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

Databricks stands out as a widely embraced platform dedicated to the creation of data lakes. Within its framework, it extends support to a specialized version of Structured Query Language (SQL) known ...

Databricks today launched what it calls its Lakehouse Federation feature at its Data + AI Summit.Using this new capability, enterprises can bring together their various siloed data systems and ...

Currently, if I provide column comments or NOT NULL constraints for 100 columns in a model, dbt-databricks adapter ends up running 200 separate queries resulting in significantly long total model run ...

Fivetran Extends Integration With Databricks, Accelerating SQL Analytics, Data Science and Machine-Learning Applications November 12, 2020 06:00 AM Eastern Standard Time ...

On the R5d cluster, we used VMs that enabled a vectorized query engine called Photon designed to improve SQL query performance. At the time of this testing, Databricks’ Photon engine is not ...

Databricks is a cloud-based big-data processing platform built on Spark, with standard libraries such as Spark SQL and MLlib, and a multi-user graphical interface.

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.