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.
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
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.
Quickly view and explore data, find and share new insights, and collaboratively build models with the languages and tools of your choice.
Build data reliability and scalability into your current data lake with an open-source transactional storage layer designed for the full data lifecycle.
Enable seamless collaboration between big data experts, data engineers, and business analysts.
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.