Discover the top data engineering tools that will revolutionize DevOps teams in 2026. Explore cloud-native platforms designed ...

With Lakewatch, Databricks presents an open SIEM based on Lakehouse. AI agents are intended to automatically detect and ...

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 ...

Databricks and Snowflake are at it again, and the battleground is now SQL-based document parsing. In an intensifying race to dominate enterprise AI workloads with agent-driven automation, Databricks ...

This was originally posted in dbt-databricks project and I was asked to cross post i here. Related to: databricks/dbt-databricks#1246 When running dbt in an Azure Devops Agent (for continues ...

In today’s data-rich environment, business are always looking for a way to capitalize on available data for new insights and increased efficiencies. Given the escalating volumes of data and the ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and agentic AI features coming to its cloud data lakehouse platform. At Databricks ...

Continuing a deluge of announcements clustered around making it easier for enterprises to build artificial intelligence-based agents and applications, Databricks Inc. today is wrapping up its Data+AI ...

Microsoft announced on Tuesday the public preview of a native Azure Databricks Connector in Power Platform, enabling what the company said is seamless, governed access to Databricks data without data ...

Databricks launched Lakebase today, a new database designed for enterprises and developers to build data applications and artificial intelligence agents on a single multi-cloud platform. Lakebase is ...