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 ...

AI thrives on data but feeding it the right data is harder than it seems. As enterprises scale their AI initiatives, they face the challenge of managing diverse data pipelines, ensuring proximity to ...

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more The heated competition between enterprise ...

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 ...

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 ...

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 ...

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 ...

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 ...

Snowflake spent $800 million on acquiring a machine-learning platform with little revenue, Streamlit. As rival Databricks quickly encroaches, Snowflake might need to look at other acquisitions to grow ...

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 ...