Drive innovation and increase productivity
Bring teams together in an interactive workspace. From data gathering to model creation, use Databricks Notebooks to unify the process and instantly deploy to production. Launch your new Spark environment with a single click. Integrate effortlessly with a wide variety of data stores and services such as Azure SQL Data Warehouse, Azure Cosmos DB, Azure Data Lake Store, Azure Blob storage, Azure Event Hubs, Azure IoT Hub, and Azure Data Factory. Add advanced artificial intelligence (AI) capabilities instantly and share your insights through rich integration with Power BI.
Build on a secure, trusted cloud
Protect your data and business with Azure Active Directory integration, role-based controls, and enterprise-grade SLAs. Get peace of mind with fine-grained user permissions, enabling secure access to Databricks Notebooks, clusters, jobs, and data.
Scale without limits
Globally scale your analytics and data science projects. Build and innovate faster using advanced machine learning capabilities. Add capacity instantly. Reduce cost and complexity with a fully managed, cloud-native platform. Target any size data or project using a complete set of analytics technologies including SQL, Streaming, MLlib, and GraphX.
A quick introduction to Azure Databricks
Azure Databricks is a fast, easy, and collaborative Apache Spark-based analytics platform optimized for Azure. Designed in collaboration with the original founders of Apache Spark, Azure Databricks combines the best of Databricks and Azure to help customers accelerate innovation with one-click set up, streamlined workflows, and an interactive workspace that enables collaboration between data scientists, data engineers, and business analysts. As an Azure service, customers automatically benefit from the native integration with other Azure services such as Power BI, SQL Data Warehouse, and Cosmos DB, as well as from enterprise-grade Azure security, including Active Directory integration, compliance, and enterprise-grade SLAs.
Create new cluster
Start by creating a new cluster
Configure your cluster as you like, and spin it up at the click of a button.
Duplicate clusters in order to support separate workflows.
The Autoscaling feature makes it fast and easy to scale clusters.
It also helps reduce resources and costs associated with scaling clusters manually.
Easily create or import a notebook
Start exploring data with notebooks.
Set custom permission settings
Set role-based permission settings so data engineers, data scientists, and business users can collaborate with each other, based on defined individual access level.
Create tables in the workspace
Create new tables and import existing data from files or a data source.
Preview and Create the table.
Easily mount to Azure storage with a single command.
Each contributor can collaborate live and comment on shared projects.
Data scientists can use data findings to build ML models to train, test, and run.
Review data in real-time
Business users can view business critical data that is shared with them in real-time with simple and easy to read live data displays.
Run notebooks as jobs
Run notebooks as jobs in minutes.
Select an existing notebook.
Choose from existing streaming, or ML libraries.
Schedule jobs in advance, and have them run automatically and monitor their performance.
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