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

The deal positions Snowflake to compete with Databricks in AI while giving OpenAI enterprise distribution beyond Microsoft’s ecosystem.

Every data engineering team right now is being asked the same question: "How do we build a chatbot that talks to our data?" The prototypes are deceptively simple. A developer connects GPT-5.1 to a ...

I’m encountering difficulties setting up Sedona 1.8 on Databricks (DBR 17.3 LTS). Is it a known compatibility issue between Sedona and Databricks DBR 17.3 LTS ? I used the following jars for spark 4.0 ...

Managing SQL Server across hybrid and multi-cloud environments has long posed a challenge for database administrators. With data sprawled across on-premises infrastructure, cloud platforms, and edge ...

As SQL development increasingly becomes part of full-stack workflows, developers are looking for ways to simplify their tooling without compromising capability. While SQL Server Management Studio ...

Hi team/ maintainers, I love the work you're doing on Data API Builder. We’ve adopted it in different areas because it gives us a unified, secure, and standards-based API layer on top of multiple data ...

Abstract: Based on the big data processing engine Spark SQL technology, this paper studies and analyzes the agricultural recommendation data set in the Kaggle data science and machine learning ...

We’re excited to announce a new migration capability in Azure Arc to simplify and accelerate SQL Server migration. This new capability, now generally available, is powered by Azure Database Migration ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and agentic AI features coming to its cloud data lakehouse platform. At Databricks ...