EDB’s Postgres AI Platform Redefines Sovereign, Scalable Enterprise AI—No DBA Required
EnterpriseDB (EDB) is doubling down on its Postgres-powered mission with EDB Postgres AI, a platform that promises to transform how enterprises build, scale, and secure AI applications—without surrendering control to hyperscalers or stitched-together stacks.
Launched this week, EDB PG AI introduces a unified data and AI control plane designed to help businesses go from GenAI experimentation to production at record speed—with built-in governance, observability, and open-source DNA.
In a market obsessed with data sovereignty, EDB’s bet is bold: Postgres can be your foundation for not just analytics and transactions—but also intelligent, AI-powered decision-making.
“We’re giving enterprises full control over how and where they build their AI future,” said Kevin Dallas, CEO of EDB. “It’s not just about sovereignty—it’s about choice, performance, and simplicity.”
Why It Matters: The AI Adoption Gap Is Real
Despite the hype, only 13% of enterprises have successfully scaled agentic AI, according to EDB’s May 2025 research. The few who have? They’re seeing up to 227% higher ROI than their lagging peers.
What’s stopping the rest? A mess of disconnected systems, steep learning curves, compliance headaches, and costly infrastructure choices. EDB PG AI aims to solve those pain points with turnkey tools, built-in security, and radically simplified development workflows.
Red Hat and Supermicro are already on board. The former brings OpenShift AI integration for containerized model control. The latter supplies scalable, rack-level compute muscle to fuel AI workloads.
Capabilities: From Code to Control in Days
Low-Code/No-Code AI Pipeline Builder
Business users and developers alike can deploy intelligent pipelines in five lines of code—or just click through a GUI. The platform auto-syncs embeddings with live source data, keeping the AI knowledge base fresh without the devops burden.
Powered by NVIDIA + GenAI Microservices
EDB PG AI taps into NVIDIA NIM microservices and NeMo Retriever capabilities, handling vector embeddings and multi-modal data ingestion with ease. AI stays local, secured, and fast—fueling sovereign AI initiatives that don’t depend on public LLM endpoints.
Control at Scale: From One Database to Hundreds
Unified Hybrid Management + Observability
No more command-line gymnastics. The platform offers real-time visibility across massive Postgres estates with 200+ built-in metrics, intelligent recommendations, and intuitive dashboards. Performance tuning and issue resolution are now 5x faster—and you don’t need a team of DBAs to get there.
Security That’s Built-In, Not Bolted On
TDE encryption, container hardening (via Iron Bank), and row-level access controls ensure compliance with PCI DSS, SOC 2, and future regulations. Data redaction and audit logging enhance breach resilience—critical for regulated sectors.
Performance Benchmarks That Matter
EDB isn’t shy about showing its math:
- 6x better TCO and 30% faster performance vs. SQL Server
- Up to 150x faster NoSQL performance vs. MongoDB
- Up to 4x faster NoSQL performance vs. MySQL
McKnight Consulting’s third-party testing confirms it: enterprises using EDB PG AI shaved 67% off their AI stack complexity, delivered projects 3x faster, and cut maintenance costs by 38% compared to DIY AWS approaches.
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