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Azure

Azure Databricks

Maximize the value of your data assets for all analytics and AI use cases

Effortlessly analyze and visualize big data with scalable, real-time processing

OVERVIEW

Enable data, analytics, and AI use cases on an open data lake

  • Eliminate data silos with an open, governed lakehouse platform for data warehousing, data science, data engineering, and AI use cases.
  • Connect easily to Microsoft Azure services such as Microsoft Fabric, Power BI, and Azure Open AI with open standards and interfaces.
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  • Run warehousing, analytics, ETL, streaming, and AI use cases at any scale cost effectively.  
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  • Find peace of mind with Microsoft’s USD 1 billion yearly investment in cybersecurity and team of over 8,500 security and privacy experts.
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FEATURES

See what you can do with Azure Databricks

AI

Build better AI with a data-centric approach. Create, tune, and deploy your own generative AI applications with tracking and monitoring at scale.

Warehousing

Achieve industry-leading price and performance with the lakehouse architecture and SQL that bring cloud data warehousing capabilities to your data lakes.

ETL

Enable intelligent data processing for batch and real-time data.

Governance

Unify governance for data analytics and AI.

Data sharing

Enable easy sharing of live datasets, models, dashboards, and notebooks to collaborate with anyone on any platform.
SECURITY

Built-in security and compliance 

Microsoft has committed to investing USD 20 billion in cybersecurity over five years.
We employ more than 8,500 security and threat intelligence experts across 77 countries.
Azure has one of the largest compliance certification portfolios in the industry.
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PRICING

Flexible pricing with basic support included

Get predictable pricing with cost optimizations such as reserved capacity to lower virtual machine (VM) costs and the ability to charge usage to your Azure agreement.

Build with Azure Databricks and Microsoft Fabric

Employ the analytics capabilities of Fabric and Azure Databricks that work best for you, without data duplication.
CUSTOMER STORIES

Trusted by leaders and innovators

FAQ

Frequently asked questions

  • A Databricks unit, or DBU, is a normalized unit of processing capability per hour based on Azure VM type and is billed on per-second usage. The DBU consumption depends on the size and type of instance running Azure Databricks.
  • With the serverless compute version of the Databricks platform architecture, the compute layer exists in the Azure subscription of Azure Databricks rather than your Azure subscription.
  • Photon is Apache Spark rewritten in C++ and provides a high-performance query engine that can accelerate your time to insights and reduce your total cost per workload.
  • Delta Lake is an optimized storage layer that provides the foundation for storing data and tables in Azure Databricks. Explore the resource What is a Data Lake? to learn more about how it’s used.
  • You can save on your Azure Databricks unit (DBU) costs when you pre-purchase Azure Databricks commit units (DBCU) for one or three years. You can use the pre-purchased DBCUs at any time during the purchase term.

     

    The pre-purchase discount applies only to the DBU usage. Other charges such as compute, storage, and networking are charged separately.

  • Microsoft Fabric is built on the same open Delta Parquet storage format that Azure Databricks pioneered. This allows Azure Databricks to work with the open format OneLake in Microsoft Fabric.
NEXT STEPS
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 Account signup

Get started with a free account

Start with USD 200 Azure credit
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Account signup

Get started with pay-as-you-go pricing

There’s no upfront commitment – cancel anytime.