Data warehouses alone don’t cut it. Data lakes alone don’t cut it either. So whether you call it data lakehouse or by any other name, you need the best of two worlds, says Databricks. A new query engine and a visualization layer are the next pieces in Databricks’ puzzle.

Databricks announced today two significant additions to its Unified Data Analytics Platform: Delta Engine, a high-performance query engine on cloud data lakes, and Redash, an open-source dashboarding and visualization service for data scientists and analysts to do data exploration.

The announcements are important in their own right since they bring significant capabilities to Databricks’ platform, which is already seeing good traction. However, we feel it’s important to put them in the context in the greater scheme of things.

ZDNet connected with Databricks CEO and co-founder Ali Ghodsi to discuss the Data Lakehouse vision and reality, and where do Delta Engine and Redash fit in. To listen to the discussion, check the Orchestrate All the Things podcast.

Databricks was founded in 2013 by the original creators of Apache Spark to commercialize the project. Spark is one of the most important open-source frameworks for data science, analytics, and AI, and Databricks has grown in importance over the years as well.

Read the full article on ZDNet