We are thrilled to announce the general availability of the AlloyDB Omni Red Hat RPM orchestrator , that brings production-ready security, resiliency, and low-downtime operations to PostgreSQL workloads in your enterprise environments. This GA milestone builds on the foundation laid during our preview release and launches alongside AlloyDB Omni version 18. 0 to bring cloud-like database automation directly to your virtual machines and bare-metal servers with Google’s AI capabilities. As of this GA release, AlloyDB Omni can be deployed in four modes to suit your requirements.
Visit AlloyDB Omni documentation for more information. Container with Kubernetes operator for Highly Available enterprise deployment With RPM orchestrator for Highly Available enterprise deployment For many use cases, a managed cloud database service is the simplest and most cost-effective option. However, there are scenarios where you may choose to run a PostgreSQL database yourself, on or off the cloud.
The AlloyDB Omni RPM deployment is built for organizations that need the performance of the cloud with the control of local, non-containerized infrastructure, with use cases including: Workload Modernization: AlloyDB Omni is more than 2X faster for transactional workloads and can deliver up to 100X faster analytical queries than standard PostgreSQL L , revitalizing existing infrastructure without a full migration. Regulated Environments: For industries with strict data residency and security requirements, the RPM orchestrator provides the necessary tools like SELinux and local audit logging to stay compliant.
Edge and On-Premises Deployment: Deploying at the edge or on bare-metal servers allows for low-latency processing and disconnected operation. AI-Ready Infrastructure: You can provision database clusters for AI integrations, using AlloyDB AI capabilities such as vector search for modern generative AI applications directly on-premises. The AlloyDB Omni RPM orchestrator offers flexible deployment models tailored to your organization's specific operational requirements—whether your focus is maximizing performance, scaling read throughput, or ensuring robust high availability (HA).