Azure Databricks
Unlock the power of your data estate with a unified, governed platform for data and AI.
Drive innovation by using Azure Databricks with Microsoft solutions.
OVERVIEW
Transform and unify your data for analytics and AI with an open lakehouse
- Use an open, governed lakehouse platform to break down data silos and support a wide range of analytics and AI scenarios—from real-time dashboards and predictive modeling to advanced machine learning and business intelligence—enabling faster insights and smarter decision-making across the organization.
- Enable teams to easily access, process, and analyze data to unlock insights quickly. Azure Databricks works with Microsoft solutions, including Microsoft Fabric, Power BI, Azure AI Foundry, Power Platform, Copilot Studio, and others across the Microsoft ecosystem.
- Build scalable solutions for data warehousing and extract, transform, load (ETL) pipelines, real-time streaming analytics, generative AI models, and automated workflows—while maintaining enterprise-grade governance and optimizing costs.
- Find peace of mind with Microsoft’s $1 billion yearly investment in cybersecurity and team of over 8,500 security and privacy experts.
FEATURES
Learn what you can achieve with Azure Databricks
Data management
Simplify data management with open formats, unified governance, and AI-driven optimizations—built for performance, flexibility, and control.
Data sharing
Securely share live data across platforms, clouds, and regions—with no replication needed. Empower collaboration with open standards, centralized governance, and privacy-safe clean rooms.
Data warehousing
Bring analytics and AI together with a serverless, AI-powered data warehouse built on lakehouse architecture to deliver speed, simplicity, and cost-efficiency at scale.
Data governance
Secure and scale your data and AI governance with open standards, built-in intelligence, and access control—across clouds, teams, and tools.
Operational database
Develop modern apps with Lakebase, a fully managed, scalable, serverless PostgreSQL database built into the lakehouse.
AI
Advance AI innovation by building, training, and deploying secure, production-ready models using your data on a trusted, scalable platform.
Data engineering
Ingest, transform, and analyze data with speed and precision. Build reliable pipelines and power analytics and AI with no-code tools, automated workflows, and collaborative notebooks on a unified lakehouse foundation.
Data science
Empower data science teams with collaborative notebooks, scalable computing resources, and built-in visualization tools, all powered by an open lakehouse architecture that simplifies data access for faster model development and deployment.
Business intelligence
Accelerate time to value using AI-powered insights in Power BI and with the AI/BI capabilities in Azure Databricks for smarter, faster business decisions.
Security
Embedded security and compliance
34,000
Full-time equivalent engineers dedicated to security initiatives at Microsoft.
15,000
Partners with specialized security expertise.
>100
Compliance certifications, including over 50 specific to global regions and countries.
Pricing
Flexible pricing with basic support included
Get predictable pricing with cost optimizations including serverless options, reserved capacity for lower virtual machine (VM) costs, and the ability to charge usage to your Azure agreement.
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CUSTOMER STORIES
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FAQ
Frequently asked questions
- Azure Databricks is a fast, easy, and collaborative Apache Spark-based data and AI platform optimized for Microsoft Azure. It provides a unified environment for big data and AI workloads, combining the best of Databricks and Azure to simplify data engineering, data science, and machine learning.
- No, Azure Databricks is not a database or a storage system. It’s a data analytics and AI platform that enables users to process, analyze, and visualize large volumes of data and AI use cases. Azure Databricks provides database-like capabilities on top of cloud object storage and integrates with various data sources, including databases, data lakes, and cloud storage.
- Unity Catalog is a unified governance solution for all data and AI assets in Azure Databricks. It provides centralized access control, auditing, lineage, and data discovery across workspaces. Unity Catalog simplifies data governance by enabling fine-grained access policies and ensuring consistent security and compliance across your data estate.
- 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.
- Serverless compute in Azure Databricks helps you run workloads without managing infrastructure. It scales automatically and is fully managed to enable fast startup and simplified operations.
- Photon is a high-performance, vectorized query engine built in C++ that accelerates SQL and DataFrame workloads in Azure Databricks. It improves speed and lowers costs without requiring code changes.
- The default format for all data tables, Delta Lake is an open-source storage layer in Azure Databricks that brings atomicity, consistency, isolation, durability (ACID) transactions, scalable metadata, and unified batch and streaming data processing to your lakehouse.
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You can save on your Azure Databricks unit (DBU) costs when you pre-purchase Azure Databricks commit units (DBCUs) 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.
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