Learn what real-time data analytics means, which use cases need it, and how a lakehouse approach delivers faster decision-making without complexity.

Lower cost, predictable at scale. Databricks separates storage and compute on cloud object storage, with serverless scaling ...

Until now, access to the Databricks platform was primarily limited to engineers and data scientists with SQL or Python skills. Databricks One introduces a completely redesigned interface, simplified ...

Since its launch in 2013, Databricks has relied on its ecosystem of partners, such as Fivetran, Rudderstack, and dbt, to provide tools for data preparation and loading. But now, at its annual Data + ...

Databricks’ annual summit has always been a party for data ecosystem stakeholders. The company shares new technologies, partnerships and developments that make working with data assets – whether ...

For data engineers looking to leverage Apache Spark™'s immense growth to build faster and more reliable data pipelines, Databricks is happy to provide The Data Engineer's Guide to Apache Spark. This ...

Founders: Ali Ghodsi (CEO), Matei Zaharia, Reynold Xin, Ion Stoica, Patrick Wendell, Andy Konwinski, Arsalan Tavakoli-Shiraji Launched: 2013 Headquarters: San Francisco Funding: $20 billion Valuation: ...

Banks building AI agents on Databricks can now point them at ActiveViam's risk engine rather than have a language model ...