Azure Databricks
The data and AI service from Databricks available through Microsoft Azure to store all your data on a simple open lakehouse and unify all your analytics and AI workloads.
Azure Databricks is optimized for Azure and tightly integrated with Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Power BI and other Azure services to store all your data on a simple, open lakehouse and unify all your analytics and AI workloads.
Simple
Unify your data, analytics and AI
on one common platform for all data use cases
Open
Unify your data ecosystem
with open source, standards, and formats
Collaborative
Unify your data teams
to collaborate across the entire data and AI workflow
Why Azure Databricks?
50x performance for Apache Spark™ workloads
Deploy auto-scaling compute clusters with highly optimized Spark that perform up to 50x faster.
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 34 Azure regions.
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.
Industry use cases
Swiss Re
Unified data analytics across data engineering, data science and analysts.
HSBC
Built a digital payment platform using Azure Databricks.
ABN AMRO
Improved analytics workflows by enabling collaboration, AI insights and advanced, automated machine learning capabilities.
Learn more →
Albertsons
Delivered a flexible omnichannel platform to support growth and innovation.
Runtastic
Built their analytical engine around Azure Databricks to help users around the world keep fit and active.
John Keells Holdings
Enables employees to securely access a shared self-service platform to collaborate across teams.
Learn more →
Providence Health Care
Built a data streaming solution using Azure Databricks and Azure Event Hubs.
Rush University Medical Center
Uses the Azure cloud to deliver better healthcare outcomes.
CVS Health
Leverages Data + AI to personalize the pharmacy experience and enable better outcomes.
Learn more →
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 and AI service on Azure! The agenda and format will vary, please see the specific event page for details.
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 set up security controls, manage environments, and process all your Azure data.
Featured integrations
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.
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.
Seamlessly run Azure Databricks jobs using Azure Data Factory and leverage 90+ built-in data source connectors to ingest all 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 Databricks integrates with Azure services to bring analytics, business intelligence (BI), and data science together in Microsoft’s build web and mobile applications. The high-performance connector between Azure Databricks and Azure Synapse enables fast data transfer between the services, including support for streaming data.
One of the key features customers look for when adopting a Lakehouse strategy is the ability to efficiently and securely consume data directly from the data lake with BI tools. This typically reduces the additional latency, compute, and storage costs associated with the traditional flow of copying data already stored in a data lake to a data warehouse for BI consumption. The Azure Databricks connector in Power BI makes for a more secure, more interactive data visualization experience for data stored in your data lake.
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.
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.
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.
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).
