Streamline the end-to-end data science workflow — from data prep to modeling to sharing insights — with a collaborative and unified data science environment built on an open lakehouse foundation. Get quick access to clean and reliable data, preconfigured compute resources, multi-language support, and built-in advanced visualization tools for maximum flexibility for data analytics teams.
Collaboration across the entire data science workflow
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 coauthoring, commenting, automatic versioning, Git integrations, and role-based access controls.
Focus on the data science, not the infrastructure
You don’t have to be limited by how much data fits on your laptop anymore or how much compute is available to you. Quickly migrate your local environment to the cloud and connect notebooks to your own personal compute and auto-managed clusters.
Use your favorite local IDE with scalable compute
The choice of an IDE is very personal and affects productivity significantly. Connect your favorite IDE to Databricks, so that you can still benefit from limitless data storage and compute. Or simply use RStudio or JupyterLab directly from within Databricks for a seamless experience.
Get data ready for data science
Clean and catalog all your data — batch, streaming, structured or unstructured — in one place with Delta Lake and make it discoverable to your entire organization via a centralized data store. As data comes in, automatic quality checks ensure data meets expectations and is ready for analytics. As data evolves with new data and further transformations, data versioning ensures you can meet compliance needs.
Low-code, visual tools for data exploration
Use visual tools natively from within Databricks notebooks to prepare, transform and analyze your data, enabling teams across expertise levels to work with data. Once done with your data transformations and visualizations, you can generate the code that’s running in the background — saving you time from writing boilerplate code so you can spend more time on high-value work.
Discover and share new insights
Easily share and export results by quickly turning your analysis into a dynamic dashboard. The dashboards are always up to date and can also run interactive queries. Cells, visualizations or notebooks can be shared with role-based access control and exported in multiple formats, including HTML and IPython Notebook.
Migrate to Databricks
Tired of the data silos, slow performance and high costs associated with legacy systems like Hadoop and enterprise data warehouses? Migrate to the Databricks Lakehouse: the modern platform for all your data, analytics and AI use cases.
Customer Story
Find out how Shell is saving millions of dollars per year by leveraging data science to improve operational efficiencies.
Customer Story
FINRA moved from large, complex SQL code to more effective Python-based data science.
Customer Story
Learn how H&M group reduced operational costs by 70% with Databricks.
Resources
All the resources you need. All in one place.
Reports and eBooks
- The Big Book of Data Science
- The Art of Collaborative Data Science at Scale
- Modern Cloud Data Platform
- MLflow – An open source machine learning platform
- Explore the new Delta Sharing solution
- Databricks named a Leader in 2021 Gartner® Magic Quadrant™ in both DBMS and DSML
- Migration Guide: Hadoop to Databricks
