EDB Postgres^® AI unifies data for AI as lakehouse adoption and open data architectures become competitive requirements in the AI era

EnterpriseDB (“EDB”), the leading sovereign AI and data company, announced new innovations for data lakehouse architectures and application modernization during Supermicro’s annual Open Storage Summit (OSS). EDB highlighted the rise of AI in turning lakehouse adoption and open data platforms into competitive requirements for enterprises seeking agility, extensibility, and sovereign control.

Yet most organizations are not there today. According to EDB’s 2025 Sovereignty Matters research, only 13% of enterprises worldwide have successfully deployed agentic AI at scale. The majority remain constrained by fragmented data estates and monolithic systems not designed for today’s hybrid, AI-ready environments.

This gap underscores why unified lakehouses and open platforms have shifted from optional initiatives to competitive requirements, especially where governance and compliance requirements are most stringent, across markets from North America and Europe to Asia-Pacific and the Middle East.

At the Summit, EDB Director of Product Management for Hardware Systems Simon Lightstone outlined the ways that Postgres is becoming the universal data foundation to address these challenges. His two sessions focused on:

• Data lakes and lakehouses for enterprise AI: A discussion of the ways that Postgres integrates with Apache Iceberg and Delta formats, using the Lakehouse Connector in EDB Postgres AI (EDB PG AI), to unify transactional, analytical, and vector data for tiered storage and real-time AI.
• Enterprise apps modernization for AI: A demonstration of how Postgres enables enterprises to refactor legacy systems into scalable, cloud-native applications, leveraging extensibility, high availability, and observability to accelerate innovation.

“EDB’s focus on Postgres as a universal data platform for lakehouses and modern applications positions it as a key enabler for organizations navigating the dual challenges of exploding data volumes and the urgent demand for AI-driven innovation,” said Devin Pratt, research director at IDC.

The OSS included experts from EDB, AMD, Lightbits, and Supermicro. Recent testing between the companies highlights this scale advantage with EDB PG AI, which achieved nearly one million read-only transactions per second and ~700,000 transactions per second on mixed 90/10 workloads across 12 clusters. These throughput numbers show that enterprises can run EDB PG AI at scale in multi-tenant environments without compromising performance.

Performance benchmarks reinforce this momentum. Running EDB PG AI on Supermicro servers delivers up to 6x higher performance versus community Postgres, and it provides up to 90% better value than cloud databases. These results validate how enterprises can achieve the scale, efficiency, and cost savings required to support transactional workloads. Additional benchmarks showed EDB PG AI’s superior performance for agentic and generative AI workloads, showing 3x faster delivery of AI-enabled applications compared to DIY cloud solutions.

By leveraging Postgres as a universal data store, EDB Postgres AI delivers:

• Unified AI, analytics, and transactions: A single platform for operational, analytical, and vector data—making AI integration seamless
• Future-proof modernization: Proven expertise in refactoring applications and enabling cloud-native deployments
• End-to-end observability: Advanced tools to manage, monitor, and optimize entire PostgreSQL estates at scale
• Open source commitment: Transparency, interoperability, and freedom from vendor lock-in

“The rise of AI is driving unprecedented demand for optimized infrastructure, especially for inference and real-time workloads that require high-performance compute, networking, and storage,” said Lightstone. “What enterprises want is an intelligent, cloud-native platform that works everywhere—on premises, in hybrid environments, and in the cloud—and that integrates easily with the tools they use today, including Postgres. This is exactly what EDB PG AI delivers.”

EDB’s leadership at OSS builds on recent announcements with Supermicro and NVIDIA to accelerate enterprise adoption of AI on open, sovereign platforms. Earlier this year, EDB also deepened its collaboration with NVIDIA and Supermicro to position Postgres AI as the universal data foundation for enterprise AI—offering unmatched performance, efficiency, and sovereign control across cloud, hybrid, and on-premises environments.

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.

View source version on businesswire.com: https://www.businesswire.com/news/home/20250828857289/en/