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 ...

Cloud data platforms like Snowflake, Databricks, Azure Synapse Analytics, ... allowing them to read data with full awareness of business logic, table relationships and role-based access controls.

Shiv Trisal, Databricks’ global industry leader for energy and manufacturing, said the most successful energy suppliers in future will be those that leverage data, analytics and AI to minimize ...

Databricks told investors and analysts on Wednesday that annualized revenue will hit $3.7 billion by July, with 50% year-over-year growth.

Azure Synapse Analytics is similar to Databricks in its features for consolidating, processing, and analyzing enterprise data. Like Databricks, it focuses primarily on big data analytics and data ...

Databricks has launched Data Intelligence for Marketing, combining the Data Intelligence Platform with out-of-the-box integrations with marketing solutions. Data Intelligence for Marketing can bring ...

With its new Business Data Cloud, SAP wants to help enterprises unify data held in its own systems with that in other vendors’ applications: It’s goal is to expedite advanced analytics and AI ...

Databricks said on Wednesday Meta Platforms had joined as an investor in a $10 billion funding round intended to fuel the data analytics startup's expansion plans and new product development.

-CGI, one of the largest independent IT and business consulting services firms in the world, today announced its achievement of Select partner program status from Databricks, the data and AI ...

This is the first of a two-part series. Read part 2, which looks at Databricks, MongoDB and Snowflake are making moves for the enterprise. Editor’s note: A previous version of this article ...