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

Thursday Databricks launched SQL Analytics, the company’s new software for running SQL analytic workloads directly on huge stores of unorganized, often unstructured data known as data lakes.

Data and AI company Databricks has launched SQL Analytics, which allows workloads that would normally need a data warehouse to run on a data lake. SQL Analytics thus implements Databricks' vision ...

SQL Analytics realizes Databricks' vision for a lakehouse architecture that combines data warehousing performance with data lake economics, resulting in up to 9x better price/performance than ...

PHILADELPHIA, Nov. 12, 2020 (GLOBE NEWSWIRE) -- Qlik® today announced an expansion of its strategic partnership with Databricks through Qlik’s integration with the newly launched SQL Analytics ...

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

SQL Analytics will be available in public preview on November 18. In many ways, SQL Analytics is the product Databricks has long been looking to build and that brings its concept of a "lake house ...

SQL Analytics will be available in public preview on November 18. In many ways, SQL Analytics is the product Databricks has long been looking to build and that brings its concept of a "lake house ...

SQL Analytics realizes Databricks' vision for a lakehouse architecture that combines data warehousing performance with data lake economics, resulting in up to 9x better price/performance than ...

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. SQL ...

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.