
Databricks: Leading Data and AI Platform for Enterprises
Databricks is a unified data and AI platform that runs both analytical and operational workloads on one open, governed foundation.
Databricks - Wikipedia
Databricks, Inc. is an American software company based in San Francisco. [4] It was founded in 2013 by the original creators of Apache Spark. [1][5] It offers a cloud-based platform for data analytics and …
What is Azure Databricks? - Azure Databricks | Microsoft Learn
May 15, 2026 · Azure Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale.
What is - Databricks on AWS
May 15, 2026 · Databricks combines the power of Apache Spark with Delta and custom tools to provide an unrivaled ETL experience. Use SQL, Python, and Scala to compose ETL logic and orchestrate …
About Databricks: The data and AI company
Headquartered in San Francisco, with offices around the world, Databricks is on a mission to simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.
Azure Databricks | Microsoft Azure
Explore Azure Databricks, a managed service for open data lakehouses. Power your data analytics and AI strategy with an intelligent data platform on Azure.
Sign up for Databricks Free Edition - Databricks
Start your journey with Databricks by signing up for Free Edition or Express edition. Unlock the power of unified data analytics and AI, gain up to $400 in credits, and build a strong data foundation with …
Databricks brings GPT‑5.5 to enterprise agent workflows
May 15, 2026 · Databricks uses GPT-5.5 for enterprise agent workflows after the model set a new state of the art on the OfficeQA Pro benchmark.
Azure Databricks documentation | Microsoft Learn
Learn Azure Databricks, a unified analytics platform for data analysts, data engineers, data scientists, and machine learning engineers.
Databricks documentation
SAP Databricks This documentation site provides how-to guidance for data analysts, data scientists, and data engineers solving problems in analytics and AI.