Data Migration Agent

The agent at the heart of MigrateAi. It discovers your legacy warehouse estate, converts SQL and ETL into cloud-native code and validates every result — with engineers authorizing each consequential change.

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Siliconex AI · Data & Analytics

Data Migration Agent

The agent at the heart of MigrateAi. It discovers your legacy warehouse estate, converts SQL and ETL into cloud-native code and validates every result — with engineers authorizing each consequential change.

Discover · Convert · Validate

• The Challenge

A converted query isn't a migration. A validated cutover is.

Legacy warehouses hold decades of business logic in stored procedures, ETL jobs and undocumented dependencies. Hand-migration is slow and hard to trust, and data defects are usually found at cutover — the most expensive time to fix them.

01

Manual conversion

SQL and ETL rewritten line by line, inconsistently, across thousands of objects.

02

Hidden dependencies

Undocumented lineage means no one knows what a change will break.

03

Late validation

Reconciliation left to the end turns cutover into a high-risk event.

• Capabilities

What the Data Migration Agent does

Purpose-built skills that work together to complete the workflow end to end.

Estate discovery

Scans metadata, code and schedulers to inventory objects and build a dependency graph.

Complexity scoring

Estimates effort and risk for every object to plan migration waves.

Code conversion

Transpiles SQL, stored procedures and ETL into Databricks- or Snowflake-native artifacts.

Optimization

Tunes converted code for the target platform's performance and cost model.

Automated reconciliation

Compares row counts, aggregates and values between source and target continuously.

Governed landing

Lands data in a medallion architecture with catalog and lineage in place.

• How It Works

From request to result in four steps

01

Discover

Inventory, lineage and effort model built.

02

Convert

Code translated and optimized for the target.

03

Validate

Data reconciled continuously, not just at the end.

04

Cut over

Engineers approve each wave with proof it is right.

• Human in the Loop

Autonomous where it's safe. Accountable everywhere.

Engineers review and approve every converted object and every cutover wave. The agent shows its diffs, test results and reconciliation evidence so approvals are fast and informed.

Built-in guardrails

  • Side-by-side diffs for every converted object
  • Reconciliation evidence attached to each wave
  • No production changes without engineer sign-off
  • Full lineage preserved in the target catalog
• Integrations

Works with the systems you already run

Secure connectors and APIs let the agent act inside your existing platforms — no rip-and-replace.

Databricks LakehouseSnowflakeUnity CatalogTeradata · Oracle · SQL Server · NetezzaInformatica · SSIS · DataStageGit & CI/CD
• Outcomes

What changes for your team

Shorter timelines

Automation handles the repetitive conversion and testing work.

Cutover confidence

Continuous validation means fewer surprises at go-live.

Lower migration cost

Engineering effort focused on design decisions, not rewrites.

See the Data Migration Agent in action

Book a demo with our team to see how the agent fits your workflows, systems and governance requirements.