In the ongoing debate about where companies ought to store data they want to analyze – in a data warehouses or in data lake — Databricks today unveiled a third way. With SQL Analytics, Databricks is ...

The data warehouse was typically used to store historical data, most often using a star schema or at least a large set of indexes to support queries.

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.

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 component, Databricks Assistant, allows users to query data using natural-language prompts. The software automatically turns those prompts into SQL queries or Python code.

Databricks launches Lakehouse Federation to enhance cross-platform data query and governance in enterprise data infrastructure.

Together, Databricks and BladeBridge will help organizations streamline the code assessment and conversion process vital to data warehouse migrations to Databricks SQL from Snowflake, Teradata and ...

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 ...