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

Azure Synapse uses a massively parallel processing architecture ideal for enterprise data warehousing, while Databricks leverages Spark’s in-memory processing for real-time analytics and AI ...

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 ...

With this cooperation, Databricks users don’t just get easy access to their analytics platform on Azure, but also deep integrations with all of the other Azure services that allow for building a ...

Databricks: Best for big data processing and analytics; Azure ML vs Databricks at a Glance. The following table shows, at a high level, ... such as AI Search and Azure SQL Database.

Databricks, provider of a Unified Analytics Platform and founded by the team who created Apache Spark, has become a partner with Microsoft to expand the reach of its Unified Analytics Platform and ...

NEW YORK, Nov. 15, 2017 /PRNewswire/ -- Wednesday at Connect(); 2017, Microsoft Corp.'s annual event for professional developers, Executive Vice P ...

New Delhi [India], Mar 23 (ANI): Microsoft has announced the availability for Azure Databricks, a fast, easy, and collaborative Apache® Spark™-based analytics platform optimized for Azure. The ...

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