Azure Databricks delivers proven business value

Microsoft Azure Databricks presents the unique advantage of Databricks within the Microsoft ecosystem, offering users substantial, concrete value. This is the familiar Databricks platform your teams already utilise, now enhanced through a partnership with Microsoft and provided as an integrated Azure service. It seamlessly fits into the Microsoft tools, identity management, and governance your organisation is currently operating.

This advantage isn’t just an add-on; it’s intrinsic to the platform. Microsoft and Databricks jointly design the service, sharing a unified vision for integration across the Microsoft data and AI landscape. This alignment ensures streamlined billing and support. For technical teams, this translates to enhanced integration and performance. On a business level, users can benefit from reduced costs, minimized risks, and quicker value realisation.

The strategic alliance fosters a fast-paced integration strategy and ongoing optimisation for improved performance. Decision-makers frequently seek clarity on the tangible business benefits of these enhancements. In response, Microsoft commissioned a Forrester Total Economic Impact study on Azure Databricks. The findings revealed that a composite organisation, based on interviews with real customers, achieved a remarkable three-year 331% return on investment, with a net present value of $58.1 million, and recouped its initial investment in under six months.

Commissioned study conducted by Forrester Consulting on behalf of Microsoft, June 2026. Results are indicative over three years and are based on an organisation composite derived from interviewed customers. Actual outcomes may vary.

Key Findings from the Study

Forrester engaged with Azure Databricks users to develop a composite organisation: a $6 billion entity in a regulated sector managing around 10 petabytes of data.

Prior to implementing Azure Databricks, this organisation faced issues of a fragmented and costly data environment, which was unreliable and difficult to govern. Post-implementation, the benefits were unmistakable: $75.6 million in advantages compared to $17.5 million in costs over three years, resulting in a net present value of $58.1 million.

This value emerged from four key areas:

• $39.0 million—Productivity of data and analytics teams. Teams accomplished more work without increasing staff, with productivity gains ranging from 15% to 25%. A vice president of data services from a healthcare firm remarked: “We’re achieving more with the same team size.”
• $19.9 million—Reduced infrastructure expenses. The flexibility of pay-as-you-go computing replaced previously overprovisioned hardware.
• $11.4 million—Enhanced resilience of the data platform. Managed operations resulted in fewer outages and eliminated the need for complex disaster recovery setups.
• $5.4 million—Retirement of legacy software and redeployment of DBAs. Consolidating databases and Extract, Load, Transform (ETL) tools eliminated costs tied to third-party licenses. Managed operations allowed database administrators to focus on higher-value tasks.

Forrester also noted additional benefits not quantified, such as seamless integration with native Azure services, quicker insights, broader data access, and governance via Unity Catalog. These factors contribute to the overall return.

Sources of Value

The impressive returns primarily stem from one key aspect. Azure Databricks is a genuinely first-party Azure service, co-developed by Microsoft and Databricks, allowing it to integrate seamlessly with the tools your teams are already using. This integration minimises the need for additional data copies and complex tooling, slashing costs.

A prime illustration of this is the Azure Databricks Genie connection with Microsoft Copilot Cowork. This feature allows you to personalise your business insights and enhance your team’s tools seamlessly. With Genie, users can query the lakehouse using plain language—currently integrated into Microsoft Teams, Microsoft 365 Copilot, and most recently in Copilot Cowork. This ensures that all responses are governed appropriately using Unity Catalog, allowing intelligence to flow within set boundaries.

This level of integration extends across the entire platform:

These connections, while not individually priced by Forrester, are crucial in driving both productivity and cost savings that have been quantified.

Validated by Independent Standards

Value is also heavily reliant on speed, which has been independently assessed. Principled Technologies, a third-party firm, conducted a TPC-DS-like decision-support benchmark using a 10-terabyte dataset. Azure Databricks executed a single query stream in up to 21.1% less time compared to Databricks on AWS (with autoscale disabled) and completed four concurrent query streams quicker by over nine minutes.

Implications for Your Organisation

Selecting a data and AI platform is a significant long-term choice. With Azure Databricks, all elements work in harmony. The integration effectively drives the savings that Forrester identified. Performance ensures that these benefits remain consistent as your usage expands. The foundation of this success is a first-party partnership that guarantees Microsoft and Databricks provide engineering, roadmap alignment, and support for your data environment. The value isn’t just an assertion; it’s been quantified: a stunning three-year return of 331%, with payback occurring in less than six months. This is why many teams opt for Azure Databricks to manage their lakehouse.

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