Introducing Snowflake AIM, the AI-Powered Platform for Enterprise Migration and Modernization
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.
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.
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.
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
Instead of relying on disconnected tools, spreadsheets, manual tracking and institutional knowledge, teams gain a centralized migration experience that understands project state, tracks progress and coordinates execution across the entire migration journey.
Built on proven migration technology
The Snowflake AIM migration agent combines the reliability of deterministic migration technology with the flexibility of AI-assisted guidance.
At its core, the agent leverages the proven migration intellectual property behind SnowConvert AI, which has delivered enterprise migration outcomes for organizations worldwide over the past five years. This deterministic foundation provides consistency, repeatability and precision.
AI augments that foundation by helping teams resolve migration bottlenecks faster through:
- Intelligent issue explanation
- Suggested remediations
- Interactive code fixes
- Automated test generation
- Validation assistance
- Pattern recognition and reuse
The result is a migration experience that combines engineering-grade accuracy with AI-powered acceleration.
A purpose-built migration operating system
Unlike general-purpose coding assistants, the Snowflake AIM migration agent is purpose-built for migration execution.
The agent understands migration stages, tracks project state, analyzes dependencies, builds deployment waves, coordinates testing cycles, and manages movement of data, code, pipelines and analytics assets through a structured workflow.
As teams resolve issues, they can transform successful fixes into reusable migration knowledge. Teams can apply common patterns — including data type mappings, procedural rewrites, SQL dialect conversions, ingestion transformations and reporting dependencies — across the broader migration effort.
In effect, migrations become smarter over time, enabling teams to continuously improve efficiency as projects progress.
Understand migration complexity with AI-powered assessment
Successful migrations begin with understanding the scope and complexity of the work ahead.
Snowflake AIM introduces AI-powered assessment capabilities that help organizations rapidly analyze source environments and identify migration requirements before execution begins.
Teams can gain visibility into:
- Migration scope and effort
- Object inventory and dependencies
- Code complexity and compatibility
- Modernization opportunities
- Potential risks and blockers
- Project sequencing recommendations
Rather than spending weeks manually analyzing environments, organizations can quickly establish a comprehensive migration blueprint that supports better planning, forecasting and decision-making.
Achieve confidence with end-to-end system testing
Validation remains one of the most critical and often most resource-intensive phases of any migration project.
Snowflake AIM introduces end-to-end testing capabilities designed to help teams validate migrated workloads with greater speed and confidence.
The platform helps organizations:
- Generate validation strategies
- Create automated test cases
- Compare sources and target system behavior
- Identify discrepancies
- Accelerate remediation workflows
- Track validation progress across migration waves
By embedding testing directly into the migration process, teams can reduce risk while improving confidence in production readiness.
Trusted data migration with built-in validation
Data migration success depends on trust.
Snowflake AIM includes built-in validation capabilities that help organizations ensure migrated data remains accurate, complete and consistent throughout the migration lifecycle.
Organizations can continuously validate:
- Data completeness
- Data quality
- Row-level accuracy
- Schema consistency
- Business-critical outcomes
By integrating validation directly into migration workflows, teams can quickly identify and resolve issues before they impact downstream users, applications or analytics processes.
The future of migration to Snowflake
The Snowflake AIM migration agent represents a new operating model for enterprise migrations.
While migration applications and command-line tooling remain available for specialized workflows and advanced operational control, the migration agent is now the strategic and recommended approach for organizations modernizing to Snowflake.
This is particularly valuable for large-scale migration initiatives involving thousands of database objects, complex procedural logic, ingestion frameworks and downstream analytics dependencies. The agent provides the structure, automation, transparency and repeatability needed to execute migrations successfully at enterprise scale.
Rather than managing migrations through separate tools and manual coordination, teams can operate through a persistent workflow that captures decisions, reuses successful patterns and continuously validates progress from discovery through production deployment.
Get started
Snowflake AIM represents the next evolution of enterprise migration and modernization — bringing assessment, migration, testing, validation, orchestration and AI-powered guidance together into a single platform.
Whether you're planning your first migration to Snowflake or accelerating a large-scale modernization initiative, Snowflake AIM helps organizations move faster, reduce risk and realize value sooner.
The future of migration is intelligent, guided and end-to-end — and it's available today with Snowflake AIM.
Learn more about using Snowflake AIM for Modernization
Learn more about using Snowflake AIM for Virtualization
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