Legacy data warehouses are costly to maintain, unscalable and cannot deliver on data science, ML and real-time analytics use cases. Migrating from your enterprise data warehouse to Databricks lets you scale as your business needs grow and accelerate innovation by running all your data, analytics and AI workloads on a single unified data platform.
The case for modernizing your enterprise data warehouse
Enterprise data warehouses have traditionally supported only historical reporting — with no support for forward-looking prescriptive and predictive analytics. They also cannot handle semi-structured, unstructured or real-time data and are not set up for advanced analytics use cases that data science teams need to drive ML and AI–powered innovations. If that wasn’t enough, EDWs store data in closed proprietary formats, impose rigid vendor lock-ins and are prohibitively expensive to scale.
Read this TDWI report on how you can overcome these challenges by transitioning from a data warehouse to a data lakehouse.
Why migrate your data warehouse to the Databricks Lakehouse?
Simplify your data platform
Scale cost-effectively
Accelerate innovation
Migrate with confidence
Technical guidance for data migration, ETL and code migration, and BI reporting
Pull data into Databricks from various database sources
Push data out from EDWs to cloud storage and use Databricks AutoLoader
Use our ingestion partners such as Fivetran, Qlik Replicate and Arcion from Databricks Partner Connect
Leverage Delta Live Tables and Databricks notebooks which can be orchestrated via Databricks Workflows
Speed up your legacy ETL and stored procedure migration by using automated code conversion accelerators from ISV partners like BladeBridge, LeapLogic or certified migration SI partners
Use our ETL partners such as Prophecy, Matillion and dbt Labs from Databricks Partner Connect
Connect your BI tool to Databricks via JDBC/ODBC
Get up to 10x speedup in reporting with our Cloud Fetch Technology
Use our BI, reporting and OLAP Cube partners such as Power BI, Tableau, Looker and AtScale from Databricks Partner Connect
Ready to take your first step?
Contact DatabricksBrickbuilder Solutions
Leverage Brickbuilder Solutions from leading consulting partners — built for migrating your data warehouse to the Databricks Lakehouse
Customers who have successfully migrated their data warehouse to Databricks
Migrating from Hadoop?
Learn moreResources
eBooks
Events
- Modernize Your Data Warehouse
- How to Automate the Modernization and Migration of Your Data Warehousing Workloads to Databricks Lakehouse
- Data Transformation in the Lakehouse Made Simple With Fivetran and Databricks
- Tableau Unleashed With a Data Lakehouse
- LeapLogic — A Cloud Accelerator for Transformation of Legacy Analytics, ETL, DW and Hadoop
Blogs
- Data Warehousing Modeling Techniques and Their Implementation on the Databricks Lakehouse Platform
- Prescriptive Guidance for Implementing a Data Vault Model on the Databricks Lakehouse Platform
- Five Simple Steps for Implementing a Star Schema in Databricks With Delta Lake
- Dimensional Modeling Best Practices and Implementation on a Modern Lakehouse
Get started
Migration doesn’t have to be a headache. Contact us today to talk about what it could look like for you.

