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EDB

FOSS4G NA Enterprise Automation Resilience: Red Hat AAP on EDB Postgres AI Documenting the PostgreSQL protocol with pg_protoexport EDB heads to PGConf.Brasil 2026, this is what we’ll be talking about! Powering Invisible Commerce at World Cup Speed By the Time Your Data Warehouse Answers, the Opportunity Is Gone Building a Sovereign, Intelligent Data Foundation with EDB Postgres® AI on IBM LinuxONE 5 Deep Dive Into EDB Postgres AI's Agentic Database Capabilities Jumping the gun: looking ahead at PostgreSQL 19 Meeting in Montreal: Developer U plan(ner) patches KubeCon + CloudNativeCon NA EDB Summer Academy Your Database Goes Down. What Does That Cost Your Business? The Oracle Renewal Is Coming. This Time, There’s a Way Out. One Dashboard to Rule Them All — and Finally Get Your Fridays Back Your Database Should Be Working While You Sleep Inside the Agentic Database: How EDB Turned Postgres Into a Self-Managing System The Architecture IS the Security: Building Sovereign AI Ops on Postgres with EDB Agent Factory EDB Named a Leader in Multimodel Data Platforms Evaluation PGDay Hyderabad The Role of AI in Data Analytics: Moving From Hype to High-Octane Utility Iga Januszek Mike Olifirowicz Meeting EU Data Sovereignty Requirements While Speeding-Up Innovation Inside EDB’s New Principles for Responsible AI: Sovereign, Governed, Trusted and Beneficial Built From the Data Up: A Trusted Foundation for the Agentic Era | EDB Postgres® AI Q2-2026 Release EDB Launches Agentic Database, Converged Analytics, and Governance, Bringing Sovereign AI Where Enterprise Data Already Lives Stop Spending Hours on What Should Take Minutes: A DBA's Guide to EDB Postgres AI’s Agentic Database Capabilities Making Agentic AI Smarter at the Architecture Level Charly Batista Buildfarm Query API Jaime Arze EDB PGD 6.4 Brings Distributed Consistency to Mission-Critical Postgres Data Layer Precedes Compute, GPU Capacity in Sovereign AI The pipeline tax is breaking enterprise AI at agent scale Sovereignty boosts enterprise AI returns, study finds As the Agentic Era Reshapes the Data Layer, Enterprises Build Their Sovereign Foundation on EDB Postgres® AI The Industrial Bank of Korea Bets Its Core Financial Infrastructure on EDB Postgres® AI Governing Agentic AI at Enterprise Speed Beyond the Latency Gap: Building Sovereign, Real-Time Agentic Applications on a Unified Postgres Estate Just Clear a Day: What We Learned Running an AI Security Hackathon How Shinhan EZ Insurance Built a Cloud-Native Core Banking System on EDB Postgres® AI PGConf.dev 2026: Our team’s sessions, working groups, and key takeaways EDB Releases PGD 6.4 with Quorum Commit, Bringing True Distributed Consistency to Mission-Critical Postgres PostgreSQL Conference Europe (PGConf EU) Cloud Native Denmark Data Stack Conf Community over Code Postgres Summit US PGDay Lowlands PGDay UK PGConf.Brasil Kubernetes Community Days (KCD) Melbourne Swiss PGDay Switchover and Switchback of CloudNativePG Replica Clusters in a Distributed Topology (K8s) - Part 2 Preparing Enterprises for the Agentic Workforce CWO Society Dinner for FSI From VMs to Kubernetes: A DBA's Journey in a Large Global Bank AI Data Pipeline Automation with AIDB Navigating Disruption: Architecting Your Sovereign Data Estate for Resiliency Sovereignty Is the New Operating System for Agentic AI, New MIT Technology Review Insights Report Finds Beyond the DBaaS Trap: Achieving Data Sovereignty with Kubernetes and CloudNativePG Red Hat Ansible Automates: Washington DC OpenShift Showcase: Toronto 소버린 AI 전문가와 함께하는 EDB 웨비나 コンテナ化の運用の壁をどう超えるか 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 コンテナ化の運用の壁をどう超えるか? 〜デプロイ・保守を自動化し、リソース負担を最小化する次世代DB運用戦略〜 A Day in the Life: Inside a Director of Sales Development Role at EDB Taller: Creación de una plataforma de análisis soberana a gran escala con EDB Postgres AI Workshop: Building a Sovereign Analytics Platform at Scale with EDB Postgres AI Building Real-Time, Data-Aware Intelligence with Postgres and the Model Context Protocol Yogesh Jain POSETTE How Euronext FX Built the Data Foundation for a New Era of Electronic Trading HOW2026 Data, Trust, and the New Rules of AI EDB at Red Hat Summit 2026: Building AI on Ground You Own A Day in the Life at EDB: Inside a Director of Customer Success Role at EDB PostgreSQL vs MySQL: Migration Without the Migraine DIVA (Dive into AI) 2026 Club des Utilisateurs Français d’EDB Postgres (CUFEP) 2026 EDB Delivers “Intelligence per Watt” Paradigm to Slash Token Consumption and Cut Data Center Emissions by up to 87% EDB Postgres AI on OpenShift cluster using CSI driver for Dell PowerFlex takashi eridai EDB Japan EDB Spearheads the Year of the Agentic Workforce with Industry Recognition, Ecosystem Momentum, and Continued Postgres® Leadership A Strategic Roadmap for Oracle to Postgres Migration at Ooredoo Deployment of PostgreSQL Replica Cluster via Barman Cloud Plugin on CloudNativePG - Part 1 Making AI Work for Your Business PGDay Armenia Ava Chawla Why the World’s Most Stable OS Demands a High-Performance Data Foundation MySQL to PostgreSQL Migration Chris Chiappone EDB Postgres® AI Delivers Superior Predictability vs. Cloud Data Warehouses in High-Concurrency Benchmark, Unveils Q1 Platform Updates to Power the Agentic AI Era The Agentic Confusion: Why I Keep My Postgres Control Plane Deterministic The Next Generation of EDB Postgres AI Factory: Built for the Agent Era Why Your Analytical Database Needs Multiple Clusters to Do What WarehousePG Does With One Driving the Next Digital Experience
EDB Postgres® AI: The Sovereign Data and AI Platform for the Agentic Enterprise
christina.ma · 2026-04-30 · via EDB

Enterprise spending on AI-capable database systems is projected to triple by 2028. For most organizations, scaling an agentic workforce means adopting a modern data platform. Is your infrastructure ready? 

Why the Legacy Data Stack Fails

Traditional infrastructure was built for a different time, when humans wrote queries, ran reports, and maintained databases as needed. Agentic AI fundamentally changes how your data is used. Agents, operating 24/7, make decisions on your behalf and take action in real time. They need fast access to accurate data, supported by a secure, reliable, and agile foundation for autonomous operations.

Most enterprises aren't equipped for this transition. Their data stacks are split across various environments and specialized tools, each requiring different security models and operational workflows. The result is engineering teams wasting hours on integration instead of building, and agents stalled by complex data pipelines before AI initiatives ever reach production.

EDB research reveals only 13% of organizations have successfully moved AI into production at scale. As more enterprises adopt the agentic-first approach, Gartner predicts over 40% of agentic AI projects at risk of cancellation by 2027 without the right foundation. The gap between organizations with the infrastructure to support agents at scale and those without will define who wins in the next decade.

A Platform Built for the Way Agents Actually Work

Your data foundation matters, and your AI will only be as capable and reliable as the platform it runs on. EDB Postgres® AI (EDB PG AI) is the sovereign data and AI platform for the agentic enterprise. It unifies transactional, analytical, and AI workloads in a single Postgres foundation, so agents, applications, and users can act on live operational data in real time, on infrastructure you fully own. Here is what that means in practice:

Sovereign by design. 

Over 68% of enterprise leaders report concern about data and AI sovereignty. But sovereignty is not just a security move; it's a strategic one. Organizations that prioritize AI and data sovereignty achieve up to 5x the ROI of their peers. EDB PG AI protects proprietary data in a resilient Postgres foundation and keeps it protected at every stage, including inferencing, where models come to your data rather than exposing it to external third-party models. Organizations gain complete ownership over their data and workloads without creating vendor lock-in or disrupting existing operations. With EDB PG AI, your data is your strongest asset, continuously protected and always portable. 

Unified workloads. 

EDB PG AI eliminates the integration work that stalls AI initiatives before they reach production. Every workload — from transactional to analytical to agentic AI — lives within a single operational model centered on Postgres. You gain unified observability with 200+ metrics and proactive recommendations across every environment, meaning you always know what is running, how it is performing, where to act, and how to optimize. With EDB PG AI, you can achieve seamless end-to-end management of your data and AI while lowering your total cost of ownership by 51% — and organizations that consolidate their analytics on EDB PG AI see up to 58% in cost savings versus cloud data warehouses. 

It’s not just current workloads that benefit. EDB PG AI breaks through the operational overhead of fragmented, specialized tools to build GenAI applications with ease, reducing complexity by 67%. A unified platform enables AI projects to reach production 3x faster than typical cloud stack deployments, without sacrificing the reliability your agentic workforce depends on. 

AI-ready data layer.

Most AI architectures require moving data out of operational systems before it becomes usable by a model or agent. EDB PG AI eliminates that overhead by making your operational data AI-ready by default, with native support for vector storage, semantic search, and the tooling to prepare data without manual ETL.

With EDB PG AI, your transactional data isn't siloed from your AI workloads — it powers them. The strongest data pipeline is the one you don't have to manage, or the one you don't have to build at all. EDB PG AI delivers both: automated AI data preparation handles the pipelines that need to exist, while zero-ETL interoperability across operational, historical, and unstructured data in the lakehouse eliminates the ones that don't. Advanced index support delivers 5–12x faster indexing for enterprise-scale, multi-agent systems, and GPU-accelerated analytics delivers up to 90x faster queries. Agents are only as trustworthy as the data they can access, and with EDB PG AI, that data is always accurate, always available, and always fast.

Enterprise-grade foundation. 

EDB PG AI provides the mission-critical foundation organizations need to scale innovation and standardize operations, without sacrificing stability, security, or governance. With EDB PG AI, you can instantly deploy up 99.999% high availability clusters to support always-on, globally distributed operations for workloads that can’t afford a second of unexpected downtime or latency. Governance is supported at the database layer, delivering the resilience and control that enterprises demand when performance, availability, and policy enforcement are non-negotiable. Since data is encrypted end-to-end while in transit and at rest, and access controls are enforced consistently across every workload and environment, every agent operates within your defined guardrails at all times.

Built on Postgres.

Over one in three of the world's largest enterprises are already running their data and AI strategies on Postgres. Built on decades of open source leadership, EDB extends that foundation and hardens it with enterprise-grade capabilities and support. With EDB PG AI, you get the innovation velocity of the world's most active database community and the freedom to deploy it in any environment — on-premises, in the cloud, or hybrid — on your terms. 

Fig 1

Figure 1. EDB PG AI unifies transactional, analytical, and agentic AI workloads in a single Postgres, with platform services necessary for data and AI management, deployable anywhere.

EDB PG AI in Action and at Scale

The demands of the agentic era have organizations demanding their own data and AI platforms, and EDB works with the world's leading organizations across financial services, technology, and beyond to deepen and accelerate that journey every day. 

Recently, Intesa Sanpaolo — Italy's largest banking group — started using EDB Postgres AI as their production-ready Postgres foundation. Serving approximately 13.9 million customers, Intesa Sanpaolo needed automated failover, validated deployment architectures, and consistent performance across on-premises, cloud, and hybrid environments.

"We needed databases that could operate at the same speed as our application platforms. That required an architecture built on automation, independence, and Kubernetes-native operations." — Stefano Morgano, Database Architect, Intesa Sanpaolo Group Services

With EDB Postgres AI and Redhat Ansible-based automation, Intesa Sanpaolo went from 10 shared clusters to 500+ PostgreSQL instances and obtained a standardized, scalable database built for continuous operations under their own governance framework. EDB PG AI makes it possible for organizations to move beyond automation as a tool, and toward automation as a trusted infrastructure for continuous, intelligent, autonomous operations. Read more about this customer story here

Ready to See What's Possible for Your Business?

The organizations that will win in the next decade are the ones consolidating their workflows, closing the gap between operational data and AI, and deploying agents without sacrificing sovereignty, governance, or control.

EDB Postgres AI was built for this exact moment; the platform that makes scaling the agentic workforce possible. Whether you're running on-premises, in the cloud, or across a hybrid environment, EDB Postgres AI meets you where you are, bridges the gap between your proprietary data and AI ambitions without disrupting your operations. 

Explore your configuration options and get started with EDB PG AI today. To dive deeper on our platform capabilities, please visit our website or reach out to our team.