Databricks

The spatial data processing and analytics business is critical to the geospatial workload at Databricks. Many teams rely on external libraries or Spark extensions like Apache Sedona, GeoPandas, Databricks Lab …

Data collaboration is the backbone of modern AI innovation, especially when organizations collaborate with external partners to unlock new insights. However, data privacy and intellectual property protection remain major challenges …

Since we announced the public preview of Lakebase over the summer, thousands of Databricks customers have been building data intelligent applications on top of Lakebase, using it to power application …

Traditional data warehouses are slow, expensive, and locked behind proprietary systems. They demand constant tuning and create friction for analytics teams that need speed and scale, and slow down decisions …

We are excited to announce the winners of the inaugural Databricks Free Edition Hackathon. This hackathon attracted data and AI practitioners from over 16 countries, showcasing innovation in AI, data …

OpenAI GPT-5.2 is now available on Databricks, giving teams day one access to OpenAI’s latest models inside the Databricks Data Intelligence Platform. This release also adds native support for the …

To understand the foundation of Model Context Protocol (MCP) and Agent Bricks, check out the official launch post: Accelerate AI development with Databricks: Discover, govern, and build with MCP and …

The integration of Databricks capabilities with geospatial technology marks a significant advancement in the field of geocomputing. By effectively addressing the challenges associated with real-time geospatial data analysis and leveraging …

We are pleased to announce that Databricks has received a record number of honors in the 2025 AWS Partner of the Year Awards, recognizing the strength of our collaboration with …