EnterpriseDB (EDB) has introduced a new framework that ranks commercial contributors to PostgreSQL, reflecting the growing competition among cloud and data platform providers in the realm of this open-source database. The Postgres Vitality Index evaluates the extent and significance of contributions that shape the future of PostgreSQL, especially as more organizations adopt this technology for data and AI initiatives.
Ranking Contributors
In its assessment, EDB positioned itself at the forefront, claiming over 30% of the contributions tracked by the index. Following EDB are notable players such as AWS and Microsoft, with Fujitsu, Snowflake (via Crunchy Data), Databricks (through Neon), Percona, Google, and Cybertec rounding out the list.
PostgreSQL, often referred to as Postgres, boasts a rich history as a community-driven database and remains a preferred choice for application development and data modernization. EDB interprets the current trend as a strategic pivot by major tech companies, particularly in relation to AI workloads.
Market research referenced in the announcement suggests that the uptick in corporate investment is closely tied to Postgres’s integral role in contemporary enterprise architectures.
“The world’s largest cloud and data companies are now deeply investing in Postgres, a clear signal of its growing role in modern enterprise and AI workloads. As corporate investment increases, EDB remains one of the project’s most consistent contributors,” stated Devin Pratt, Research Director at IDC.
Understanding the Index
EDB describes the Postgres Vitality Index as a comprehensive evaluation based on 12 factors categorized into three main areas: core contributions to the PostgreSQL code base, ecosystem contributions such as extensions and tooling, and “community nurture,” which refers to sustained investment in the health and growth of the Postgres community.
The index relies on publicly available data and focuses on what EDB identifies as the nine largest commercial contributors. It does not aim to capture the full spectrum of community engagement, which includes efforts from individuals, academic institutions, and smaller vendors in areas like code, testing, documentation, and support.
By positioning the index as a means to highlight stewardship alongside adoption, EDB argues that an increase in commercial usage does not necessarily equate to long-term development commitment.
“Developers have long loved Postgres for its extensibility, flexibility, and open innovation model. Now global enterprises are recognizing that same value, making Postgres a strategic decision and running mission-critical data systems on it. That transition doesn’t happen by accident,” remarked Jozef de Vries, SVP of Core Database Engineering at EDB.
De Vries further emphasized, “For nearly 20 years, EDB has invested in advancing the core, strengthening the ecosystem, and nurturing the community to ensure Postgres is ready not just for today’s demands but for the future now unfolding.”
Focus on Sovereignty
In conjunction with the index, EDB has outlined its product strategy centered around a platform named EDB Postgres AI, which addresses data sovereignty and governance challenges that may arise when deploying AI systems across diverse environments.
EDB highlighted a disparity between aspirations and actual delivery in AI platform consolidation, citing that while 95% of enterprises aim for unified data and AI platforms, only 13% have achieved this at scale.
The company also differentiated between Postgres adoption within hyperscaler services and the requirements of enterprises managing mixed environments. Many newer offerings incorporate the Postgres engine within cloud or lakehouse products; however, EDB contends that this alone does not satisfy governance and control needs, particularly for hybrid deployments and sovereignty constraints.
EDB’s platform strategy is built on a “hybrid-by-design” architecture, utilizing a single Postgres foundation for transactional, analytical, and AI workloads, while also emphasizing ongoing contributions to the upstream community.
Kevin Dallas, EDB’s CEO, described this transition as a movement from broad popularity to operational criticality in AI-centric environments. “The market has validated Postgres. The next challenge is making it enterprise-ready for AI at scale,” he stated. “EDB Postgres AI meets this demand by unifying transactional, analytical, and AI workloads on a sovereign platform designed for control, governance, and performance across any environment. That’s the difference between adopting Postgres in the mainstream and making it mission-critical for enterprise AI.”
Additionally, EDB has highlighted its publishing initiatives related to Postgres and AI architecture, including an O’Reilly guide titled Building a Data and AI Platform with PostgreSQL, which will be distributed to 25,000 attendees at Nvidia’s GTC event this month.
The introduction of the index coincides with major vendors expanding their managed Postgres offerings and Postgres-compatible services, while specialized companies develop tools focused on security, observability, and distributed deployments. EDB has committed to continuing its investment in upstream development and its roadmap for a Postgres-based platform as enterprise AI programs evolve from pilot phases to larger-scale implementations.
