Multi-Cloud Deployments

Deploy databases across any Kubernetes infrastructure with no vendor lock-in.

Cloud Provider Independence

OpenEverest runs on any conformant Kubernetes cluster. Your databases are not tied to a specific cloud managed service, giving you the freedom to move workloads wherever your business needs them.

Any Kubernetes, Anywhere

AWS EKS, Google GKE, Azure AKS, bare-metal, on-premises. If it runs Kubernetes, OpenEverest works.

Consistent Experience

The same UI, API, and CLI regardless of the underlying infrastructure. No cloud-specific tooling to learn.

Data Sovereignty

Keep data in the geography and infrastructure you control, meeting compliance requirements without compromise.

Modular, Multi-Engine Architecture

OpenEverest treats database engines as plugins. Today it ships with support for PostgreSQL, MySQL, and MongoDB, but the architecture is designed so any Kubernetes operator can be added without changing the core platform.

PostgreSQL, MySQL, MongoDB Today

Production-grade support for the three most popular open-source database engines, each managed by a dedicated Kubernetes operator.

Bring Your Own Operator

The plugin system lets you integrate additional database operators. The core platform stays the same; only the operator layer changes.

Unified Control Plane

One API, one UI, one CLI for every engine. Teams do not need to learn a different tool per database.

Community-Driven Expansion

New engine support is driven by community demand. Contributions are welcome, and the plugin interface is documented and stable.

Private, Self-Hosted Deployments

OpenEverest is not a SaaS product. You own the entire stack: the platform, the operators, and the data.

Full Infrastructure Control

Deploy on your own hardware, your own VPC, or air-gapped environments. No external dependencies.

Enterprise-Ready Security

RBAC, TLS, encryption at rest are standard in every deployment, not an upsell.

Ready to get started?

Deploy OpenEverest on any Kubernetes cluster and provision your first database in minutes.