Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

Big data vendor Databricks unveiled SQL Analytics for running SQL queries on data lake systems as an alternative to data warehouses.

With SQL Analytics, Databricks empowers data analysts to perform workloads on a data lake that were previously only addressable with a data warehouse.

Databricks SQL is a key component in the company’s ambition to construct a data lakehouse architecture that blends the best of data lakes, which are based on object storage systems, and traditional ...

Optimized for organizations running Databricks SQL, Databricks' serverless intelligent data warehouse, Prophecy 4.0 is the first data integration platform to address the needs of analysts in the ...

One interesting thing about Databricks SQL is that it supports different cluster types than are made available for other Databricks workloads.

Databricks, the champion of data lakehouse technology and its open storage format underpinnings, announced it set a world record for a data warehouse performance benchmark.

Building on their extensive partnership, Informatica and Databricks are helping customers create and manage AI-ready data and Generative AI analytics on the Databricks Data Intelligence Platform.

Databricks and Snowflake came from data lake and data warehousing worlds, respectively, and are now battling in the lakehouse.

AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes ...