vs.
Move beyond Daytona.
Daytona gives agents a sandbox. Qovery gives them a sandbox AND a path to production.
From legacy platform management
to agentic Kubernetes.
Daytona is excellent at spinning up isolated sandboxes for AI agents to execute code. But code that stays in a sandbox doesn't ship. Qovery covers the full lifecycle - from sandbox to staging to production - with the governance enterprises require.
How they stack up.
A side-by-side look at what each platform delivers - including the AI capabilities that define modern infrastructure.
Qovery adapts to your stack,
not the other way around.
While Daytona stops at the sandbox, Qovery takes your agents from code to production.
One platform, no handoffs
No more "write in Daytona, deploy somewhere else." Agents write, test, and deploy in the same platform. The deployment pipeline is built in.
Everything in your cloud
Unlike Daytona's split architecture, Qovery runs entirely in your cloud account. Control plane, sandboxes, production workloads - all behind your firewall.
Governance that scales with agents
As you go from 1 agent to 100, Qovery's RBAC, cost controls, and audit trails scale with you. Every agent is scoped, every action is logged.
We set up Remote Development Environments on Qovery so anyone - engineers, but also non-technical team members - can spin up a fully configured stack on demand. For Claude Code, agents work on tasks unattended for hours inside an isolated sandbox, then surface a PR when done.
Sandboxes are necessary. But sandboxes alone are not sufficient.
Qovery is built for 2026.
Your AI agents don't just need a place to execute code. They need environments with secrets, networking, databases, and audit trails. They need a path from experiment to production. Qovery provides the full infrastructure stack - sandbox to shipped.