Short answerLakeBridge is Databricks’ free, AI-assisted migration tool for profiling legacy systems, converting SQL and reconciling results. A successful migration still depends on planning, testing and table-by-table reconciliation before users switch. Expect the tool to speed up conversion, not replace testing: plan for engineer review and business sign-off on every critical report.
Key takeaways
- Inventory workloads before converting anything.
- Convert with LakeBridge, then review and test.
- Reconcile results before cut-over.
Many organizations want to leave an ageing data warehouse. The cost is high, performance is slow, and it is hard to add AI. The risk is the migration itself.
What LakeBridge does
LakeBridge is a free, AI-assisted tool from Databricks for migrating data warehouses. This year it received improved SQL conversion. It speeds up the most repetitive part of a migration: rewriting code.
Our five-step playbook
- Inventory. List every table, job, report and user. Find what is unused and leave it behind.
- Convert. Use LakeBridge to convert SQL and ETL logic, then review the output by hand.
- Rebuild pipelines. Move ingestion to Lakeflow and organize data into bronze, silver and gold layers.
- Reconcile. Compare results table by table and report by report until numbers match.
- Switch over. Move users in waves, with the old system read-only for a short overlap.
What decides the timeline
Tooling makes conversion faster. Reconciliation and sign-off decide when you can switch off the old system. We plan for both from the first week, and we agree what "matching" means with finance and business owners up front.
About the author
NeuralShore Engineering, Databricks delivery team
Databricks architects, data engineers and AI engineers at NeuralShore, DLytica’s Databricks delivery company. Leadership comes from IBM data and AI architecture.