Snowflake AIM¶
Snowflake AIM (AI-driven Modernization and Virtualization) automates the full journey of moving your data ecosystem to Snowflake. It covers three modernization paths — Teradata virtualization, data warehouse migration, and Spark workload modernization — powered by Snowflake AIM migration agents in Snowflake CoCo.
Virtualization¶
Run Teradata on Snowflake without rewriting¶
- Escape renewal pressure without a risky rewrite
- Eliminate rewrite risk — keep applications running
- Protect mission-critical operations with zero downtime
- Modernize faster and turn migration into AI-driven value
Modernization¶
Migrate data warehouses to Snowflake¶
- Convert code and database objects from leading data warehouses
- Support tables, views, stored procedures and more
- Deploy to Snowflake native tables or managed Iceberg tables
- Automatic translation of legacy ETL workflows into dbt in Snowflake
Migrate and modernize Spark workloads¶
- Analyze Python, Java, or Scala-based Spark code to identify APIs and patterns
- Assess compatibility with Snowpark and Snowpark Connect
- Generate automated conversions to Snowpark equivalents
Virtualization vs. Modernization¶
| Virtualization | Modernization | |
|---|---|---|
| What it means | Run existing workloads on Snowflake without rewriting | Fully convert code, data, and pipelines to run natively on Snowflake |
| Best for | Escaping renewal pressure fast, or when decoupling applications is not immediately possible | Net-new migrations where teams want Snowflake-native SQL and pipelines |
| Rewrite required | No | Yes — AI-assisted |
| Downtime | Zero downtime | Phased cutover |