EnterpriseDB (EDB) showcased its innovative EDB Postgres AI platform at the Supermicro Open Storage Summit 2025, emphasizing its role in unifying data lakehouse architectures and modernizing applications for AI-driven enterprises. Announced on August 27, 2025, EDB’s advancements address the growing need for scalable, open, and sovereign data solutions to power intelligent applications.
EDB highlights Postgres AI as a universal data platform at Supermicro OSS.
Only 13% of enterprises have scaled agentic AI, per EDB’s 2025 research.
Integrates with Apache Iceberg and Delta for unified AI and analytics.
Achieves up to 6x higher performance than community Postgres.
Enables 3x faster delivery of AI-enabled applications vs. DIY cloud solutions.
Supports cloud-native app modernization with high availability, observability.
At the Supermicro Open Storage Summit, EDB’s Director of Product Management for Hardware Systems, Simon Lightstone, detailed how EDB Postgres AI addresses enterprise challenges in AI adoption. With only 13% of enterprises successfully deploying agentic AI at scale, per EDB’s 2025 Sovereignty Matters research, fragmented data estates and outdated systems hinder progress. EDB Postgres AI bridges this gap by serving as a unified platform for transactional, analytical, and vector data, integrating with Apache Iceberg and Delta formats via its Lakehouse Connector.
EDB’s session on data lakes and lakehouses highlighted how EDB Postgres AI unifies operational and analytical workloads for real-time AI. The platform’s Lakehouse Connector enables seamless integration with open table formats, supporting tiered storage and vector data for AI applications. This approach ensures enterprises can handle exploding data volumes while maintaining governance and compliance, critical in regions like North America, Europe, Asia-Pacific, and the Middle East.
EDB demonstrated how Postgres enables enterprises to refactor legacy systems into scalable, cloud-native applications. Leveraging extensibility, high availability, and advanced observability, EDB Postgres AI accelerates innovation by streamlining application modernization. “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.
Recent testing with Supermicro, AMD, and Lightbits showcased EDB Postgres AI’s scalability, achieving nearly one million read-only transactions per second and ~700,000 transactions per second on mixed workloads across 12 clusters. Compared to community Postgres, it delivers up to 6x higher performance and 90% better value than cloud databases. For AI workloads, it provides 3x faster delivery of agentic and generative AI applications compared to DIY cloud solutions.
EDB’s advancements build on partnerships with Supermicro and NVIDIA, positioning Postgres AI as a foundation for enterprise AI across cloud, hybrid, and on-premises environments. “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. EDB Postgres AI offers unified analytics, future-proof modernization, end-to-end observability, and open-source commitment, ensuring flexibility and freedom from vendor lock-in.
EDB’s leadership at the Supermicro Open Storage Summit underscores its role in driving AI-ready data architectures. By unifying lakehouses and modernizing applications, EDB Postgres AI empowers enterprises to achieve scalability, efficiency, and sovereign control in the AI era.
EnterpriseDB (“EDB”), the leading sovereign AI and data company, empowers enterprises to achieve unparalleled performance, efficiency, and control through its Postgres-based data and AI platform. With a commitment to open-source innovation, EDB delivers scalable, cloud-native solutions that integrate seamlessly with modern enterprise environments, supporting transactional, analytical, and AI-driven workloads across hybrid, cloud, and on-premises deployments.
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