Azure Databricks

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 of 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 optimised for Azure. Designed in collaboration with the founders of Apache Spark, Azure Databricks combines the best of Databricks and Azure to help customers accelerate innovation with one-click setup, 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

Create notebook

Collaborate

Step 1 of 3

Start by creating a new cluster

Configure your cluster as you like, and spin it up at the click of a button.

Step 2 of 3

Duplicate clusters

Duplicate clusters in order to support separate workflows.

Step 3 of 3

Enable Autoscaling

The Autoscaling feature makes it fast and easy to scale clusters.

It also helps reduce resources and costs associated with scaling clusters manually.

Step 1 of 4

Easily create or import a notebook

Start exploring data with notebooks.

Step 2 of 4

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.