Research validates that EDB Postgres AI architecture delivers 67% less complexity and 50% reduced TCO compared to DIY solutions

EnterpriseDB (“EDB”), the leading Postgres data and AI company, today released findings from two independent benchmark studies conducted by Everest Group and McKnight Consulting Group. The benchmarks prove that EDB Postgres AI enables faster deployment to sovereign, production-grade, agentic AI for customers, while reducing development and operational complexity by 67%. All this comes with an ability to deliver TCO savings of 50% compared to DIY-based, hybrid, and cloud-based approaches such as AWS.

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Source: EDB, based on findings from Everest Group and McKnight Consulting Group, 2025

EDB’s own global research (across 13 countries) shows that 90%+ of major global enterprises believe they will become their own sovereign AI and data platform within three years, underscoring the urgency for solutions that deliver control without complexity as well as relief from the burden of increasing costs.

Only 13% of these enterprises are succeeding now with agentic and GenAI. They have seen the mission-critical importance of gaining sovereignty (safety, security, and agility) over their AI and data first, so they can deliver the right foundation for production-ready agentic and GenAI at scale. Further, they have reduced complexity and costs at the same time. This has allowed them to deliver twice the amount of mainstream agentic and GenAI of other enterprises, while reaping 5x the economic advantages.

“This ability to get time to value while reducing costs is the nirvana for enterprises looking to deliver on the promise of agentic and GenAI with their own secure, production-ready intelligent apps and agents,” said Nancy Hensley, CPO for EDB.

The new benchmark research confirms that EDB Postgres AI eliminates complexity, providing a fully integrated and sovereign intelligent platform for modern AI workloads, including retrieval-augmented generation (RAG), with faster development, lower costs, and full operational control across hybrid environments.

“EDB Postgres AI is purpose-built for the demands of agentic and generative AI—especially where sovereignty and cost control matter,” said William McKnight, president of McKnight Consulting Group. “Compared to DIY cloud approaches, our research found EDB Postgres AI to be 3x faster to production, 51% lower in total cost, and far simpler to manage at scale. That’s what makes it a standout choice for operationalizing RAG and other advanced AI use cases.”

“Enterprises are struggling with data and AI complexity, especially in hybrid and regulated environments,” said Mukesh Ranjan, vice president at Everest Group. “An ideal platform-based solution can simplify operations, cut complexity by over 55%, and provide the sovereignty that DIY cloud builds can’t.”

Benchmark study: Highlights of EDB Postgres AI

Reduced time and complexity:

• 67% lower development effort, 38% lower maintenance complexity: McKnight Consulting Group’s study confirmed that EDB Postgres AI requires just one third the development effort and reduces ongoing maintenance complexity by 38% compared to DIY cloud approaches.
  
  
  
  
• 40%–43% fewer build steps: Everest Group validated that using an ideal platform-based solution eliminates up to 43% of total steps required in typical in-house builds, streamlining implementation and accelerating timelines.
  
  
  
  
• 90% fewer steps in the development stage: Platform solutions such as EDB Postgres AI eliminate more than 90% of steps typically required during development, driving major productivity gains, according to Everest Group.
  
  
  
  
• Over 55% lower total complexity: According to Everest Group, this approach reduces overall development and operational complexity by more than 55% compared to an enterprise in-house data and AI management solution and includes:
  • Up to 96% reduction in development and engineering complexity
  • Up to 60% reduction in deployment and scaling complexity

Accelerated return on investment:

• 3x faster to production: McKnight found that EDB Postgres AI enables delivery of AI-enabled applications—such as retrieval-augmented generation (RAG)—three times faster than DIY cloud solutions, cutting time to production from 28 weeks to just 9.
  
  
  
  
• 65% faster time-to-value: EDB Postgres AI significantly accelerates the delivery of intelligent applications. Everest Group found that this type of platform-based solution can compress a year-long, labor-intensive build into a matter of weeks, driven by pre-engineered components and automation.
  
  
  
  
• Built for hybrid, built for sovereignty: The research reflects EDB’s ability to deliver full-stack observability, compliance, and governance across hybrid environments, empowering enterprises to meet sovereignty mandates without slowing innovation.

Cost efficiencies:

• Up to 51% lower total cost of ownership: Over a three-year period, McKnight found that EDB Postgres AI reduced TCO by 51% compared to DIY cloud stacks, driven by lower infrastructure, licensing, and personnel costs. Everest Group estimated up to 50% better long-term TCO for platform-based solutions such as EDB.

“Enterprises don’t have the time, resources, or risk tolerance to cobble together sovereign AI infrastructure from cloud building blocks,” added Hensley. “They need simplicity, speed, and sovereignty in a platform that’s ready on day one. That’s what EDB Postgres AI delivers—everything from hybrid management to vector search and RAG-ready pipelines—fully integrated and built to scale securely, without cloud lock-in.”

Unified sovereign platform for transactional, analytical, and AI workloads

Unlike fragmented DIY solutions or siloed legacy platforms, EDB Postgres AI unifies structured, unstructured, and vector data with a fully integrated AI pipeline—combining hybrid management, vector search, and low-code agentic AI development into one portable, sovereign system.

With features including automatic embedding, custom knowledge bases, and off-prompting capabilities, the platform simplifies RAG use cases while ensuring compliance and performance.

As organizations race to capitalize on AI, EDB Postgres AI provides a pragmatic and proven path forward, enabling enterprises to shift from experimentation to results with confidence and control.

Download the reports

View the Everest Group report: Operationalize AI at Scale Through Data and AI Management Solutions

View the McKnight Consulting Group report: Data Platform for RAG-Based Agentic AI: Total Cost of Ownership

For more information on EDB, visit www.enterprisedb.com.

About EDB

EDB Postgres^® AI (EDB PG AI) is the first open, enterprise-grade sovereign data and AI platform—secure, compliant, and scalable, on-premises and across clouds. Built on Postgres, the world’s leading database, EDB PG AI unifies transactional, analytical, and AI workloads, enabling organizations to operationalize their data and LLMs while maintaining control over sovereign environments. EDB PG AI is supported by a global partner network and delivers up to 99.999% availability as well as hybrid management and a built-in AI factory. As one of the most active contributors to the PostgreSQL project, EDB is deeply invested in the vitality of the global community. To learn more, visit www.enterprisedb.com.

EnterpriseDB and EDB are registered trademarks of EnterpriseDB Corporation. Postgres and PostgreSQL are registered trademarks of the PostgreSQL Community Association of Canada and used with their permission. All other trademarks are owned by their respective owners.

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