WILMINGTON, DE — EnterpriseDB (EDB) unveiled new advances in data lakehouse architectures and application modernization during Supermicro’s annual Open Storage Summit, emphasizing the central role of Postgres in enabling enterprises to manage AI-era demands for agility, scalability, and compliance.
EDB framed its updates against a stark backdrop: while AI adoption has accelerated globally, its 2025 Sovereignty Matters research found that only 13 percent of enterprises have deployed agentic AI at scale. Most remain hampered by fragmented data systems and outdated architectures ill-suited to hybrid and AI-ready environments.
At the event, EDB highlighted how its Postgres-based solutions are being positioned as a universal data foundation for enterprises seeking to unify data, modernize applications, and maintain sovereignty over their systems. Simon Lightstone, EDB’s director of product management for hardware systems, presented on two major themes: integrating Postgres with Apache Iceberg and Delta formats to consolidate transactional, analytical, and vector data in lakehouse environments, and modernizing legacy enterprise applications into cloud-native, scalable systems built for AI workloads.
According to IDC research director Devin Pratt, EDB’s emphasis on Postgres “positions it as a key enabler for organizations navigating the dual challenges of exploding data volumes and the urgent demand for AI-driven innovation.”
Recent performance testing underscored this positioning. In collaboration with AMD, Lightbits, and Supermicro, EDB Postgres AI achieved nearly one million read-only transactions per second and about 700,000 mixed transactions across 12 clusters, demonstrating multi-tenant scalability without sacrificing performance. Benchmarks showed the platform delivering up to six times the performance of community Postgres and up to 90 percent better value than major cloud databases. For agentic and generative AI workloads, EDB reported threefold faster delivery of AI-enabled applications compared to do-it-yourself cloud deployments.
EDB PG AI is designed to consolidate operational, analytical, and vector data into a single platform, while offering modernization pathways for enterprises to refactor applications, deploy cloud-native systems, and maintain observability across PostgreSQL estates. The company stressed its ongoing commitment to open-source principles, 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,” Lightstone said. “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. This is exactly what EDB PG AI delivers.”
With AI adoption accelerating but enterprise readiness still uneven, EDB is positioning its Postgres-based platform as a unifying solution capable of handling both traditional data workloads and emerging AI applications at scale.
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