Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with ...

Microsoft’s new Azure database savings plans promise more flexible, cross-service cost reductions than traditional reservations, giving IT teams another lever to manage rising cloud database spend ...

Explore the best data analytics tools for enterprises in 2026 that harness AI and advanced analytics to improve data-driven decision-making. Uncover key features, pricing, and ideal use cases to boost ...

New integration extends enterprise-grade data masking and manipulation to modern lakehouse environments FieldShield can ...

Clients across industries, such as Albertsons, BASF, and Kyowa Kirin International are working with Accenture and Databricks to build agent-ready databases and AI applications on their enterprise data ...

“Temenos Core is powered by Azure SQL Database Hyperscale, which supports database sizes of up to 128 terabytes. Our customers get the processing speed and architectural flexibility to future-proof ...

Several widely used tools in Databricks Inc.'s Lakehouse platform infringe two patents covering predictive-model databases, search functions, and access controls, a federal lawsuit said. Databricks is ...

Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now ...

Microsoft is moving another core database management component into the cloud, continuing its broader shift away from traditional on-premises infrastructure. According to Neowin, the company has ...

Fix for the Pandas to_sql() dataframe method that fails when we try pushing more than 255 values to a Databricks table. I also changed the way the source dataframe gets broken up into chunks, since I ...

Prebuilt versions of the Go-based ADBC driver are available from the Columnar driver registry. These can be installed using dbc: ...