With its new Snowpark Connector, Snowflake promises Spark users the same ability to run Spark code in a Spark client, but ...

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 ...

And for Databricks, features such as its notebooks and the Photon engine powering Databricks SQL are strictly proprietary. As if there’s anything wrong with that. Now the hand-to-hand combat ...

The Databricks SQL service, which was first unveiled in November 2020, brings the ANSI SQL standard to bear on data that’s stored in data lakes. The offering allows customers to bring their favorite ...

Fivetran’s support for SQL Analytics will enable data analysts and BI users to build end-to-end data pipelines on their lakehouse architecture in Databricks.

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

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.

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.

The company also released Databricks SQL Serverless (on AWS) to offer a completely managed service to maintain, configure and scale cloud infrastructure on the lakehouse.

The Databricks SQL Editor is closely linked to the Data Explorer. In this next screen, we load and run a SELECT query against six of the tables in the tpch database.