Keep the open source agent. Add the Enterprise control plane.
Testkube Enterprise adds the governance, managed results, cross-cluster visibility, and AI features teams need when testing scales.
Open source users: Connect the agent you already run to Testkube Enterprise as-is. Nothing to rip out.
Know when you need more than Testkube Open Source.
It's time to scale up when:
Your state of quality lives in spreadsheets, screenshots, and chat threads instead of a dashboard.
You run hundreds of tests a day, and finding the one that failed takes longer than fixing it.
Multiple teams share one Testkube setup, and there is no teams, access groups, or audit trail to keep order.
You run Testkube Open Source agents in several clusters, and every new environment means another one-off setup to maintain.
Your test suite has grown too large to run on one agent, and you need parallel execution and sharding to keep up.
You maintain scripts that connect test execution to your CI/CD pipelines, and that glue breaks whenever either side changes.
You add the control plane. You keep control.
Testkube Enterprise does not move your testing off your infrastructure.
Keep your tools
Playwright, k6, Cypress, JMeter, Postman, and custom executors. No changes. No rewrites.
Keep your data
Logs, artifacts, and results stay inside your environment. You decide what the control plane sees.
Run it your way
Self-host the control plane on-premises or air-gapped infrastructure, or let Testkube host it. The choice is yours.
What you get with each edition
| Testkube Open-Source | Testkube Enterprise | |
|---|---|---|
| Test at release velocity | ||
| Test execution as native Kubernetes jobs | ||
| CLI and API access | ||
| Parallel execution, sharding, matrix runs | ||
| Advanced triggering and scheduling | Limited | |
| AI test creation PREVIEW | ||
| Release with confidence | ||
| Centralized dashboard and test history | ||
| Insights, analytics, trend reporting | ||
| Testkube AI Agents (optimization, failure analysis, and more) | ||
| Testkube MCP Server for AI | ||
| Own your testing stack | ||
| Any testing framework: Playwright, k6, Cypress, JMeter, Postman, and more | ||
| Runs in your own clusters, data stays put | ||
| Multi-cluster management from one control plane | ||
| RBAC, teams, SSO | ||
| Deployment | Single cluster | On-prem / air-gapped / hosted |
| Support | Community | Premium + SLA |
Teams running Kubernetes at scale already made this move
Saved 30 DevOps hours per week by automating testing and visibility, and retired their weekly deployment meeting.
Moved to Kubernetes-native testing at scale on Testkube, improving software quality and CI/CD efficiency.
Unified QA, Dev, and SRE teams on a single platform.
Open source gets you started. Enterprise helps you scale it.
See test health at a glance
Dashboards, advanced analytics, and trend reporting give every team a shared view of test health, so you don’t have to collect results and rebuild reports by hand.
Scale test execution beyond CI
Scalable execution and centralized control let you run more tests without overloading general-purpose CI runners, so you don’t have to trade faster feedback for higher CI costs.
Diagnose failures faster
Advanced visibility, artifacts, and AI-assisted analysis help teams understand what broke and why, so you don’t have to dive across logs, clusters, and pipelines.
