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
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
Customers who have successfully migrated to Databricks
Leverage Brickbuilder Solutions from leading consulting partners — built for migrating to the Databricks Lakehouse
Streamline data migration to the Databricks Lakehouse PlatformStarten
Quicker migration from on-premises at lower costStarten
Auto-transform ETL, data warehouse, analytics and Hadoop workloads to DatabricksStarten
Accelerate SAS migration to the Databricks Lakehouse Platform with improved qualityStarten
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 lakesJETZT HERUNTERLADEN
Migration doesn’t have to be a headache. Contact us today to talk about what it could look like for you.