Connect easily to Microsoft Azure services such as Microsoft Fabric, Power BI, and Azure OpenAI with open standards and interfaces.
Run warehousing, analytics, ETL, streaming, and AI use cases at any scale cost effectively. ?
Find peace of mind with Microsoft’s $1 billion yearly investment in cybersecurity and team of over 8,500 security and privacy experts.
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.
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.
“We modernized a legacy Excel and SQL-based application into a Microsoft Power Apps and Azure Databricks solution on the Azure cloud inspired by data mesh and data lakehouse architectures.”
Wasim Tambe, Senior Technical Product Manager, EY Technology
“Using Azure resources, we’ve created state-of-the-art data engineering pipelines that help us process data points from prescription transactions and create valuable insights. We can quickly push these insights back to our pharmacists and technicians.”
Sashi Venkatesan, Director of Product Engineering, Pharmacy and Healthcare Data Product Line, Walgreens
“There’s so much data processing and analytics we can do, making predictions, doing all kinds of complex calculations, and developing entirely new, cutting-edge use cases, for example with Azure Machine Learning Services. All of it can be done on Azure.”
Piethein Strengholt, Principal Data Architect, ABN AMRO
“With Azure security groups, [managing security] became a much easier task. Managing permissions … is way easier to manage than going through a traditional security portal.”
Vardhaman Patil, Senior Business Intelligence Manager, T-Mobile
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.
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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.
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