Unified Data Analytics Platform

One cloud platform for massive scale data engineering and collaborative data science

Data Science Workspace

Collaboration across the full data and machine learning lifecycle

Collaborative Notebooks

Quickly access and explore data, find and share new insights, and build models collaboratively, with languages and tools of choice. Learn more about Notebooks.

Optimized ML Environments

One click access to preconfigured ML environments for augmented machine learning with state of the art and popular ML frameworks.
Learn more about ML Runtime.

Complete ML Lifecycle

Track and share experiments, reproduce runs, and manage models collaboratively from a central repository, from experimentation to production. Learn more about MLflow.

Unified Data Service

High quality data with great performance

Reliable Data Lakes

Delta Lake brings data reliability and scalability to your existing data lake, with an open source transactional storage layer designed for the full data lifecycle. Learn more about Delta Lake.

Fast & Efficient Data Pipelines

Simple data processing on auto-scaling infrastructure. Powered by highly optimized Apache Spark™ for up to 50x performance gains. Learn more about Apache Spark.

Broader Business Insights

Leverage your entire data lake, including streaming data, for the most complete BI reporting and visualizations.

Enterprise Cloud Service

A simple, scalable, and secure managed service

Enterprise Security

Effortless native security protects your data where it lives and creates compliant, private and isolated analytics workspaces across thousands of users and datasets. Learn more about Enterprise Security.

Simple Administration

Audit and analyze all the activity in your account and set policies to administer users, control budget, and manage infrastructure for hassle-free enterprise-wide administration. Learn more about Simple Administration.

Production Ready

Run and scale your most mission-critical data workloads with confidence on a managed multi-cloud data platform, with ecosystem integrations for CI/CD and monitoring. Learn more about Production Ready Platform.

Business Analytics

More complete and recent data to drive insights for every team

Customer Success Story

Comcast’s Journey to Building an Agile Data and AI Platform at Scale

In this talk, Jim Forsythe and Jan Neumann describe Comcast’s data and machine learning infrastructure built on Databricks Unified Data Analytics Platform. Comcast uses Databricks to train and fuel the machine learning models at the heart of these products and gain deeper insights into how its users use these products.

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