Ankra vs Devtron

A platform you host, or a platform that is hosted

Devtron is a broad open source Kubernetes platform. Its Apache-2.0 core gives you a dashboard for clusters and apps, Kubernetes-native CI, and GitOps through Argo CD. It now describes itself as an AI-native Kubernetes management platform, with an Agentic SRE, cost views and backups in its Freemium and Enterprise plans, and approvals and cluster creation as Enterprise features. You normally install it on a cluster and operate it yourself; Enterprise plans also offer a SaaS managed option.

Ankra covers much of the same delivery ground and adds the layer underneath. It builds the cluster on the provider you choose, and its control plane is a hosted service in the EU, so there is no platform installation for your team to upgrade. Enterprise customers who need the platform on their own infrastructure can add a self-hosted setup, including air-gapped, as listed on the pricing page.

Devtron suits a team that wants an open source platform it runs itself. Ankra suits a team that wants the cluster, the delivery path and the operating work handled as a service.

Where the clusters come from

Devtron connects existing clusters with a server URL and token or a kubeconfig. Creating clusters is an Enterprise feature that is documented for EKS. Enterprise also adds isolated clusters for air-gapped sites, where Devtron packages manifests and images as a Helm chart for you to install.

Ankra builds kubeadm or k3s clusters on Hetzner, OVHcloud, UpCloud, DigitalOcean, AWS EC2 and Proxmox VE, creates EKS, GKE, AKS, DOKS, OVHcloud MKS and UpCloud UKS, and imports any conformant cluster. Scaleway Kapsule and Ankra Cloud Kubernetes, a control plane run on Ankra’s own EU cloud, are also available in closed beta. On clusters it builds, Ankra handles upgrades, node groups, power schedules, node autoscaling on the five public clouds and rolling OS security patching.

Building and releasing

This is where the products are closest. Devtron runs CI inside Kubernetes, scans with Trivy or Clair across images, manifests and source code, and can block a deploy by vulnerability severity. Its Enterprise approval policies cover deploys and changes to templates, ConfigMaps and Secrets. In-pipeline approvals are more mature in Devtron than in Ankra today. Devtron’s 2.2.1 release in November 2026 moved its code to the Argo CD v3 libraries and added RBAC for external Argo CD and Flux apps.

Ankra Pipelines run tests and rootless builds in your own cluster, add Semgrep source checks and Checkov configuration checks to Trivy, and a policy gate decides which image may be published. With deploy provenance turned on, an application refuses images the gate did not sign, and a merge train on GitHub tests each pull request as the exact commit it will merge. Applications generate the build files, or keep the CI your repository already has, and deploy every successful build. Applications work with GitHub repositories, and some documented pipeline stage kinds, including in-pipeline approval, do not run yet.

For platform add-ons, Devtron relies on Argo CD. Ankra uses its own deployment engine, so there is no Argo CD to operate. Stacks order add-ons by dependency, and stack profiles carry them to new environments.

Security, cost and backups

Devtron’s scanning works at build and deploy time. Ankra’s Security Center also watches what is already running, listing vulnerabilities across every cluster and ranking them by CISA’s Known Exploited Vulnerabilities catalogue and FIRST’s EPSS scores.

Devtron’s pricing table includes cost visibility, right-sizing recommendations and backup and restore in its Freemium and Enterprise plans, but not in the open source editions. Ankra’s Cloud Cost estimates spend from list prices per namespace, stack and project, and reprices the whole cluster on other providers. Its backups write volumes and database dumps to a bucket you own.

How the AI works

Devtron’s AI assistant explains failures using a model you supply. Its Agentic SRE correlates deployments, logs and events to find a root cause and can roll back a faulty deployment using pre-approved runbooks. Its AI runbooks run only after an approval, and that approval can be scoped to a cluster, a period or granted indefinitely.

Ankra’s AI Insights analyses every firing alert and can also run scheduled health scans. The AI Gateway reviews pull requests on GitHub, GitLab and Bitbucket Cloud, and on GitHub Ankra AI can fix a failing pull request on its own branch. The assistant drafts stacks from a description. In-product AI writes wait for a person by default, and autonomy controls set how far it may go. You can bring your own model here too.

When to choose Ankra, and when to choose Devtron

Choose Ankra when you want the cluster built on the provider you choose, delivery and day-two operations in one hosted product, and no platform installation of your own to run.

Choose Devtron when

• an open source core you host yourself is a requirement
• you already run Argo CD or Flux and want a dashboard and CI around it
• multi-stage approvals inside the pipeline are needed today
• a free plan for one cluster up to 50 vCPU, with no feature lock, covers your needs

Compare the work that remains

1. Create the foundation. Note who builds the cluster and who upgrades the platform itself.
2. Ship a release. Include tests, scans, an approval and a rollback.
3. Upgrade an add-on. Note how dependencies are checked and how a failed upgrade is undone.
4. Investigate a vulnerability. Find every affected running workload.
5. Compare total cost. Include subscriptions, the cluster that hosts the platform and the time to operate it. Ankra’s free tier includes 30 worker vCPU; beyond that Startup costs €0.01 per worker vCPU-hour (about €7.20 a month), and your provider bills the servers.

See Devtron’s pricing and Ankra’s pricing.

Reviewed 9 November 2026 against Devtron 2.2.1 and Devtron’s documentation and pricing. Product scope and plans can change.