How the scale and workload AI, the organization needs a platform that performs more than just the interconnection of services – must unify them. Azure Databricks combines the full power of the Databricks Platform Data Intelligence with deep Azure integration to simplify and speed up every step of the data cycle. Azure Databricks allow teams to move faster, reduce the complexity and responsibly innovate azure databricks allow teams to move faster, reduce complexity and responsibly innovate data and open data formats. Trust thousands of customers, including main businesses such as AT&T, Swiss Re, JLL, CVS Health, HSBC, Shell and Walgreens, Azure Databricks is a proven scale platform.
Here is a more detailed view of five key reasons why data and teams select Azure Databricks as their united platform for analysts and AI on a scale.
1. United administration for data + AI
Azure Databricks included the Unity Catalog, Unified Governance, which allows organizations to use one approach to manage all its data and assets AI. Whether they are tables, files, laptops, models or dashboards, Unity catalog, allows the team to set the access police and apply them at all workloads.
Lake Lake Federation Unity Catalog allows you to mount existing data with zero copy from systems such as SQL server, bigQuery, snowflake and storage such as ADL or S3. You can also connect to existing Iceberg or Hive catalogs.
Within the Databricks Platform, Intelligence on Azure helps the Unity Catalog to ensure security and lines in the business level and interoperability with Microsoft Review, eliminating the need for multiple disconnection tools. The Unity catalog helps to ensure discovery, business security and line tracking for your Azure Databricks, with the ability to extend it to your entire data property by combining with Microsoft Purview.
“The Unity catalog was a player for our business because there is a gentleman who provides fine -grained control and access to our data.”
– Manish Danani, Head of AI and Engineering Platforms, Mars
2. Deep integration across Azure ecosystem
Azure Databricks is fully integrated into the Azure ecosystem and offers the first page, native connectors and streamlined experiences across:
- Power Bi – publish directly from workflows for catalog and databricks with full support of the semantic model
- Azure Openai Service – Large language models with business data safely and responsible. In addition to the Azure Openii Azure Databricks, it gives a selection of model including an exclusive approach to anthropic Claude hosted on Azure Databricks and Open-Source Models such as Meta’s Llama 4
- Azure Data Lake Storage, Azure Data Factory, Entra ID and Microsoft Proceew – Unify storage, identity, pipe orchestration and match in one magazine. New in Azure Data Factory, native work activity Databricks makes it easier to start the databricks workflows.
- Azure AI Foundry -Run Azure databricks Jobs and integrate Azure Databricks AI/BI Genie with foundry agents to deliver context responses to business
- Microsoft Power Platform – You can easily power your applications, automation and workflows of agent with controlled data, all without duplicate is
With a few clicks from the Azure portal, you have a fully integrated environment, with all your users and groups from EN idleble to create data and AI systems.
Pre -created integration reduces the architectural overhead cargo and accelerates the time to insight and help customers make full use of the experiences of azure native databrats.
“Azure Databricks works across the ecosystem. We have a data platform that uses a very rich that uses so many different aspects of Microsoft. Databricks is open and organizes well across different platforms.”
– Helius Guimaraes, main data and officer AI, Fonterra
3. Built -in data storage with performance and flexibility
With the Databricks SQL data warehouse, customers can serve modern SQL Analytics and BI directly in Azure Databricks without required to make a separate warehouse or make data copies. The data remains in an open format that is not locked in a proprietary system, allowing business analyzes and data engineers to work on one platform that supports:
- Dashboards with low latency and ad hoc queries using SQL SQL
- Integration of direct Power Bi with full management via the Unity catalog
- Inquisition to a natural language asking via AI/BI Genie, and making knowledge available for multiple users
“With Azure Databricks serving as a data news platform supplemented with Microsoft Power BI, Business Outcoma has been deep. OU use boxes such as the digital threat of Annuits, has an impact of more millions of dollars.”
– Raju Mudunuri, Head Manager IT Data Solutions, Lexmark International
This level of performance and simplicity reflects the strength of the Azure databricks, allowing teams to unify the Heir analyst, without threatening management or scale.
4 .. Development AI was simple
Whether you are building LLM-Powred Copilots, fine fine-tuning of the propulsion models or the operation of classic machine learning work, Azure Databricks offers flexibility for all while maintaining and visibility.
Through integration with Azure Openai, open source code models such as LLAM 4, and support for providers such as anthropic, customers can:
- Select the right model for the correct use
- Customize your business data and provide models safely as part of control around
- Observe cost and performance through built -in tools for observation
The united architecture of the Databricks Data Intelligence Platform on Azure allows it all and simplifies the development of artificial intelligence and matches the business security requirements.
5. High performance with low tCO
Azure databricks is optimized for performance and efficiency. With the photon engine, working workload runs faster and consumes fewer resources, resulting in real measurable savings for data and AI teams. Key benefits include:
- 6x fast power Than older warehouse engines
- Prices based on consumption – Pay only for what you use
- Ai-Power automationReducing the need for manual tuning
“As part of our acceptance of the Databricks Data Intelligence Platform, we observed a huge love to improve data quality, faster knowledge of at least 25%.”
– Raju Mudunuri, Head Manager IT Data Solutions, Lexmark International
These capabilities reflect the Databricks Platform Principles of Intelligence Platform on Azure: open, intelligent and cost effects.
Speed up innovation with databricks azure
From analysis to Genai, Azure Databricks provides a uniform foundation for innovation. Within your Microsoft Azure environment, Azure Databricks allows you to build smarter, move faster and drive everything in one place, whether you scalance BI, accelerate AI or simplify your data property. Listen to more how the front businesses unlock faster information, better data quality and tangible cost savings using Databricks Azure.
Start with a 14 -day 14 -day trial version of Azure Databricks.