EDB Showcases Postgres AI for Lakehouse, App Modernization

ByRicardo

EDB Postgres® AI unifies knowledge for AI as lakehouse adoption and open knowledge architectures grow to be aggressive necessities within the AI period

EnterpriseDB (“EDB”), the main sovereign AI and knowledge firm, introduced new improvements for knowledge lakehouse architectures and software modernization throughout Supermicro’s annual Open Storage Summit (OSS). EDB highlighted the rise of AI in turning lakehouse adoption and open knowledge platforms into aggressive necessities for enterprises in search of agility, extensibility, and sovereign management.

But most organizations usually are not there in the present day. In response to EDB’s 2025 Sovereignty Issues analysis, solely 13% of enterprises worldwide have efficiently deployed agentic AI at scale. The bulk stay constrained by fragmented knowledge estates and monolithic methods not designed for in the present day’s hybrid, AI-ready environments.

This hole underscores why unified lakehouses and open platforms have shifted from non-compulsory initiatives to aggressive necessities, particularly the place governance and compliance necessities are most stringent, throughout markets from North America and Europe to Asia-Pacific and the Center East.

On the Summit, EDB Director of Product Administration for {Hardware} Techniques Simon Lightstone outlined the ways in which Postgres is turning into the common knowledge basis to deal with these challenges. His two classes targeted on:

  • Knowledge lakes and lakehouses for enterprise AI: A dialogue of the ways in which Postgres integrates with Apache Iceberg and Delta codecs, utilizing the Lakehouse Connector in EDB Postgres AI (EDB PG AI), to unify transactional, analytical, and vector knowledge for tiered storage and real-time AI.
  • Enterprise apps modernization for AI: An illustration of how Postgres allows enterprises to refactor legacy methods into scalable, cloud-native functions, leveraging extensibility, excessive availability, and observability to speed up innovation.

“EDB’s give attention to Postgres as a common knowledge platform for lakehouses and trendy functions positions it as a key enabler for organizations navigating the twin challenges of exploding knowledge volumes and the pressing demand for AI-driven innovation,” mentioned Devin Pratt, analysis director at IDC.

The OSS included specialists from EDB, AMD, Lightbits, and Supermicro. Current testing between the businesses highlights this scale benefit with EDB PG AI, which achieved almost a million read-only transactions per second and ~700,000 transactions per second on combined 90/10 workloads throughout 12 clusters. These throughput numbers present that enterprises can run EDB PG AI at scale in multi-tenant environments with out compromising efficiency.

Efficiency benchmarks reinforce this momentum. Working EDB PG AI on Supermicro servers delivers as much as 6x greater efficiency versus group Postgres, and it gives as much as 90% higher worth than cloud databases. These outcomes validate how enterprises can obtain the dimensions, effectivity, and value financial savings required to assist transactional workloads. Extra benchmarks confirmed EDB PG AI’s superior efficiency for agentic and generative AI workloads, exhibiting 3x quicker supply of AI-enabled functions in comparison with DIY cloud options.

By leveraging Postgres as a common knowledge retailer, EDB Postgres AI delivers:

  • Unified AI, analytics, and transactions: A single platform for operational, analytical, and vector knowledge—making AI integration seamless
  • Future-proof modernization: Confirmed experience in refactoring functions and enabling cloud-native deployments
  • Finish-to-end observability: Superior instruments to handle, monitor, and optimize total PostgreSQL estates at scale
  • Open supply dedication: Transparency, interoperability, and freedom from vendor lock-in

“The rise of AI is driving unprecedented demand for optimized infrastructure, particularly for inference and real-time workloads that require high-performance compute, networking, and storage,” mentioned Lightstone. “What enterprises need is an clever, cloud-native platform that works in all places—on premises, in hybrid environments, and within the cloud—and that integrates simply with the instruments they use in the present day, together with Postgres. That is precisely what EDB PG AI delivers.”

EDB’s management at OSS builds on latest bulletins with Supermicro and NVIDIA to speed up enterprise adoption of AI on open, sovereign platforms. Earlier this yr, EDB additionally deepened its collaboration with NVIDIA and Supermicro to place Postgres AI because the common knowledge basis for enterprise AI—providing unmatched efficiency, effectivity, and sovereign management throughout cloud, hybrid, and on-premises environments.

The submit EDB Showcases Postgres AI for Lakehouse, App Modernization first appeared on AI-Tech Park.

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