Databricks' KARL agent uses reinforcement learning to generalize across six enterprise search behaviors — the problem that breaks most RAG pipelines.

In 2026, the competitive edge isn't where your data sits, but how fast it moves. We compare how the top five platforms are ...

The new SQL Analytics software provides a more effective, more cost-efficient alternative to complex data warehouse systems, according to the big data company. Fast-growing big data company Databricks ...

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 ...

Databricks Lakehouse Platform combines cost-effective data storage with machine learning and data analytics, and it's available on AWS, Azure, and GCP. Could it be an affordable alternative for your ...

The recent Databricks Data+AI Summit attracted a large audience and, like Snowflake Summit, featured a strong focus on large language models, unification and bringing AI to the data. While customers ...

Databricks, the data and AI company, announced the launch of SQL Analytics, which for the first time enables data analysts to perform workloads previously meant only for a data warehouse on a data ...

BOSTON--(BUSINESS WIRE)--AtScale, a leader in semantic layer technology, today announced its groundbreaking integration with Databricks Genie, bringing powerful natural language querying to the ...

REDWOOD CITY, Calif.--(BUSINESS WIRE)--Informatica (NYSE: INFA), a leader in enterprise AI-powered cloud data management, today announced the latest advances in its continuing partnership with ...

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 ...