As information and AI workloads scale, organizations want a platform that does extra than simply join providers—it should unify them. Azure Databricks brings collectively the total energy of the Databricks Knowledge Intelligence Platform with deep Azure integrations to simplify and speed up each step of the info lifecycle. From centralized governance and open information codecs to built-in warehousing and native AI instruments, Azure Databricks permits groups to maneuver quicker, cut back complexity, and innovate responsibly. Trusted by hundreds of consumers, together with main enterprises comparable to AT&T, Swiss Re, JLL, CVS Well being, HSBC, Shell, and Walgreens, Azure Databricks is a confirmed platform at scale.
Here is a more in-depth take a look at 5 key the explanation why information and AI groups are selecting Azure Databricks as their unified platform for analytics and AI at scale.
1. Unified governance for information + AI
Azure Databricks consists of Unity Catalog, the unified governance resolution that permits organizations to make use of one strategy to handle all their information and AI belongings. Whether or not it’s tables, recordsdata, notebooks, fashions, or dashboards, Unity Catalog permits groups to set entry insurance policies as soon as and apply them persistently throughout all workloads.
Unity Catalog’s Lakehouse Federation helps you to mount current information with zero copy from methods comparable to SQL Server, BigQuery, Snowflake and storage comparable to ADLS or S3. It’s also possible to connect with current Iceberg or Hive Catalogs.
As a part of the Databricks Knowledge Intelligence Platform on Azure, Unity Catalog helps guarantee enterprise-grade safety and lineage monitoring, and interoperability with Microsoft Purview, eliminating the necessity for a number of disconnected governance instruments. Unity Catalog helps guarantee discoverability, enterprise-grade safety and lineage monitoring to your Azure Databricks belongings, with the power to increase this to your whole information property by combining with Microsoft Purview.
“Unity Catalog has been a game-changer for our enterprise as a result of now we’re in a position to present fine-grained management and entry to our information.”
2. Deep integrations throughout the Azure ecosystem
Azure Databricks is totally built-in inside the Azure ecosystem, providing first-party, native connectors and streamlined experiences throughout:
- Energy BI – publish instantly from Unity Catalog and Databricks Workflows with full semantic mannequin help
- Azure OpenAI Service – mix massive language fashions with enterprise information securely and responsibly. Along with Azure OpenAI, Azure Databricks provides you mannequin selection together with unique entry to Anthropic Claude fashions hosted on Azure Databricks and open-source fashions like Meta’s Llama 4
- Azure Knowledge Lake Storage, Azure Knowledge Manufacturing unit, Entra ID, and Microsoft Purview – unify storage, id, pipeline orchestration, and compliance in a single stack. New in Azure Knowledge Manufacturing unit, the native Databricks Job exercise makes it simpler than ever to set off Databricks Workflows natively.
- Azure AI Foundry – run Azure Databricks Jobs and combine Azure Databricks AI/BI Genie with Foundry Brokers to ship contextual, enterprise-aware solutions
- Microsoft Energy Platform – seamlessly energy your apps, automations, and agent workflows with ruled information, all with out duplicating it
With a few clicks from the Azure Portal, you’ve a totally built-in surroundings, with all your customers and teams from Entra ID obtainable to construct information and AI methods.
The prebuilt integrations cut back architectural overhead and speed up time to perception, serving to clients take full benefit of the Azure-native Databricks expertise.
“Azure Databricks works throughout the ecosystem. We have a knowledge platform right here that is very wealthy, that makes use of so many alternative elements of the Microsoft stack. Databricks is open and orchestrates effectively throughout the totally different platforms.”
3. Constructed-in information warehousing with efficiency and suppleness
With the Databricks SQL information warehouse, clients can serve trendy SQL analytics and BI use circumstances instantly inside Azure Databricks, with out requiring a separate warehouse or creating copies of information. Knowledge stays in an open format, not locked right into a proprietary system, enabling enterprise analysts and information engineers to collaborate on a single platform that helps:
- Excessive-concurrency, low-latency dashboards and advert hoc queries utilizing customary SQL
- Direct Energy BI integration with full governance through Unity Catalog
- Pure language querying by AI/BI Genie, making insights accessible to extra customers
“With Azure Databricks serving because the Knowledge Intelligence Platform complemented with Microsoft’s Energy BI, the enterprise consequence has been profound. Our use circumstances, like annuities digital menace, has had a multi-million greenback impression on winbacks.”
This stage of efficiency and ease displays the facility of Azure Databricks, enabling groups to unify their analytics layer with out compromising governance or scale.
4. AI improvement made easy
Whether or not you are constructing LLM-powered copilots, fine-tuning proprietary fashions, or operating traditional machine studying workloads, Azure Databricks affords the pliability to do all of it whereas maintaining governance and observability on the forefront.
By way of integrations with Azure OpenAI, open supply fashions like Llama 4, and help for suppliers like Anthropic, clients can:
- Select the fitting mannequin for the fitting use case
- Customise together with your enterprise information and serve fashions securely inside ruled environments
- Monitor price and efficiency by built-in observability instruments
The unified structure of the Databricks Knowledge Intelligence Platform on Azure makes all of this potential, simplifying AI improvement and aligning with enterprise safety necessities.
5. Excessive efficiency with low TCO
Azure Databricks is optimized for each efficiency and effectivity. With the Photon engine, workloads run quicker whereas consuming fewer assets, leading to actual, measurable financial savings for information and AI groups. Key advantages embody:
- 6x quicker efficiency than legacy warehouse engines
- Consumption-based pricing – pay just for what you employ
- AI-powered auto-optimization, lowering the necessity for handbook tuning
“As a part of our adoption of the Databricks Knowledge Intelligence Platform, we now have noticed an amazing quantity of information high quality enchancment, quicker insights by a minimum of 25%.”
These capabilities mirror the design rules of the Databricks Knowledge Intelligence Platform on Azure: open, clever, and cost-efficient.
Speed up innovation with Azure Databricks
From analytics to GenAI, Azure Databricks supplies a unified basis for innovation. As a part of your Microsoft Azure surroundings, Azure Databricks allows you to construct smarter, transfer quicker, and govern every part in a single place, whether or not you’re scaling BI, accelerating AI, or simplifying your information property. Hear extra how main enterprises are unlocking quicker insights, higher information high quality, and tangible price financial savings utilizing Azure Databricks.
Get Began with a Free 14-day Trial of Azure Databricks.
