Azure Databricks

The jointly-developed data and AI service from Databricks and Microsoft for data engineering, data science, analytics and machine learning

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Unified data analytics

Reliable data engineering

Large-scale data processing for batch and streaming workloads.
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Analytics on
all your data

Enable analytics and ML on the most complete and recent data.
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Collaborative data science

Simplify and accelerate data science on large datasets.
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Production
machine learning

Standardize ML lifecycle from experimentation to production.
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Using SQL to Query Your Data Lake on Delta Lake

See how you can easily query your data lake using SQL and Delta Lake on Azure. We’ll show how Delta Lake enables you to run SQL queries without moving or copying your data. We will also explain some of the added benefits that Azure Databricks provides when working with Delta Lake.
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Why Azure Databricks?

50x performance for Apache Spark^TM workloads

Deploy auto-scaling compute clusters with highly-optimized Spark that perform up to 50x faster.
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Millions of server hours each day

Azure Databricks is trusted by thousands of customers who run millions of server hours each day across more than 30 Azure regions.
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Ease of use

Start with a single click in the Azure Portal, natively integrate with Azure security and data services, and boost productivity by up to 25% with collaborative data engineering and data science.
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Trusted by customers across industries

Join an Azure Databricks event

Databricks, Microsoft and our partners are excited to host these events dedicated to Azure Databricks. Please join us at an event near you to learn more about the fastest-growing Data + AI service on Azure! The agenda and format will vary, please see the specific event page for details.
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Optimized for Azure

Seamlessly integrate to Azure data stores and services with specialized connectors for fast data access and simplified management across your environment. This makes it easy to setup security controls, manage environments, and process all your Azure data.

Featured integrations

Azure Active Directory

Single Sign-On with Azure Active Directory is the best way to sign in to Azure Databricks. Azure Databricks also supports automated user provisioning with Azure AD to create new users, give them the proper level of access, and remove users to deprovision access.

Azure Data Lake Storage

The Azure Databricks native connector to ADLS supports multiple methods of access to your data lake. Simplify data access security by using the same Azure AD identity that you use to log into Azure Databricks with Azure Active Directory Credential Passthrough. Your data access is controlled via the ADLS roles and Access Control Lists you have already set up.

Azure Data Factory

Seamlessly run Azure Databricks jobs using Azure Data Factory and leverage 90+ built-in data source connectors to ingest all of your data sources into a single data lake. ADF provides built-in workflow control, data transformation, pipeline scheduling, data integration, and many more capabilities to help you create reliable data pipelines.

Azure Machine Learning

Azure Databricks integrates with Microsoft Azure Machine Learning (AML) via MLflow to centrally track ML experiments and deploy models to Azure containers for on-demand inferencing. Azure Databricks can also use AML’s automated machine learning capabilities through the AML SDK.

Azure Synapse Analytics

Azure Databricks integrates with Azure Synapse to bring analytics, business intelligence (BI), and data science together in Microsoft’s Modern Data Warehouse solution architecture. The high-performance connector between Azure Databricks and Azure Synapse enables fast data transfer between the services, including support for streaming data.

Azure DevOps

Azure Databricks connects with Azure DevOps to help enable Continuous Integration and Continuous Deployment (CI/CD). Configure Azure DevOps as your Git provider and take advantage of the integrated version control features.

Azure Virtual Network

The default deployment of Azure Databricks is a fully managed service on Azure that includes a virtual network (VNet). Azure Databricks also supports deployment in your own virtual network (sometimes called VNet injection) that enables full control of network security rules.

Azure Event Hubs

Get insights from live streaming data by connecting Azure Event Hubs to Azure Databricks, then process messages as they arrive. With Event Hubs and Azure Databricks, stream millions of events per second from any IoT device, or logs from website clickstreams, and process it in near-real time.

Azure Key Vault

Manage your secrets such as keys and passwords with integration to Azure Key Vault. By default, all Azure Databricks notebooks and results are encrypted at rest with a different encryption key. If you want to own and manage the key used for encrypting your notebooks and results yourself, you can bring your own key (BYOK).

End-to-end modern data architecture

Use cases

Simplify and accelerate data and AI solutions at any scale

Personalized Recommendation Engines

Process all of your data in real time to provide the most relevant product and service recommendations.

Genomic Sequencing

Modernize your technology stack to improve experience for patients and physicians with the fastest DNASeq pipeline at scale.

Fraud Detection and Prevention

Leverage complete historical data together with real-time data streams to quickly identify anomalous and suspicious financial transactions.