Azure Synapse: Best for unified data analytics across big data systems and data warehouses. Databricks: Best for use cases such as streaming, machine learning, and data science-based analytics.

Locking down AI pipelines in Azure? A zero-trust, metadata-driven setup makes it secure, scalable and actually team-friendly.

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

The Azure Databricks service is supposed to give them an easier experience of running big data jobs than rolling their own Spark deployment, and offers a deeper level of compatibility with ...

Azure Databricks, a Microsoft first-party service since 2018, is a trusted platform that provides thousands of joint customers with cutting-edge data and AI capabilities on a secure and trusted ...

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 ...

Ignite 2019: Microsoft has revved its Azure SQL Data Warehouse, re-branding it Synapse Analytics, and integrating Apache Spark, Azure Data Lake Storage and Azure Data Factory, with a unified Web ...

Databricks is a San Francisco-based startup founded by the team that developed the popular open-source Apache Spark data-processing framework at the University of California-Berkeley.

Azure Databricks, which is delivered in partnership with Databricks, introduced the Photon-powered Delta Engine September 22.