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EDB Postgres AI
One open Postgres for transactional, analytical AND AI workloads — EDB Postgres AI is a multi-model, enterprise Postgres platform that brings AI to where your data lives, runs anywhere, and keeps your sovereignty (IBM-backed).
How it’s rated
Full scoreboard ↓Quick answer
EDB Postgres AI is EDB's flagship platform — a multi-model database platform, secure by default and resilient, that runs transactional, analytical and agentic-AI workloads on Postgres at scale, bringing AI to where your data already lives. It's the modern expression of what EDB does: take open-source PostgreSQL (one of the world's most popular and fastest-growing databases, which EDB is a top contributor to) and make it enterprise-grade and future-ready. ‘Multi-model’ means one platform handling multiple data types and workloads — the operational transactional database your applications run on, analytical workloads at petabyte scale (the WarehousePG lineage), and AI workloads (including vector search via pgvector and agentic AI) — rather than a sprawl of separate specialized databases. ‘AI to where your data lives’ is the key idea: instead of continuously copying operational data out to a separate vector or AI platform, you run the AI on the operational database itself, with full data sovereignty and open-source flexibility. Supporting Postgres v18 and enterprise-grade security, HA and support, and now backed by IBM, EDB Postgres AI is the platform for organisations standardising on Postgres for the transactional, analytical and AI era.
The EDB Postgres platform family
This page covers EDB Postgres AI — the platform. The rest of the portfolio:
Quick facts
30-second orientation- Product
- EDB Postgres AI — the platform
- Vendor
- EDB (EnterpriseDB) — part of IBM
- Type
- Multi-model Postgres database platform
- Runs
- Transactional + analytical + agentic-AI workloads
- Key idea
- Bring AI to where your data already lives
- Analytics
- Petabyte-scale (WarehousePG lineage)
- AI
- Vectors (pgvector) + agentic AI on your data
- Postgres
- Supports v18; secure & resilient by default
- The value
- One enterprise Postgres for the whole workload mix
- In India via
- TechBag — quotes, PoCs, GST invoicing, Tier-1 support
Understand the Postgres platform before you buy it
Most product pages skip this. We start here — so you buy a capability, not a buzzword.
What is EDB Postgres AI?
EDB's multi-model Postgres platform — running transactional, analytical and agentic-AI workloads on one open, enterprise Postgres, and bringing AI to where your data lives.
Secure and resilient by default; runs anywhere; IBM-backed.
A database sprawl vs one multi-model Postgres — the honest table
What consolidation actually replaces, dimension by dimension.
| Dimension | OLTP + warehouse + vector DB | EDB Postgres AI (multi-model) |
|---|---|---|
| Data stack | OLTP + warehouse + vector DB | One multi-model Postgres |
| AI architecture | Copy data to the AI | AI to where data lives |
| Data movement | Constant ETL / copying | Minimised |
| Sovereignty | Data in many systems | One place, in-house |
| Deployment | Cloud-locked service | Runs anywhere |
| Support | Community (no accountability) | Enterprise, IBM-backed |
| The bet | Proprietary DB | Open Postgres (industry default) |
| AI | Separate stack | pgvector + agentic, in Postgres |
Open, portable, enterprise Postgres — for single-cloud managed convenience, Aurora/AlloyDB are alternatives (with lock-in).
The five pieces of the platform
Vendors love diagrams; buyers need to know what they’re actually operating. Here’s the whole platform, demystified.
PostgreSQL Core
Built on open-source PostgreSQL — one of the world's most capable and popular databases, which EDB contributes heavily to — with enterprise-grade hardening on top.
Transactional Engine
The reliable, secure, resilient transactional Postgres database your applications run on — the operational heart of the platform.
Analytics at Scale
Petabyte-scale analytical capabilities (WarehousePG lineage) — query large data volumes without moving data to a separate warehouse.
AI Layer
AI capabilities — vector search (pgvector) and agentic AI — running on your operational data, so AI works where the data already lives.
Enterprise Assurance
Secure by default, resilient, and enterprise-supported (now IBM-backed) — the assurance mission-critical Postgres needs.
One agent on every machine, one console over all of them — modules attach without a second operational world.
Twelve capabilities. Core, enterprise, scale.
EDB Postgres AI runs your transactional, analytical and AI workloads on one open, enterprise Postgres — with AI where your data already lives.
Multi-Model Platform
One platform for multiple data types and workloads — transactional, analytical and AI — not a sprawl of specialized databases.
Transactional Workloads
The reliable, secure operational Postgres database your applications run on — the transactional core.
Secure by Default
Enterprise-grade security built in — the protection mission-critical data requires, from the start.
Resilient by Default
Built-in resilience and HA foundations — databases that stay up, extendable to active-active PGD.
Petabyte Analytics
Analytical workloads at petabyte scale (WarehousePG) — query big data without a separate warehouse.
Vector / pgvector
Vector search on your data — the foundation of AI and semantic workloads, in Postgres.
Agentic AI
Run agentic AI on your operational data — AI that acts where the data already lives.
AI to Your Data
Bring AI to the data, not the data to the AI — no constant copying, full sovereignty.
Postgres v18
Supports current PostgreSQL (v18) — the latest capabilities, enterprise-hardened.
Open-Source Flexibility
True open Postgres — runs anywhere (on-prem, any cloud, hybrid), no lock-in, full sovereignty.
Enterprise Support
EDB (IBM-backed) support and tooling — accountability for mission-critical databases.
Workload Consolidation
One Postgres platform for OLTP, OLAP and AI — fewer databases, less data movement, lower complexity.
Watch EDB Postgres AI in action
The multi-model Postgres platform, Oracle migration, and why Postgres won.
Introducing EDB Postgres AI
EDB's sovereign data-and-AI platform built on Postgres, introduced by EDB.
EDB Postgres AI: Enterprise-Grade Postgres
What makes EDB's Postgres enterprise-grade — HA, security, support.
Postgres Architect Answers AI & Data Questions
An EDB Postgres architect fields real AI and data questions.
Want a live, India-context walkthrough on your own fleet?
Book a guided demo →Stop copying data to the AI. Bring AI to the data.
Here’s what genuinely sets EDB Postgres AI apart from the alternatives.
One platform for OLTP, OLAP and AI
The modern data stack has sprawled: a transactional database here, a separate analytics warehouse there, a vector database for AI, each needing data copied into it. EDB Postgres AI is multi-model — one platform running transactional, analytical and agentic-AI workloads on Postgres. That consolidation means fewer databases to run, far less data movement (with its latency, cost and governance risk), and one place your operational, analytical and AI data lives together. Doing more on one capable Postgres platform is simpler and cheaper than orchestrating a sprawl of specialized systems.
Bring AI to where your data lives
The usual AI architecture copies operational data out to a separate vector database or AI platform continuously — adding latency, cost, complexity and data-governance risk (your sensitive data now lives in two places). EDB Postgres AI flips it: run the AI (vector search via pgvector, agentic AI) on your operational database itself, where the data already is. AI-to-your-data rather than data-to-the-AI is a simpler, more secure, more sovereign pattern — and as organisations increasingly apply AI to real business data, running it on the operational Postgres is genuinely compelling.
Enterprise-grade open Postgres
EDB Postgres AI is built on open-source PostgreSQL — which EDB is a top contributor to — and hardened for the enterprise: secure by default, resilient, supporting current Postgres (v18), with enterprise support and tooling now backed by IBM. So you get open Postgres's freedom and capability plus the security, resilience, assurance and accountability that mission-critical use demands. Open-source benefits without the ‘who do I call at 2am?’ problem of unsupported community Postgres.
Run anywhere, keep your sovereignty
Unlike cloud-locked managed Postgres services, EDB Postgres AI is true open Postgres that runs anywhere — on-premises, on any cloud, or hybrid — with full data sovereignty and no lock-in. For organisations that want portability, that must keep data in-country (relevant under DPDP and data-residency rules), or that simply refuse to be locked to one cloud, that run-anywhere openness is a real, strategic advantage over the hyperscalers' managed offerings.
Postgres is the safe long-term bet
PostgreSQL has surged to become one of the world's most popular and fastest-growing databases — the default choice for new applications, with a huge, open, vibrant ecosystem. Standardising on Postgres is a safe, forward-looking bet, and EDB Postgres AI is the enterprise-grade, AI-ready expression of it from the leading independent Postgres company (now with IBM behind it). You're building on the database the industry is converging on, made enterprise-ready.
The honest positioning
EDB Postgres AI is a strong, open, enterprise Postgres platform whose edge is multi-model consolidation, AI-on-your-data, and run-anywhere openness. The cloud giants' managed Postgres (Aurora, AlloyDB) offer convenience within their clouds; Oracle offers depth at high cost and lock-in. EDB's differentiators are openness, portability, sovereignty, Oracle-migration capability and enterprise Postgres leadership. For a cloud-native single-cloud shop, the hyperscaler service may suffice; for open, portable, enterprise Postgres, EDB. TechBag scopes it.
The numbers behind the platform
What your EDB Postgres AI journey looks like
Workload scoping
Your transactional, analytical and AI workloads, and your openness/sovereignty needs. TechBag scopes it free.
Platform PoC
Stand up EDB Postgres AI; run a transactional workload; test analytics and pgvector/AI on your data. Prove multi-model.
Consolidation design
Design consolidating workloads onto the platform; scope security, HA (PGD) and support; plan any data-movement reduction.
Platform steady state
OLTP, OLAP and AI on one open, sovereign, enterprise Postgres. TechBag models it (and licensing) in INR/GST.
Trusted across regulated industries in 100+ countries
The review scoreboard
Modelled on Gartner Peer Insights structure. *Counts and breakdowns are illustrative pending verified review collection.
Quick poll — what’s driving your evaluation?
Talk to an advisor“One Postgres platform for our transactional, analytical AND AI workloads — we consolidated a sprawl of specialized databases and stopped copying data everywhere. Multi-model is the real simplification.”
“Running AI on our operational data — not copying it out to a separate vector DB — was the deciding factor. Full sovereignty, less complexity, AI where the data already is.”
“Open Postgres that runs anywhere — on-prem and across clouds — with no lock-in. Under our data-residency rules, that sovereignty mattered enormously.”
“Enterprise-grade with IBM behind it, but still true open Postgres — open-source freedom plus the support and accountability mission-critical use needs. Best of both.”
“We standardised on Postgres for everything new — EDB Postgres AI made it enterprise-ready and AI-ready. Building on the database the industry is converging on.”
“For a single-cloud shop the hyperscaler's managed Postgres is convenient — but we're multi-cloud and sovereignty-conscious, so EDB's openness won. Scope cloud-lock vs portability.”
“Petabyte analytics on the same platform as our operational data — no separate warehouse, no ETL sprawl. Query big data where it lives.”
“pgvector and agentic AI on our real business data opened up use cases we couldn't justify when it meant standing up a whole separate AI stack.”
Where everyone sits — the grids
Analyst firms bury this view behind paywalls, and G2 retired its Grid. So here’s TechBag’s synthesis of the the Postgres platform market — tap any vendor to see why it sits where it does.
TechBag Enterprise Postgres Grid
Execution strength vs product vision — the classic market map, minus the paywall.
Multi-model, open, enterprise Postgres — this page.
Openness × Enterprise Capability
The grid nobody publishes — open-source openness (no lock-in) vs enterprise capability (multi-model, AI, HA, support).
Multi-model + open + AI — the corner it fills.
Positions are TechBag’s illustrative synthesis of public review-platform data and vendor documentation — not a reproduction of any analyst graphic. Verify before relying on it.
EDB Postgres AI vs the field
Oracle, community Postgres and the cloud Postgres services — honest lanes; the edge is open, multi-model, AI-ready enterprise Postgres.
| Dimension | EDB Postgres AI | Community Postgres | Oracle | AWS Aurora / AlloyDB | Separate OLTP+OLAP+vector |
|---|---|---|---|---|---|
| Type | Multi-model enterprise Postgres | Open, capable | Deep, proprietary | Managed Postgres(-compat) | Best-of-breed each |
| AI on your data | pgvector + agentic | pgvector (DIY) | Some | pgvector-ish | Separate vector DB |
| Run anywhere / sovereignty | On-prem/any cloud/hybrid | Anywhere (DIY) | Anywhere, locked | One cloud | Depends |
| Enterprise support/assurance | EDB (IBM-backed) | Community | Oracle | Cloud provider | Per vendor |
| Best fit | Open, portable, enterprise Postgres for the whole workload mix | DIY, non-critical | Oracle incumbents | Single-cloud, managed | Best-of-breed maximalists |
Which Postgres approach fits you?
Honest fit signals — because the fastest way to lose your trust is to pretend one product wins every scenario.
Choose EDB Postgres AI if…
- ✓You want one multi-model Postgres for OLTP, OLAP and AI
- ✓AI-on-your-data (not data-to-the-AI) matters
- ✓Run-anywhere openness and sovereignty are priorities
- ✓You want enterprise Postgres with real support (IBM-backed)
Community Postgres if…
- ✓Non-critical workloads where you can self-support
Oracle if…
- ✓You're deeply Oracle-invested — or migrate off via EDB Advanced Server
Aurora / AlloyDB if…
- ✓You're single-cloud and want managed convenience (accepting lock-in)
Separate OLTP+OLAP+vector if…
- ✓You want best-of-breed each and can run the complexity
What does a database sprawl cost you?
Drag the sliders (count databases/workloads scaled here as instances; IT-hour cost as loaded rate). Estimates assume ~4 hours per workload per year of data-movement, integration and multi-system operational overhead, with ~60% removed by consolidating onto one multi-model Postgres — the reduced complexity, data-movement and licensing (plus AI-on-data value) are the wins. Illustrative.
Loaded cost = salary + overheads per productive hour. Illustrative only — your TechBag quote models actual device counts and modules.
Three ways to consume it
EDB Postgres AI prices by subscription / per-core. TechBag models it vs a database sprawl or cloud-locked service, in INR/GST.
EDB Postgres AI
Best for the platform
- Multi-model (OLTP+OLAP+AI)
- AI on your operational data
- Secure & resilient by default
+ Openness
Best for portability
- Runs on-prem / any cloud / hybrid
- Full data sovereignty
- No cloud lock-in
+ Enterprise
Best for mission-critical
- IBM-backed support
- Extendable to PGD HA
- TechBag scopes the mix
Buy it for less — TechBag pricing beats list
Whatever the list prices above, TechBag negotiates a significantly better deal — with GST-compliant INR invoicing and local support. Ask us for your discounted quote.
Get an India-ready quote
Tell us your device counts and current tools — we’ll model it against what you spend today.
The 8 questions to ask every enterprise Postgres vendor
Take this into your next vendor call — including ours.
Confirm it runs your transactional, analytical AND AI workloads on one platform — not a sprawl of databases.
Test pgvector/agentic AI on your operational data — AI where the data lives, not copied out.
Confirm it runs on-prem, any cloud and hybrid — open Postgres, no lock-in, full sovereignty.
Verify secure-by-default and resilience — extendable to active-active PGD for mission-critical HA.
Confirm current Postgres (v18) support and the enterprise hardening on top.
Test analytical workloads at scale — query big data without a separate warehouse.
Confirm EDB (IBM-backed) enterprise support and accountability for mission-critical use.
Model subscription/per-core TCO vs a database sprawl or cloud-locked service — TechBag quotes it in INR/GST.
Questions buyers ask
Ready to evaluate EDB Postgres AI?
Scope a platform PoC (prove multi-model and AI-on-your-data), or let a TechBag advisor plan your Postgres consolidation — in INR/GST.
Stats, ratings, review counts and pricing are illustrative and sourced from public materials; verify before purchase.