Databricks' benchmark suggests enterprise AI buyers are moving beyond public leaderboards, prioritizing real-world ...

This is a performance testing framework for Spark SQL in Apache Spark 2.2+. The framework contains twelve benchmarks that can be executed in local mode. They are organized into three classes and ...

Press ReleaseNokia, Databricks demonstrate unified data platform for autonomous networks Proof of concept validates cloud-agnostic approach for ...

ZoomInfo's verified company, contact, and signal data now flows natively into the Databricks lakehouse through GTM.AI, so every model, score, ...

LakeFusion MDM is now available as a Databricks App, letting customers install and deploy governed master data ...

New agentic data access capabilities and compliance tooling will enable joint customers to safely deploy autonomous AI agents across Databricks without exposing sensitive data or overwhelming IT teams ...

Artificial intelligence is changing how organisations use data. Tasks that once required complex queries and manual analysis can now be done in minutes with modern analytics platforms. Because of this ...

Traditional RAG systems struggle bridging structured SQL databases and unstructured document collections (a challenge we call the modality gap), leading to incomplete reasoning and hallucinations.

In 2026, business intelligence(BI) has become a critical capability for enterprises that want to compete in data-driven markets. Organisations are no longer struggling to collect data; they are ...

For decades the data landscape was relatively static. Relational databases (hello, Oracle!) were the default and dominated, organizing information into familiar columns and rows. That stability eroded ...

The Databricks SQL Connector for Python allows you to develop Python applications that connect to Databricks clusters and SQL warehouses. It is a Thrift-based client with no dependencies on ODBC or ...