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.
Why Hybrid Manager?
Modern data platforms require more than just database provisioning. They need to support:
- Kubernetes-native scalability and orchestration
- Resilient, high-availability deployments
- AI and GenAI integration
- Postgres-native analytics with open formats
- Governance, observability, and access control
Hybrid Manager was created to meet these demands. It extends Kubernetes capabilities with built-in Postgres expertise, making it easier to operate stateful workloads without sacrificing the flexibility of containerized infrastructure.
Key capabilities
| Area | Description |
|---|---|
| Database provisioning | Deploy highly available PostgreSQL or distributed Postgres clusters using a graphical portal, 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. |
Supported environments
Hybrid Manager runs on Kubernetes and supports these common enterprise platforms:
- Amazon EKS
- Google GKE
- Red Hat OpenShift (RHOS)
It supports both cloud-native and on-premises architectures, allowing you to build sovereign, compliant, and flexible data infrastructures.
Integrated solutions
Hybrid Manager unlocks core functionality across the EDB Postgres AI ecosystem. It consists of:
- 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 – Monitor operations using built-in observability stack with Kubernetes and database insights.
- Cluster lifecycle – Create templates, perform upgrades, configure HA settings, and restore data.
Learn more
Get started
Architecture
Overview of core components and design principles that enable Hybrid Manager to orchestrate and manage Postgres clusters across varied environments.
Database types
Overview of the different database types supported by Hybrid Manager, including their key characteristics and use cases.
Postgres distributions
The different flavors of Postgres distributions supported in Hybrid Manager.
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