Cloud storage decision

Firebase Blaze

Build a simple self-hosted replacement for core app backends is realistic for a technical user, but you lose Google-backed global managed infrastructure, seamless integrations, and AI console features—making full parity impractical.

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SubscriptionCustom pricing
Initial build80 hours
Monthly upkeep8 hours + $25
Evidence2/3 runs agree

Open-source builds that already do this

Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.

What a replacement has to do

  • Provide backend services for a modern web/mobile app (auth, data storage, file storage, serverless logic, and hosting) without Firebase-managed APIs.

What it still won’t have

  • Managed global scale and operational SLA handling
  • Deep Google Cloud integrations (BigQuery, Gemini, Analytics) out of the box
  • Built-in Firebase security rules and Console UX
  • Free unified quotas and streamlined console experience
  • Managed AI integrations (Gemini in Firebase) and agent tooling

What remains hard

  • Brand trustDesigned for the complete app development lifecycle, backed by Google, and trusted by millions of businesses around the world.
  • Infrastructure at scaleAccelerate your development with fully managed infrastructure, powered by Google Cloud, so you can focus on what matters most.
Read the build prompt

First-year cost

No published price

Firebase Blaze does not publish a price we could read, so there is nothing to compare against. What building costs is below.

Money you would actually spend

Keep paying

Subscription price × seats × 12

Build it

AI build APIs + hosting

Time you would spend

What you would spend

What we assumed

The verdict above measures whether you could build it. This one is only about money.

Runnable build prompt

Not run yet
Build a minimal self-hosted Firebase-like backend using: PostgreSQL (or MongoDB) for data, MinIO for object storage (S3 API), Keycloak for authentication, Nginx + Cloudflare CDN for hosting, and a small serverless runner (Cloud Run or self-hosted OpenFaaS) for functions. Implement: (1) REST/HTTP APIs for auth (signup/login, JWT issuance) and user sessions, (2) document-store CRUD endpoints with basic indexes, (3) signed upload/download URLs for object storage, (4) deploy static SPA to CDN with HTTPS, (5) HTTP-triggered functions integrated with DB and storage, (6) a WebSocket or SSE service for realtime updates, and (7) automated backups, basic monitoring, and role-based access control. Out of scope: multi-region global replication, advanced Firebase security rules DSL, managed Gemini/AI integrations. Include error handling, input validation, and unit/integration tests.
How we checked4 sources · 2/3 runs agreed · evidence score 57

How the score was reached

  • Partly verdict base52
  • An open-source build was found+5
  • 4 cited sources+3
  • Hard moats found in the evidence-3
  • Evidence score57

The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.

How scoring works →

Cited sources · 4

Every page the run actually retrieved.

Integrity checks

What held up, and what did not.

! 2 of 3 runs agreed; the verdict is the majority✓ Citations limited to fetched pages! 2 moats quoted from the page