Microsoft Azure Databricks delivers the first-party benefit of Databricks on Microsoft\u2014and for purchasers, that benefit reveals up as actual, measurable worth. It’s the identical Databricks platform your groups already know, co-engineered with Microsoft and delivered as a local Azure service, so it matches naturally into the Microsoft instruments, identification, and governance your group already runs.<\/p>\n
\n The benefit is built-in, not bolted on. Microsoft and Databricks co-engineer the service, share one integration roadmap throughout the Microsoft knowledge and AI stack, and align go-to-market so that you get one movement, one invoice, and one help path. For technical groups, meaning deeper native integration and stronger efficiency. For the enterprise, it means decrease value, much less threat, and sooner time to worth.\n<\/p>\n
The strategic partnership drives an accelerated integration roadmap and steady optimization for improved efficiency; nonetheless, decision-makers continuously ask about what enterprise worth all of this interprets to. To handle this key query, Microsoft commissioned a Forrester Whole Financial Impression\u2122 research of Azure Databricks. It discovered {that a} composite group based mostly on interviewed prospects realized a three-year 331% return on funding, $58.1 million in internet current worth, and recovered its funding in lower than six months.<\/p>\n
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\n331percentReturn on funding\u00a0$58.1MNet current worth< 6 monthsPayback interval<\/figure>\n<\/div>\n<\/div>\n
Commissioned research carried out by Forrester Consulting on behalf of Microsoft, June 2026. Outcomes are over three years and symbolize a composite group based mostly on interviewed prospects and is probably not typical; precise outcomes will range.\n<\/p>\n
What the research discovered<\/h2>\n
Forrester interviewed Azure Databricks prospects and constructed a composite group to mannequin the influence: a $6 billion firm in a regulated {industry}, operating about 10 petabytes of information.<\/p>\n
\n Earlier than Azure Databricks, its knowledge property was fragmented and costly. It was unreliable at scale and laborious to manipulate. Afterward, the outcomes have been clear: $75.6 million in advantages towards $17.5 million in value over three years translating to $58.1 million in internet current worth.\n<\/p>\n
\n The worth got here from 4 locations:\n<\/p>\n
$39.0 million\u2014knowledge and analytics groups\u2019 productiveness. Groups dealt with extra work with out including individuals, with measured good points of 15% to 25%. As a Vice President of information providers at a healthcare group put it: \u201c\u2026we\u2019re doing extra work with the identical dimension of the workforce.\u201d<\/p>\n
$11.4 million\u2014higher knowledge platform resiliency. Managed operations meant fewer outages and no customized catastrophe restoration to construct.<\/p>\n
$5.4 million\u2014retired legacy software program and redeployed DBAs.\u00a0Consolidating databases and Extract, Load, Rework (ETL) instruments eradicated third-party licenses, and managed operations freed database directors for higher-value work.<\/p>\n
Forrester listed extra advantages it didn\u2019t put a value on: native Azure providers integration, sooner insights, wider entry to knowledge, and governance by way of Unity Catalog. That\u2019s the place the return begins.<\/p>\n<\/figure>\n
The place the worth comes from<\/h2>\n
These returns come down to 1 factor. Azure Databricks is a real first-party Azure service, co-engineered by Microsoft and Databricks, it plugs into the instruments your groups already use. That removes the additional knowledge copies, tooling, and integration work that increase prices elsewhere.<\/p>\n
An amazing instance is the Azure Databricks Genie integration with Microsoft Copilot Cowork. You’ll be able to add context of your small business and construct on that intelligence into the instruments your groups already use with this integration. Genie lets anybody query the lakehouse in plain language\u2014now inside Microsoft Groups, Microsoft 365 Copilot, and extra lately in Copilot Cowork, the place it grounds duties in trusted knowledge by way of Genie Ontology. Each reply is scoped by Unity Catalog to precisely what every person is permitted to see, so intelligence reaches the move of labor with out loosening governance.<\/p>\n
\n The identical depth runs throughout the remainder of the platform:\n<\/p>\n
\n These are the integrations that Forrester valued however didn\u2019t value individually nonetheless, they’re crucial components driving productiveness and value advantages that have been quantified.\n<\/p>\n
Backed by unbiased benchmarks<\/h2>\n
Worth additionally will depend on velocity, and that\u2019s been examined. Principled Applied sciences, an unbiased agency, ran an industry-standard, TPC-DS-like decision-support benchmark on a 10-terabyte dataset. Azure Databricks accomplished a single question stream in as much as 21.1% much less time than Databricks on AWS (with autoscale disabled) and ran 4 concurrent question streams greater than 9 minutes sooner.<\/p>\n
What it means for you<\/h2>\n
Selecting a knowledge and AI platform is a long-term choice, and with Azure Databricks the items reinforce one another. The mixing drives the financial savings Forrester measured. The efficiency retains these good points regular as utilization grows. And all of it rests on one basis: a first-party partnership that places Microsoft and Databricks engineering, roadmap, and help behind your knowledge property. The worth isn\u2019t a declare, it\u2019s been measured: a three-year 331% return, with payback in beneath six months. It\u2019s why so many groups select to run their lakehouse on Azure Databricks.<\/p>\n
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