PandaStack vs Qovery for Cloud Deployments

Orchestration vs. hosting

Qovery and PandaStack both make cloud deployment friendlier, but they're built around different assumptions. Qovery is, at its core, an orchestration and environment-management layer that deploys into *your* cloud accounts (AWS, GCP, Scaleway, and more). PandaStack hosts your workloads on its own multi-region GKE and gives you a single push-to-deploy experience.

If you've used Heroku and missed it, both feel familiar. The difference is where your code actually runs.

The BYOC model

Qovery's strength is connecting to your existing cloud account and managing infrastructure-as-deployments there. You keep ownership of the underlying resources, your VPC, and your cloud relationship. For teams that *must* run inside their own accounts — compliance, existing commitments, internal networking — this is the right shape.

PandaStack takes the opposite approach: there's no cloud account to connect. The platform owns the infrastructure. You trade direct cloud ownership for zero infrastructure setup.

Environment management

Qovery is particularly good at environments — ephemeral preview environments per pull request, cloning environments, and managing dev/staging/prod across your accounts. If your team's workflow revolves around spinning up full-stack preview environments for every PR, Qovery is purpose-built for that and does it well.

PandaStack keeps environment handling lighter: deploy history (10d free / 30d Pro / 90d Premium), rollbacks, and per-project configuration. That's sufficient for many teams, but if rich per-PR ephemeral environments are central to how you work, give Qovery serious weight here.

Deploy flow

PandaStack:

git push origin main
# framework auto-detected -> rootless BuildKit build in ephemeral K8s Job
# -> Artifact Registry -> Helm deploy -> live, with DATABASE_URL injected if a DB is attached

Qovery connects your repo and deploys into your cloud, exposing environment and infrastructure controls. Both abstract raw Kubernetes; Qovery keeps you closer to your own infrastructure, PandaStack keeps you further from any infrastructure.

Databases

PandaStack bundles managed databases: PostgreSQL (14.x, 16.x), MySQL (5.7, 8.x), MongoDB, Redis via KubeBlocks, with scheduled + manual backups and an auto-wired DATABASE_URL. Create, attach, done.

Qovery, deploying into your account, commonly uses your cloud provider's managed database service. That's great if you want RDS-grade features and already operate there; it's more configuration if you just want a database connected to your app immediately.

Logs, metrics, and observability

PandaStack provides live build and app logs backed by self-hosted Elasticsearch, plus server-side metrics and analytics via ClickHouse (no client SDK to install). Because it owns the stack, observability is built in.

Qovery surfaces logs and integrates with your cloud's monitoring; in a BYOC model you often bring or wire up your own observability stack. More flexibility, more assembly.

Pricing

PandaStack:

No separate cloud bill. Free tier: 5 web services, 5 static sites, 1 database, 100GB bandwidth, 300 build minutes.

With Qovery you pay Qovery's platform fee plus your cloud spend. For larger orgs with cloud commitments this can pencil out well; for small projects, a bundled free tier is simpler. See Qovery's pricing page for current numbers.

Honest recommendation

Choose Qovery if:

• You must run inside your own cloud account(s).
• Per-PR ephemeral preview environments are core to your workflow.
• You want orchestration over infrastructure you own.

Choose PandaStack if:

• You don't want to connect or manage a cloud account.
• You want managed databases auto-wired into apps.
• You want built-in logs, metrics, and analytics.
• You want a real zero-setup free tier.

My take

Qovery is the better tool when the requirement is "deploy nicely into the cloud account we already have." PandaStack is the better tool when the requirement is "I don't want a cloud account — just host it and wire the database." Both are honest answers to different questions.

References

• [Qovery documentation](https://hub.qovery.com/)
• [Qovery pricing](https://www.qovery.com/pricing)
• [GKE documentation](https://cloud.google.com/kubernetes-engine/docs)
• [KubeBlocks documentation](https://kubeblocks.io/docs)
• [ClickHouse documentation](https://clickhouse.com/docs)

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If you'd rather skip the cloud account and just ship, PandaStack's free tier hosts your app plus a managed database with live logs included. Try it at [dashboard.pandastack.io](https://dashboard.pandastack.io).