The Apache Spark community last week announced Spark 3.2, a significant new release of the distributed computing framework. Among the more exciting features are deeper support for the Python data ...

Databricks SQL is also getting its own command line interface (CLI), too, and will now sport a query federation feature, allowing it to join tables/data sets between different sources in the same ...

In a demo, Ghodsi showed me what the new SQL Analytics workspace looks like. It’s essentially a stripped-down version of the standard code-heavy experience with which Databricks users are familiar.

Databricks said Lakebridge can cut project timelines in half while supporting migrations from more than 10 popular systems, including Teradata Inc., Snowflake Inc., Microsoft Corp. SQL Server and ...

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 ...

Databricks also has plans to scale BladeBridge expertise to other system integrators, it said, adding that it sees the acquisition contributing to its goal of reaching a $3 billion revenue run ...

In its most recent fiscal year, the 12-month period ending January 31, 2024, Databricks generated more than $1.6 billion worth of revenue, powered in part by the company’s Databricks SQL product ...

Databricks says that this work, which was based on TPC-DS benchmarks but not TPC-audited, shows Databricks SQL to be 2.7x faster (see the figure below from a Databricks blog post on the subject).

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