Databricks Unified Analytics Platform

Accelerate innovation by unifying data science, engineering and business, with the Databricks Unified Analytics Platform, from the original creators of Apache Spark™.

Databricks Workspace

Unify data science and engineering

Handle all analytic processes — from ETL to models training and deployment — leveraging familiar tools, languages, and skills, via interactive notebooks or APIs.

  • SHARED NOTEBOOKS

    Confidently share your code via notebooks with revision history and GitHub integration.

  • PRODUCTION JOBS

    Automate complex data pipelines with simplified jobs scheduling, monitoring, and debugging.

  • ECOSYSTEM INTEGRATION

    Connect to your favorite tools and use what you already know thanks to an open and extensible platform.

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“Working in Databricks is like getting a seat in first class. It's just the way flying (or more data science-ing) should be.”


- Mary Clair Thompson, Data Scientist, Overstock.com

Databricks Runtime

Unify data and ML at massive scale

Quickly prepare clean data at massive scale, and continuously train and deploy state-of-the-art ML models for best-in-class AI applications.

  • DATA RELIABILITY

    Unify batch and real-time with Delta tables making data ready for ML at massive scale.

  • UNMATCHED PERFORMANCE

    Benefit from built-in Delta optimization and get reliable results 10-100x faster than open source Apache Spark™.

  • BUILT-IN ML FRAMEWORKS

    Get started fast with pre-configured clusters including some of the most popular ML frameworks.

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“Agility and flexibility were critical for us to successfully support our data science and engineering goals. Moving to Databricks Unified Analytics Platform to run 100% of our workflows has been a huge boost for our business and our customers.”


- Matt Fryer VP, Chief Data Science Officer, Hotels.com

Databricks Cloud Service

Reduce infrastructure complexity

Reap the benefits of a fully managed service and reduce infrastructure complexity to focus more on innovation, while keeping data safe and secure.

  • SIMPLIFIED DEVOPS

    Abstract the complexity of data infrastructure and DevOps, with auto-config and auto-scaling.

  • RELIABLE AND PERFORMANT

    Confidently run business-critical applications with 99.99% SLA and optimized Apache Spark™ clusters.

  • SECURE AND COMPLIANT

    Benefit from enterprise-grade 
security and compliance with a HIPAA and SOC 2 type 2 certified platform.

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“Databricks takes the pain of cluster management away so we can focus on data science and not DevOps.”


- Brent Schneeman, Principal Data Scientist, HomeAway