vs.

The Vercel experience, on infrastructure you own.

Vercel set the standard for agent-friendly deployment. Qovery brings that standard to infrastructure you own.

The shift

From their cloud account
to yours.

Vercel earned its reputation. Push a branch, get a preview URL, ship in seconds - and every coding agent knows how to use it. The constraint is where it runs. Vercel is Vercel's infrastructure, shaped around frontend and serverless workloads. Your cluster, your managed databases, your VPC, and your compliance boundary sit somewhere else. Qovery gives agents the same one-command experience against the cloud account you already own.

The Vercel approach

It runs on their infrastructure, not yours

Your application, its traffic, and its data sit on infrastructure Vercel operates. For teams under HDS, DORA, or a data residency mandate, that is the end of the conversation before the DX matters.

Shaped for frontend and serverless workloads

Vercel is exceptional at web frontends, SSR, and functions. Long-running workers, stateful services, arbitrary containers, and Helm-managed components live on a Kubernetes cluster you run separately.

The rest of your stack is a different platform

Databases come from marketplace partners, your cluster is elsewhere, and your secrets are in a third system. Agents end up operating across several control planes with several audit trails.

Governance stops at the deploy boundary

Team roles and deployment protection cover what Vercel owns. They do not scope what an agent can do to the database, the cluster, or the cloud account underneath.

The Qovery approach

The same one-command deploy, on your cloud

Agents deploy through the Qovery Skill or MCP Server and the workload lands in your own AWS, GCP, Azure, or Scaleway account. Preview environments per pull request included.

Whole stack, not just the web tier

Frontends, APIs, background workers, cron jobs, Helm charts, and Terraform modules - deployed as one multi-service environment on Kubernetes you own.

Managed databases in your own account

PostgreSQL, MySQL, MongoDB, and Redis provisioned in container mode for development or managed mode such as AWS RDS for production. Your account, your backups, your residency.

One governed boundary for every agent

RBAC, deployment stages, cost controls, and a single audit trail spanning humans and agents. MCP access is read-only by default; write access is an explicit, separate opt-in.

Detailed comparison

How they stack up.

A side-by-side look at what each platform delivers - including the AI capabilities that define modern infrastructure.

Qovery

Vercel

Primary purpose

Whole-stack application platform on infrastructure you own.

Frontend cloud for web applications, SSR, and serverless functions.

Deployment

Git push or agent prompt. Preview environments, deployment stages, rollback.

Git push. Preview deployments and instant rollback. Best-in-class DX.

Application model

Any container: apps, workers, cron jobs, Helm charts, Terraform modules.

Web frontends, SSR, serverless and edge functions.

Managed databases

PostgreSQL, MySQL, MongoDB, Redis - provisioned in your cloud account.

Provided through marketplace partners, hosted outside your account.

Hosting model

Your AWS, GCP, Azure, or Scaleway account (BYOC), on your Kubernetes.

Vercel-operated infrastructure. No bring-your-own-cloud.

Governance

Org and environment RBAC, deployment stages, cost controls, unified audit.

Team roles and deployment protection within the Vercel platform.

Agent interface

8 agent skills, MCP Server, Terraform provider, REST API, CLI.

CLI, REST API, and an MCP server for the Vercel platform.

Production hosting

Kubernetes-native, autoscaling, managed TLS - in your VPC.

Global edge network and serverless runtime, fully managed.

Compliance posture

Workloads never leave your VPC. SOC 2, HIPAA, GDPR, DORA, HDS-ready.

Platform certifications apply, but your workloads run on their infrastructure.

Talk to an engineer

No lock-in

Qovery adapts to your stack,
not the other way around.

Nothing here says stop using Vercel. It says your regulated workloads and your backend were never going to live there.

Keep the workflow, change the account

Git push to deploy, a preview environment per pull request, and rollback in one command. The difference is that the cluster, the database, and the data are in your cloud account.

One control plane for the whole stack

Frontend, API, workers, databases, and secrets operated through a single governed API, so an agent does not have to coordinate four platforms and four audit trails.

Standard Terraform and Kubernetes underneath

Qovery generates standard qovery/qovery Terraform and native Kubernetes manifests in your account. Stop using Qovery and your infrastructure keeps running.

Frequently asked questions

Qovery vs Vercel

What is the best Vercel alternative that runs on my own cloud?

Qovery is a Vercel alternative that deploys into your own AWS, GCP, Azure, or Scaleway account instead of onto managed infrastructure. You keep the git-push-to-deploy workflow and preview environments, and you additionally get managed databases, background workers, and Kubernetes workloads inside your own VPC.

Can Vercel run on my own AWS or GCP account?

No. Vercel runs your applications on infrastructure that Vercel operates. Enterprise plans add private networking options for reaching your own backend, but the application workloads themselves stay on Vercel. Qovery installs into your cloud account, so the control plane operates infrastructure you own and your workloads never leave your VPC.

How do AI coding agents deploy to Qovery instead of Vercel?

Install the Qovery agent skills with a single command: curl -fsSL https://skill.qovery.com/install.sh | bash. The skills follow the Agent Skills open standard and work with Claude Code, Cursor, OpenAI Codex, Gemini CLI, OpenCode, VS Code Copilot and 30+ other tools. Your agent can then deploy applications, provision databases, and create preview environments in your own cloud.

Can I migrate from Vercel to Qovery?

Yes. The qovery-onboard agent skill includes a documented migration path for Vercel and Netlify projects. It analyses your codebase, generates a Dockerfile if one is missing, provisions the databases and environment variables your application needs, and deploys it to a cluster in your own cloud account.

Is Qovery cheaper than Vercel?

The pricing models are structurally different rather than directly comparable. Vercel bills for platform usage on its own infrastructure. With Qovery you pay your cloud provider directly for the compute you use, which means committed-use and reserved-instance discounts apply. Qovery customers also report around 45% lower cloud spend from automatic shutdown of idle ephemeral environments. Ask us for the methodology behind that figure.

Built for what's next

Every coding agent already knows how to deploy to Vercel.
Qovery is built for 2026.

That is exactly the problem for a regulated team. The default path for an agent is a platform your auditor has never approved, holding data that is not allowed to leave your account. Qovery gives the agent the same single-command experience - one prompt, whole stack, live - inside the boundary you already defend. Read-only by default, scoped by the RBAC your engineers already have, and every action attributed to the human who asked for it.

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