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Comparison9 min read2026-06-25

PandaStack vs Scalingo

Scalingo is a European, GDPR-focused Heroku-style PaaS. We compare it fairly with PandaStack across deployment, databases, data residency, and pricing for EU and global teams.

Ajay Kumar
Ajay Kumar
Founder & DevOps, PandaStack

A European PaaS meets an all-in-one developer cloud

Scalingo is a French PaaS that many European teams choose specifically for data sovereignty: EU-based infrastructure, GDPR alignment, and a Heroku-like git push experience. PandaStack is an all-in-one developer cloud on multi-region GKE covering containers, static sites, managed databases, edge functions, and cronjobs. They overlap on the core PaaS promise but differ on emphasis.

Deployment experience

Both platforms deliver the classic PaaS workflow:

git push  # build + deploy automatically

Scalingo builds via buildpacks (with Dockerfile support) and runs containers; it's deliberately Heroku-compatible in spirit, which makes migrations from Heroku straightforward.

PandaStack auto-detects Node/Python/Go and more via buildpacks, or builds any Dockerfile using rootless BuildKit in ephemeral Kubernetes Job pods, pushing images to Google Artifact Registry and deploying via Helm. Both get you from commit to running app without manual infra steps.

Databases

DatabaseScalingoPandaStack
PostgreSQLYes (addon)Yes (14.x, 16.x)
MySQLYes (addon)Yes (5.7, 8.x)
MongoDBYes (addon)Yes
RedisYes (addon)Yes
Auto-wiringConnection vars on addonDATABASE_URL injected
BackupsYesScheduled + manual

Both offer the common managed databases. Scalingo's are provisioned as addons with EU hosting; PandaStack's run via KubeBlocks on GKE with scheduled and manual backups and automatic DATABASE_URL injection when created alongside an app.

Data residency and compliance

This is Scalingo's distinguishing strength. For teams with strict EU data-residency or sovereignty requirements, Scalingo's French/EU hosting and GDPR posture are a deliberate, well-communicated selling point ([Scalingo](https://scalingo.com/)). If regulatory residency is a hard constraint, that matters a lot.

PandaStack runs on multi-region GKE with Cloudflare DNS. It offers multi-region infrastructure, but if your requirement is specifically "data must stay on EU-sovereign infrastructure with a French provider," Scalingo addresses that need directly. I'd rather be upfront than overclaim here.

Breadth of platform

Where PandaStack pulls ahead is scope. Beyond container apps and databases, it includes:

  • First-class static site hosting (any framework) on a CDN with microVM builds.
  • Edge functions on every tier.
  • Native cronjobs.
  • Server-side metrics and analytics via ClickHouse (no client SDK), and live logs via Elasticsearch.

Scalingo is more tightly focused on the runtime-plus-addons PaaS model. If you want one platform to also host your marketing site, run edge logic, and schedule jobs, PandaStack consolidates more.

Scaling and cost efficiency

PandaStack free-tier apps use KEDA scale-to-zero in a gVisor sandbox on spot nodes — idle apps cost nothing, with a cold start on wake. Paid compute tiers run from Free (0.25 CPU / 512 MB) up to C2-2XCompute (8 CPU / 16 GB), with compute- and memory-optimized families. Scalingo scales containers horizontally and vertically with its own sizing; it does not center on scale-to-zero in the same way.

Pricing

Scalingo uses container + addon pricing typical of EU PaaS providers ([Scalingo pricing](https://scalingo.com/pricing)). PandaStack uses flat tiers: Free ($0, includes a database, cron, edge functions), Pro ($15/mo), Premium ($25/mo), Enterprise (custom). For hobbyists and small teams, PandaStack's free tier with a bundled database is a notable advantage; for EU-sovereignty-first teams, Scalingo's positioning may justify its model.

Decision guide

Choose Scalingo if: EU data residency and a French/GDPR-aligned provider are core requirements, and you want a focused, Heroku-compatible PaaS.

Choose PandaStack if: you want a broader all-in-one platform (containers + static + edge + cron + databases), scale-to-zero cost efficiency, auto-wired databases, and flat pricing with a free tier.

PandaStack is newer with a growing ecosystem; Scalingo has a clear, mature niche in European hosting. Both honor the git push ethos.

References

  • [Scalingo — Official site](https://scalingo.com/)
  • [Scalingo — Pricing](https://scalingo.com/pricing)
  • [Scalingo — Documentation](https://doc.scalingo.com/)
  • [KubeBlocks documentation](https://kubeblocks.io/)
  • [KEDA — Kubernetes Event-driven Autoscaling](https://keda.sh/)

Need containers, static sites, databases, edge functions, and cron in one platform? PandaStack's free tier includes them all — start at [dashboard.pandastack.io](https://dashboard.pandastack.io).

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