Microsoft Azure Databricks delivers the first-party benefit of Databricks on Microsoft—and for patrons, 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 suits naturally into the Microsoft instruments, identification, and governance your group already runs.
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, which means deeper native integration and stronger efficiency. For the enterprise, it means decrease price, much less danger, and quicker time to worth.
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 Complete Financial Affect™ research of Azure Databricks. It discovered {that a} composite group primarily based 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.
| 331% Return on funding |
$58.1M Internet current worth |
< 6 months Payback interval |
Commissioned research carried out by Forrester Consulting on behalf of Microsoft, June 2026. Outcomes are over three years and characterize a composite group primarily based on interviewed prospects and might not be typical; precise outcomes will range.
What the research discovered
Forrester interviewed Azure Databricks prospects and constructed a composite group to mannequin the affect: a $6 billion firm in a regulated {industry}, operating about 10 petabytes of information.
Earlier than Azure Databricks, its knowledge property was fragmented and costly. It was unreliable at scale and onerous to control. Afterward, the outcomes have been clear: $75.6 million in advantages in opposition to $17.5 million in price over three years translating to $58.1 million in internet current worth.
The worth got here from 4 locations:
- $39.0 million—knowledge and analytics groups’ productiveness. Groups dealt with extra work with out including folks, with measured positive aspects of 15% to 25%. As a Vice President of information providers at a healthcare group put it: “…we’re doing extra work with the identical dimension of the staff.”
- $19.9 million—decrease infrastructure prices. Elastic, pay-as-you-go compute changed overprovisioned {hardware}.
- $11.4 million—higher knowledge platform resiliency. Managed operations meant fewer outages and no customized catastrophe restoration to construct.
- $5.4 million—retired legacy software program and redeployed DBAs. Consolidating databases and Extract, Load, Remodel (ETL) instruments eradicated third-party licenses, and managed operations freed database directors for higher-value work.
Forrester listed extra advantages it didn’t put a worth on: native Azure providers integration, quicker insights, wider entry to knowledge, and governance by way of Unity Catalog. That’s the place the return begins.
The place the worth comes from
These returns come down to at least one 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.
An awesome instance is the Azure Databricks Genie integration with Microsoft Copilot Cowork. You’ll be able to add context of your enterprise and construct on that intelligence into the instruments your groups already use with this integration. Genie lets anybody query the lakehouse in plain language—now inside Microsoft Groups, Microsoft 365 Copilot, and extra just 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 consumer is permitted to see, so intelligence reaches the move of labor with out loosening governance.
The identical depth runs throughout the remainder of the platform:
These are the integrations that Forrester valued however didn’t worth individually nonetheless, they’re crucial elements driving productiveness and price advantages that have been quantified.
Backed by unbiased benchmarks
Worth additionally depends upon velocity, and that’s 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 quicker.
What it means for you
Selecting an information and AI platform is a long-term choice, and with Azure Databricks the items reinforce one another. The combination drives the financial savings Forrester measured. The efficiency retains these positive aspects 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’t a declare, it’s been measured: a three-year 331% return, with payback in below six months. It’s why so many groups select to run their lakehouse on Azure Databricks.
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