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Great models are built with great data. With Databricks, lineage, quality, control and data privacy are maintained across the entire AI workflow, powering a complete set of tools to deliver any AI use case. Create, tune and deploy your own generative AI models; Automate experiment tracking and governance; Deploy and monitor models at scale
April 16, 2024. Databricks is a unified, open analytics platform for building, deploying, sharing, and maintaining enterprise-grade data, analytics, and AI solutions at scale. The Databricks Data Intelligence Platform integrates with cloud storage and security in your cloud account, and manages and deploys cloud infrastructure on your behalf.
Databricks, Inc. is a global data, analytics and artificial intelligence company founded by the original creators of Apache Spark. [3] The company provides a cloud-based platform to help enterprises build, scale, and govern data and AI, including generative AI and other machine learning models.
Dive in and explore a world of Databricks resources — at your fingertips. You’ll find training and certification, upcoming events, helpful documentation and more.
Databricks SQL is a serverless data warehouse built on lakehouse architecture that lets you run all your BI and ETL workloads at scale with up to 12x better price/performance, a unified governance model, open formats and APIs, and your tools of choice — no lock-in.
Try Databricks free. Test-drive the full Databricks platform free for 14 days on your choice of AWS, Microsoft Azure or Google Cloud. Sign-up with your work email to elevate your trial experience. Create high quality Generative AI applications.
Azure Databricks is optimized for Azure and tightly integrated with Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Power BI and other Azure services to store all your data on a simple, open lakehouse and unify all your analytics and AI workloads.
