Accelerate big data analytics and artificial intelligence (AI) solutions with Azure Databricks, a fast, easy and collaborative Apache Spark–based analytics service.
Set up your Spark environment in minutes and autoscale quickly and easily. Data scientists, data engineers and business analysts can collaborate on shared projects in an interactive workspace.
Why Azure Databricks?
- ProductiveLaunch your new Apache Spark environment in minutes. Seamlessly integrate with other Azure services in an interactive workspace.
- ScalableGlobally scale your analytics and machine learning projects. Reduce cost and complexity with a managed platform that auto scales up and down.
- TrustedHelp protect your data and business with Azure AD integration, role-based controls and enterprise-grade SLAs.
- FlexibleBuild machine learning and AI solutions with your choice of language and deep learning frameworks.
What comes with Azure Databricks?
Optimised Apache Spark environment
Spin up clusters and build quickly in a managed Apache Spark environment. Clusters are set up, configured and fine-tuned to ensure high reliability and performance.
Autoscale and auto-terminate
Reduce resources and costs associated with scaling clusters manually by autoscaling up and down with your needs. Auto-terminate your inactive clusters to save resources.
An interactive workspace enables data engineers, data scientists and business users to collaborate and comment on shared projects as a team.
Optimised for deep learning
Easily build, train and deploy AI models at scale using GPU-enabled clusters. Use runtime for machine learning that comes preinstalled and preconfigured with deep learning frameworks and libraries such as TensorFlow, Keras and XGBoost.
Integration with Azure services
Integrate effortlessly with a wide variety of data stores and services such as Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Storage, Azure Event Hubs and Azure Data Factory. Enable single sign-on with Azure AD to unlock role-based controls.
Support for multiple languages and libraries
Azure Databricks supports languages like Python, Scala, R and SQL so you can use your existing skills to start building. Target any amount of data or any project size using a comprehensive set of analytics technologies including SQL, Streaming, MLlib and GraphX.
What can you do with Azure Databricks?
Modern data warehouse
Easily bring together all your data at any scale and get insights through analytical dashboards, operational reports and advanced analytics for all your users with a modern data warehouse.
Advanced analytics on big data
Transform your data into actionable insights using best-in-class machine learning tools. This architecture allows you to combine any data at any scale and to build and deploy custom machine learning models.
Get insights from streaming data with ease. Capture data continuously from any streaming source or logs from website clickstreams and process it in near-real time.