Snowflake AIM for Enterprise Migration and Modernization

Snowflake AIM for Enterprise Migration and Modernization

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Blog / Product and Technology / Introducing Snowflake AIM, the AI-Powered Platform for Enterprise Migration and Modernization

JUN 15, 2026 / 1 min read Product and Technology Introducing Snowflake AIM, the AI-Powered Platform for Enterprise Migration and Modernization

Liam Sosinsky

Organizations today face increasing pressure to modernize data platforms, accelerate cloud adoption and unlock AI-driven innovation. Yet large-scale migrations remain one of the most complex, time-consuming and risky initiatives enterprises undertake. Teams must assess thousands of objects, modernize legacy code, migrate critical data, validate outcomes and maintain business continuity throughout the process.

To solve these challenges, enterprises typically pursue one of two paths. Some organizations choose to modernize their workloads, transforming legacy databases, applications, pipelines and analytics environments into Snowflake-native architectures optimized for long-term innovation. For highly complex Teradata migrations, Snowflake has introduced a virtualization -based approach that enables organizations to rapidly unlock value from AI and analytics across their Teradata estate while reducing migration risk and avoiding extensive rewrites, downtime or business disruption. This approach also helps organizations accelerate time to value and reduce the risk of missing critical Teradata renewal milestones. In practice, many organizations leverage both approaches as part of a phased modernization strategy.

Today, we're excited to announce Snowflake AIM , a unified AI-powered platform that helps organizations modernize, migrate and virtualize enterprise data and code workloads on Snowflake.

Introducing Snowflake AIM

Snowflake AIM brings together and builds on the proven capabilities of SnowConvert AI, Snowpark Migration Accelerator and Datometry into a single AI-powered platform designed to accelerate enterprise transformations.

Figure 1: Snowflake offers two migration paths — virtualization and modernization — along with the Snowflake AIM migration agent and the supported source systems that can be migrated.

Snowflake AIM provides two complementary paths to Snowflake.

Modernize with the AIM migration agent

For organizations seeking to fully modernize their technology stack, Snowflake AIM automates assessment, code conversion, dependency analysis, testing, validation and migration across databases, extract transform load (ETL) pipelines, Apache Spark™ workloads, APIs, stored procedures, reporting assets and business intelligence infrastructure. By combining AI-powered assessment, automated code conversion, orchestration and validation, Snowflake AIM helps teams transform legacy workloads into Snowflake-native architectures faster and with less risk.

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As part of Snowflake AIM's modernization capabilities, Snowpark Connect for Apache Spark continues to simplify Spark modernization by enabling organizations to bring Spark workloads to Snowflake with minimal rewrites. Recent enhancements include expanded Scala and Java support, streamlined deployment through the new snowpark-submit CLI, improved file processing capabilities such as schema evolution and parallel reads, and unified observability across environments including Jupyter, Airflow and external orchestration tools. Together, these advancements help accelerate migration efforts while reducing operational complexity. Utilize the spark-migration skill bundled with the CoCo CLI as part of Snowflake AIM to accelerate adoption of Snowpark and Snowpark Connect.

Virtualize to accelerate migration

For organizations looking to exit legacy platforms quickly, Snowflake AIM provides virtualization capabilities that enable true lift-and-shift migration with minimal disruption.

Customers can run existing workloads directly on Snowflake without extensive SQL rewrites, BI refactoring or application changes. Rather than spending months or years rebuilding dependencies before migration, teams can move to Snowflake faster, avoid costly platform renewals and maintain continuity for mission-critical operations.

Today this approach supports Teradata migrations, where organizations often face significant rewrite costs, operational risk and renewal pressure. With Snowflake AIM, customers can:

Exit Teradata faster with minimal rewrites

Avoid costly contract renewals and platform lock-in

Keep existing applications running unchanged

Mitigate migration downtime and business disruption

Reduce application regression risk

Accelerate time to value on Snowflake

Modernize incrementally at their own pace

Instead of forcing organizations to choose between a risky "big bang" migration and years of technical debt, Snowflake AIM enables a phased approach: Lift and shift Teradata workloads to Snowflake today, then modernize strategically over time.

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One platform, multiple paths to Snowflake

Whether organizations are transforming legacy environments into Snowflake-native architectures or virtualizing workloads to accelerate migration timelines, Snowflake AIM provides a unified platform for assessment, migration, modernization, testing, validation and orchestration.

The result is a faster, more predictable path to Snowflake that reduces migration risk, minimizes disruption and helps organizations unlock value from their data sooner. Teams can move at the pace their business requires while maintaining control over how and when modernization occurs.

With Snowflake AIM, customers no longer have to choose between speed and transformation; they can achieve both.

Simplify end-to-end database migration with the Snowflake AIM migration agent

A key innovation within Snowflake AIM is the introduction of the Snowflake AIM migration agent, an AI-assisted migration orchestrator that guides teams through the complete migration lifecycle.

The migration agent helps organizations move from planning to production with a structured, intelligent workflow that spans:

Assessment and planning

Code conversion and modernization

Object deployment

Data migration

Ingestion pipeline migration

BI infrastructure migration

Testing and validation

Remediation and optimization

Figure 2: Illustration of the key stages of the migration lifecycle, orchestrated by the Snowflake AIM Migration Agent.

Instead of relying on disconnected tools, spreadsheets, manual tracking and institutional...