Data science, machine learning and AI technologies extract useful information from your data sources, empowering decision-makers with speed and insight. Streamline your end-to-end data science workflow—from data prep to modeling to sharing insights—with a collaborative, unified data science environment built on an open lakehouse foundation.

• Get quick access to clean and reliable data, preconfigured clusters and multi-language support for maximum flexibility for data science teams
  
  
• Collaboratively write code in Python, R, Scala and SQL, explore data with interactive visualizations and discover new insights with Databricks notebooks
  
  
• Confidently and securely share code with co-authoring, commenting, automatic versioning, Git integrations, and role-based access controls.
  
  
• Quickly connect notebooks to auto-managed clusters to scale analytics workloads as needed
  
  
• Use your local IDE of choice with scalable compute and limitless data storage (or use RStudio or JupyterLab directly from within Databricks for a seamless experience)
  
  
• Clean and catalog all your data—batch, streaming, structured or unstructured—and make it discoverable to your entire organization via a centralized data store
  
  
• Ensure data quality and data versioning meets expectations and compliance
  
  
• Easily discover, run interactive queries, and share actionable insights in dynamic dashboards
  
  
• Share cells, visualizations and notebooks with role-based access control or export to multiple formats (HTML and IPython Notebook)