Three main pressure points are transforming the modern data landscape: 1) Increased interest in adopting open table formats to allow any compute to operate on any data; 2) The point of control is ...

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...

Arsalan Tavakoli was at his bachelor party in 2013 when Ali Ghodsi, a computer science researcher at the University of California, Berkeley, pulled him aside. The two had become colleagues and friends ...

Databricks’ acquisition of Tabular puts new pressure on competitors such as Snowflake and Confluent as cloud data management rises in importance as a technology necessary for AI initiatives. Last week ...

As customers try to “get artificial intelligence right,” the need to rationalize siloed data becomes increasingly important. Data practitioners could put all their data eggs into a single platform ...

Snowflake and Databricks have more than their long association with the Amazon Web Services cloud in common: they have dozens of joint customers. It's the classic case of where different groups have ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More This is the first of a two-part series. Read part 2, which looks at ...

Snowflake and Databricks are surely similar companies. While each positions itself a bit differently, both provide data storage, processing and governance in a cloud context. Both are holding customer ...

DX Foundation, an enterprise data strategy and AI consultancy firm based in Austin, Texas, has announced an official ...

Databricks on Tuesday said that developers will be able to build applications on enterprise data stored in the company’s data lakehouse and list them on the Databricks Marketplace. Dubbed Lakehouse ...