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Azure Data Bricks

Azure Data Bricks

Big Data Analytics and AI with Apache Spark

Benefit insights from all your data and build artificial intelligence (AI) solutions with Azure Databricks, set up your Apache Spark™ environment in minutes, take advantage of autoscaling, and collaborate on shared projects in an interactive workspace.

Azure Databricks supports Python, Scala, R, Java, and SQL, as well as data science frameworks and libraries such as TensorFlow, PyTorch, and scikit-learn.

Apache Spark™ is a trademark of the Apache Software Foundation.

Data Engineering

Large-scale data processing for batch and streaming workloads

Analytics of all your data

Enable analytics for the most comprehensive and up-to-date data

Collaborative data science

Simplify and accelerate data science on large datasets

Available in
open source

Fast and optimized Apache Spark environment

Main features of the service

Optimized Spark Engine

Simple data processing on the auto-scaling infrastructure, thanks to a heavily optimized Apache Spark™ instance for 50x performance gains.

Machine learning runtime

One-click access to preconfigured machine learning environments for augmented machine learning with industry-leading and popular frameworks such as PyTorch, TensorFlow, and scikit-Learn.


Track and share experiments, replicate runs, and collaboratively manage models from a central repository.

Choice of language

Use your favorite language, including Python, Scala, R, Spark SQL, and .Net, whether you're using serverless or provisioned compute resources.

Collaborative notebooks

Quickly view and explore data, find and share new insights, and collaboratively build models with the languages and tools of your choice.

Delta Lake

Build data reliability and scalability into your current data lake with an open-source transactional storage layer designed for the full data lifecycle.

Interactive workspaces

Enable seamless collaboration between big data experts, data engineers, and business analysts.

Enterprise-grade security

Native, seamless security ensures your data is protected where it resides and creates compliant, private, and isolated analytical workspaces for thousands of users and datasets.

Ready for production

Run and scale your most critical data workloads with confidence on a trusted data platform, with ecosystem integrations for CI/CD and monitoring.

Learn more by viewing the sample solution architectures

Data Science and Machine Learning with Azure Databricks

Easily extract insights from live streaming data. Capture streaming data from any IoT device or website journey logs and process it in near real-time. Easily extract insights from live streaming data. Capture streaming data from any IoT device or website journey logs and process it in near real-time.

Modern analytics architecture with Azure Databricks

Convert your data into actionable insights using world-class machine learning tools. This architecture lets you combine all kinds of data at any scale and build and deploy machine learning models at scale.

Ingest, ETL, and stream processing pipelines with Azure Databricks

Accelerate and manage your end-to-end machine learning lifecycle with Azure Databricks, MLflow, and Azure Machine Learning to build, share, deploy, and manage machine learning applications.


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