Cloud-based data intelligence platform, Databricks, has come a long way since its inception in 2013 as a California University of Berkley startup to becoming one of a handful of technology companies ...

Databricks, Snowflake, Amazon Redshift, Google BigQuery, and Microsoft Fabric – to see how they address rapidly evolving ...

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 ...

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 ...

PALO ALTO, Calif., March 27, 2025 /PRNewswire/ -- Analysts need clean, trusted data to fuel AI projects and inform their strategic decisions. Central data teams worry about keeping data safe and ...

Working with a certified implementation partner is a risk mitigation strategy that ensures the Lakehouse is not only deployed but also optimized for scalability, security, and cost efficiency from day ...

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 has released KARL, an RL-trained RAG agent that it says handles all six enterprise search categories at 33% lower ...

Many enterprises running PostgreSQL databases for their applications face the same expensive reality. When they need to analyze that operational data or feed it to AI models, they build ETL (Extract, ...

Databricks Inc. has snapped up a startup called BladeBridge Inc., which offers tools for migrating enterprise data warehouses. The big-data company said Wednesday it plans to integrate its technology ...