pgEdge Distributed Postgres (VM Edition)
pgEdge Distributed Postgres (VM Edition) includes a command line interface (CLI) that simplifies creation and management of a multi-master distributed pgEdge Postgres cluster in your own data center or cloud account.
For self-hosted and on-prem Installations, the CLI offers the flexibility to simply and quickly deploy distributed multi-master clusters with containers/VMs or CLI/API installers and tooling. For web and AI applications that rely on Postgres for low latency and high availability, the CLI running on a Cloud provider can ensure your applications are highly available and globally responsive. You can seamlessly deploy the CLI on:
- Akamai (opens in a new tab)
- AWS
- Azure
- Equinix (opens in a new tab)
- Google Cloud
... and more.
Containers and VMs Container images are designed to run on any modern container platform, including:
- Docker
- Kubernetes
For those who prefer to self-manage, the CLI (opens in a new tab) offers all the features of pgEdge Distributed Postgres for use in any data center or provider cloud account. The CLI is suitable for both development and production environments, with enterprise support plans available.
Professional Grade Support, 24/7
If your organization needs professional grade support, pgEdge offers support and management subscriptions. You get all of the benefits of pgEdge products, plus:
- 24/7 support by phone, email or ticketing system
- Architecture reviews, performance reviews, and guidance
- Early access to all software updates and new features
- A dedicated technical account manager (TAM)
- Fully licensed for production usage (on a per vCPU basis)
For more information about support for pgEdge Distributed Postgres (VM Edition), reach out to pgEdge (opens in a new tab).
Learn More
pgEdge distributed Postgres uses logical replication to distribute changes amongst database nodes. pgEdge developed the Spock extension for this purpose. Learn more about Spock at the pgEdge blog site. (opens in a new tab)
Connect with the pgEdge Community (opens in a new tab) Join the pgEdge Discord server here (opens in a new tab).
Visit our open source projects on GitHub (opens in a new tab)