Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for ...

Microsoft and Databricks have actually worked on this integration since 2016, and this is making Databricks a first-party service on Azure.

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

“With SQL Analytics, data analysts can easily deploy Qlik’s complete data integration and analytics portfolio alongside Databricks’ Lakehouse architecture for an optimized BI experience on ...

SQL Analytics thus implements Databricks' vision of a 'lakehouse' architecture combining data warehousing performance with data lake economics.

Databricks SQL is a key component in the company’s ambition to construct a data lakehouse architecture that blends the best of data lakes, which are based on object storage systems, and traditional ...

New tools to help increase developer productivity and simplify app development for intelligent cloud and edge, across devices, platforms or data sources NEW YORK — Nov. 15, 2017 — Wednesday at Connect ...

Scott Guthrie, Microsoft EVP of Cloud & Enterprise. Microsoft Azure customers interested in parsing large amounts of data to improve their businesses will soon be able to use Azure Databricks ...

According to a recent IDG survey, more than half of enterprises (56%) plan to use data lakes in the future. Databricks is a leader of the modern lakehouse architecture, combining data warehousing ...