URGENT UPDATE: A groundbreaking study reveals that organizations leveraging the Denodo Platform alongside data lakehouses can achieve an astonishing 345% return on investment (ROI) over three years, according to new findings released by independent analyst firm Veqtor8. The report, published on September 24, 2025, highlights the risks enterprises face, including delayed projects and potential losses in the millions, when operating lakehouses without an effective logical data management layer.
Organizations that utilize data lakehouses from providers like Snowflake and Databricks are currently at risk. The study indicates that relying solely on these platforms without Denodo can result in missed opportunities for AI and analytics initiatives, costing firms significantly in terms of both time and resources.
The findings are striking: companies using Denodo experience a payback period of just 6.5 months and $3.6 million in cost avoidance, which is primarily spent on navigating engineering complexities and developing infrastructure. In contrast, firms that do not integrate Denodo into their lakehouse strategy face costly custom pipelines and redundant data governance tools, leading to longer timelines and wasted investments.
Andrew Milroy, chief analyst at Veqtor8, stated,
“Lakehouses provide essential storage and compute for unified analytics, but they weren’t designed to deliver business-ready data on their own.”
He emphasized that enterprises without a logical data management platform like Denodo consistently face project delays and higher costs, particularly in the realms of AI and real-time decision-making.
Furthermore, the study reveals that organizations leveraging Denodo can achieve insights 3-4 times faster, thanks to virtualized data access and a semantic abstraction layer. This speed is critical in today’s fast-paced business environment, where timely data can make or break a competitive edge.
According to Ravi Shankar, senior vice president and chief marketing officer at Denodo,
“Clearly, organizations lose money when they rely solely on data lakehouses. Beyond the money, it’s also the effort involved when relying on a lakehouse alone, which can delay the delivery of data to business users.”
The report emphasizes that Denodo not only unifies governance and simplifies data engineering but also delivers AI-ready, business-ready data across silos without the costly replication and delays associated with traditional data management approaches. Customers have reported that initiatives that previously took months to complete can now be delivered in mere days with Denodo’s support.
A head of technology from a major global bank, who participated in the study, shared,
“We can now feed our fraud models with real-time transaction data across systems using Denodo. This shortens deployment by months.”
The comprehensive analysis is detailed in the whitepaper titled The ROI of Using the Denodo Platform alongside the Modern Data Lakehouse, which is available for free on the Denodo website.
As this critical research underscores the significant financial benefits and operational efficiencies gained through the integration of Denodo with data lakehouses, organizations are urged to reevaluate their data strategies. The implications of this study could reshape how companies approach their data management, particularly as they navigate the complexities of AI and analytics in an increasingly competitive landscape.
For more insights and to access the detailed findings, visit Denodo’s official website.
