EDB Postgres AI Hybrid Manager#
EDB Postgres AI Hybrid Manager (HM) is the control plane for Postgres, sovereign AI, and analytics workloads across Kubernetes-based infrastructures. It provides a consistent and unified way to provision, operate, and monitor PostgreSQL clusters—whether you’re deploying on-prem, in the cloud, or across hybrid environments.
Hybrid Manager enables end-to-end data workflows from database deployment to AI, analytics, all governed within your infrastructure.
Key capabilities#
Area |
Description |
|---|---|
Database provisioning |
Deploy highly available PostgreSQL or Distributed Postgres clusters using UI, templates, or declarative manifests. |
AI integration |
Run sovereign GenAI pipelines , serve models with KServe, and build AI knowledge bases governed by your infrastructure. |
Analytics |
Offload cold data to Delta Lake or Iceberg , query with Postgres syntax, and enable hybrid transactional/analytical processing. |
Monitoring and observability |
Integrated dashboards using Prometheus, Grafana, and Loki provide deep visibility into query health, resource usage, and system alerts. |
Security and access management |
Integrate with identity providers, define RBAC for projects and clusters, and manage secure access to your databases and services. |
Integrated solutions#
Hybrid Manager unlocks core functionality across the EDB Postgres AI ecosystem:
**AI Factory** – Build and run GenAI workloads using private data
**Analytics** – Enable open-format analytics with Iceberg, Delta Lake, and tiered offloading
**Migration** – Accelerate adoption of Postgres with in-platform migration tools
**Monitoring** – Built-in observability stack with Kubernetes and database insights
**Cluster Lifecycle** – Templates, upgrades, HA settings, and restore workflows
Next steps#
Use Hybrid Manager