OpenEverest review
A broad, self-hosted control plane for teams managing multiple database engines.
Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
OpenEverest is an open-source database platform for developers, platform teams, and operators running databases on Kubernetes. It provides a unified web UI, API, and CLI for provisioning and managing database clusters across cloud, on-premises, bare-metal, and other Kubernetes infrastructure. Teams can work with PostgreSQL, MySQL, MongoDB, MariaDB, and ClickHouse through a single management layer, with role-based access control for database and platform resources.
The pricing model is open source, with a free plan. Its feature set covers guided provisioning, high-availability topologies, operator-managed failover, scheduled and on-demand backups, point-in-time recovery, horizontal and vertical resource scaling, and online storage expansion. That makes OpenEverest a fit for teams that want database operations organized around repeatable provisioning and lifecycle management rather than separate tools for each engine. The platform also offers TLS-secured API and client connections, advanced configuration, and in-app Kubernetes pod log streaming and search.
Its ecosystem supports Percona Monitoring and Management, Prometheus, Grafana, Datadog, Slack, PagerDuty, and webhooks. Database monitoring includes PMM, metrics, and query analytics, giving operations teams several ways to connect database visibility with broader observability and alerting workflows. OpenEverest is strongest where Kubernetes is already part of the operating model and where mixed-engine management matters. Teams seeking a fully hosted database service, or a tool outside a Kubernetes-centered deployment model, should look elsewhere. Likewise, organizations running engines beyond its supported providers may find its scope too narrow.
OpenEverest pros and cons
- Where it wins
- Supports PostgreSQL, MySQL, MongoDB, MariaDB, and ClickHouse
- Automates provisioning, failover, backups, recovery, and scaling
- Combines web, API, CLI, monitoring, RBAC, and integration support
- Where it doesn't
- Requires a Kubernetes-based deployment model
- Self-hosted operation places infrastructure responsibility on your team
- Management is centered on five supported database engines
OpenEverest fact sheet, pricing and score →
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