OpenEverest

Overview

OpenEverest is open-source software for provisioning and managing databases, storage, and LLMs on Kubernetes. It is best for platform and database teams running infrastructure they control, rather than organizations looking for a managed database service. Its combination of provisioning, scaling, backup, and access controls makes it a broad operations platform, but it expects Kubernetes expertise.

Key features

Teams can create databases through a web interface, API, or CLI, selecting topology, version, and presets. That gives operators a consistent starting point while allowing configurations to vary by workload. A guided interface also covers storage classes, pod scheduling, external access, and database engine parameters, so it is useful for teams that need to shape deployments rather than accept fixed defaults.

Workloads named by the project include MySQL, MariaDB, MongoDB, PostgreSQL, ClickHouse, Microsoft SQL Server, TiDB, and Valkey; Apache Cassandra and KServe are also mentioned. Operators can add nodes, shards, or replicas and adjust CPU, memory, and storage as demand changes. This range of controls helps teams adapt deployments, but the product is not a substitute for operating the Kubernetes environment underneath.

Scheduled backups to S3-compatible storage, point-in-time recovery, and cloning an instance from a backup support recovery and repeatable environments. TLS, generated credentials, and role-based access control provide core security measures. Metrics can feed an existing observability stack without requiring a particular monitoring product, a practical advantage for teams that already have monitoring in place.

An interactive topology view covers proxies, pods, and containers, while in-app streaming and search provide access to Kubernetes pod logs. The Extension Hub catalogs database providers and plugins, and the Provider SDK gives teams a route to build their own. Community help runs through CNCF Slack, issues, discussions, and meetings; certified partners offer a commercial support route.

The project makes its components available under Apache 2.0. OpenEverest can run on Kubernetes in public or private clouds, bare metal, or on-premises, giving infrastructure teams deployment choice without changing the self-hosted model.

Pricing

OpenEverest is free: the OpenEverest plan costs nothing, with no licensing fees, and is 100% open source. Teams can deploy and customize it to their needs. There is no free trial because the product is offered as a free plan.

The plan includes self-hosted deployment, automated provisioning, high-availability management, and roles and permissions. Its stated supported database engines are PostgreSQL, MySQL, and MongoDB, narrower than the broader list of workloads named elsewhere by the project. There are no published seat or quota caps in the plan terms. The trade-off is operational ownership: teams provide and manage the Kubernetes infrastructure, while commercial support is available through certified partners.

Platforms

OpenEverest supports API, Linux, macOS, web, and self-hosted use. It runs on Kubernetes across public and private clouds, bare metal, and on-premises environments, making it suitable for teams with infrastructure preferences that differ across deployments.

Who it's for

OpenEverest suits platform engineers and database operators who want to provision multiple database workloads on Kubernetes, retain control over where they run, and integrate monitoring with an existing stack. It is less appropriate for teams without Kubernetes operating experience or those wanting a provider to take responsibility for hosting and infrastructure.

Version 1 is the current release. Version 2 is a developer preview, is not feature-complete, and is not intended for production use; production-minded teams should base their choice on v1.

Pros and cons

• Pros: UI, API, and CLI provisioning with configurable topologies and presets supports both repeatable deployments and tailored setups.
• Pros: Scaling controls, S3-compatible scheduled backups, point-in-time recovery, and backup-based cloning cover meaningful operational needs in one platform.
• Pros: Apache 2.0 licensing and no licensing fees leave teams free to deploy and customize the software.
• Cons: Self-hosted Kubernetes operation is required, so teams seeking managed service convenience should look elsewhere.
• Cons: Production use should remain on v1; v2 is explicitly a preview and not feature-complete.
• Cons: Community support is the direct project route; commercial support comes through certified partners.

Alternatives

Database Administration Tools is the broader category to explore when comparing database operations software.

Choose ClusterControl if a freemium alternative with a free forever Community plan for deployment, monitoring, performance advisors, and community support better fits your needs; its Self-serve plan is €250 a month.

YugabyteDB Anywhere is an option for teams evaluating a product with a free license lasting up to 32 consecutive calendar days and a commercial production license required for production use.

Trusted Postgres Architect is another free option for readers comparing database administration software.

Consider Neo4j if a free managed graph database plan is a closer fit.

Oracle Enterprise Manager may suit organizations already working with Oracle software licenses or support contracts, which include its base platform features.

EDB Postgres AI Hybrid Manager is an alternative for teams looking at EDB's paid enterprise Postgres offering, which includes Hybrid Manager.

Elastic Cloud Enterprise is another paid, self-hosted option, with licensing based on node count and used RAM.

ScyllaDB Manager is an alternative for readers comparing database management products.

Verdict

OpenEverest is a strong fit for teams already equipped to run Kubernetes and wanting a free, customizable way to provision and operate database services across infrastructure they control. Its breadth of workload controls, recovery tools, and integration flexibility are the main reasons to choose it. Look elsewhere if managed hosting or an alternative to Kubernetes operations is the priority, and keep production deployments on v1.