One platform, full control#
HM brings together the infrastructure, data, and application layers required to support modern Postgres-based data platforms:
Sovereign AI — Build and serve AI-powered workloads using your own infrastructure, with full control over GPU resources and GenAI pipelines.
Postgres-native analytics — Offload to open data formats like Iceberg and Delta Lake while preserving Postgres compatibility and control.
Operational excellence — Simplify backup, scaling, monitoring, and cluster lifecycle management for Postgres clusters.
Whether deployed in the cloud or on-premises, Hybrid Manager ensures observability, governance, and resilience across your data and AI stack.
What you can do#
Area |
Capabilities |
|---|---|
Database provisioning |
Deploy highly available PostgreSQL or Distributed Postgres clusters using the console, 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 |
Use the integrated dashboards that leverage Prometheus, Grafana, and Loki to obtain 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. |
Database migration |
Migrate schemas and data from external databases (Oracle, self-managed Postgres) to HM-managed clusters. Leverage integrated services for migration and schema assessment, data transfer (snapshot), and continuous replication (streaming) to achieve minimal downtime migrations. |
Start here#
Install Hybrid Manager on AWS EKS → Red Hat OpenShift (RHOS), Rancher RKE2, EKS, or GKE.
Sovereign Data and AI Factory (Hardware Appliance) → Sovereign Data and AI Factory hardware
Using Hybrid Manager → backup/restore, monitoring, migrations, cluster creation, multi-DC deployment and more
AI Factory Architecture on Hybrid Manager → sovereign GenAI pipelines, model serving, and retrieval systems
Analytics Concepts in Hybrid Manager → Delta Lake, Iceberg, tiered storage, and lakehouse patterns