting systems to reduce or eliminate manual rewrites. For faster migrations, some organizations also use Snowflake AIM for virtualization to run existing workloads with minimal changes, then modernize over time using Snowflake AIM.
Snowflake AIM includes built-in validation to test, reconcile and verify data, ETL processes and reporting outputs throughout migration. Automated checks and detailed reporting enable functional equivalence and trusted results.
Migration timelines vary, but Snowflake AIM can accelerate code migration by an average of 88%.¶ AI-driven automation reduces manual effort across data, ETL and reporting migrations, speeding time to value. Many organizations also choose to virtualize to Snowflake, depending on their environment and migration timeline.
