Reduce costs, innovate faster and simplify your data platform by migrating to the Databricks Lakehouse from your enterprise data warehouse or legacy data lake. Now you can run all your data, analytics and AI workloads on a modern unified platform, built on open standards and secured with a common governance approach.
Why migrate to Databricks?
Simplify your data platform
Scale cost-effectively
Accelerate innovation
Migrate with confidence
We’ve helped hundreds of customers migrate from legacy data platforms. Using a phased end-to-end migration process provides a predictable model to understand costs both during and post-migration. And a lakehouse-first approach for migrating all workloads ensures support for existing as well as new use cases. The result is lower risk, faster value realization and increased ROI.
The 5 phases of data migration
Phase 1:
Discovery
Phase 2:
Assessment
Phase 3:
Strategy
Phase 4:
Production Pilot
Phase 5:
Execution
Customers who have successfully migrated to Databricks
Brickbuilder Solutions
Leverage Brickbuilder Solutions from leading consulting partners — built for migrating to the Databricks Lakehouse
The Wisdom of Transitioning to a Data Lakehouse Strategy
How a data lakehouse approach can help you overcome the common limitations of data warehouses and data lakes
Download nowResources
eBooks
Get started
Migration doesn’t have to be a headache. Contact us today to talk about what it could look like for you.

