The company disclosed today that its AI products’ annualized recurring revenue has increased from $1 billion in early December to $1.4 billion. Databricks’ overall run rate stands at $5.4 billion, a ...

Databricks is prepared to go public "when the time is right," CEO and co-founder Ali Ghodsi told CNBC in an interview.

Databricks claims AI agents have quietly taken over enterprise database creation, pushing its Lakebase product to the center ...

The Lakebase service has been in development since June 2025 and is based on technology Databricks gained via its acquisition ...

Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice ...

The IPO window may have cracked open, but it seems some former startups have no intention of going public. Makes sense, in a way: IPOs were traditionally a way to raise money, and if you can manage to ...

Abstract: In the single-type relational database scenario, using SQL statement optimization rules can effectively shorten the statement execution time. In the distributed database scenario, the ...

I am a Backend Developer and Software Engineer with a solid background in Artificial Intelligence in academic and professional fields, looking forwa ...

Abstract: Generating accurate SQL from users’ natural language questions (text-to-SQL) remains a long-standing challenge due to the complexities involved in user question understanding, database ...

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 guide provides instructions on how to set up and use Databricks with DBeaver. Before you can start managing your database, it's essential to establish a connection in DBeaver. This involves ...