SAN FRANCISCO, Nov. 12, 2020 /CNW/ -- Databricks, the data and AI company, today announced the launch of SQL Analytics, which for the first time enables data analysts to perform workloads ...

Databricks wants to increase its revenue by offering its customers lower costs and lower risks in the process of migrating their legacy data warehouses to its own proprietary platform.

Native integration with Databricks SQL warehouse for high-performance SQL queries with Spice.ai acceleration. Unified query across Databricks, on-premises, and edge data sources.

Databricks said Lakebridge can cut project timelines in half while supporting migrations from more than 10 popular systems, including Teradata Inc., Snowflake Inc., Microsoft Corp. SQL Server and ...

Databricks says the offering’s revenue run rate is up more than 150% from a year ago, to $600 million. Databricks SQL is one of several products the company has built atop its core data ...

Databricks says that by the end of its fiscal fourth quarter, it will be on a $3 billion revenue run rate, with a $600 million revenue run rate for Databricks SQL, up 150% for the year.

Databricks last raised funding in a $500 million Series I round in September 2023 which at the time put the company’s market value at $43 billion. The new round of $10 billion in expected non ...

Analytics and AI giant Databricks reportedly paid nearly $2 billion when it acquired Tabular in June, a startup that was only doing $1 million in annual recurring revenue, according to Bloomberg.