Supabase vs Firebase vs PlanetScale: Best Backend for Indie Developers in 2026 ⏱️ 11 min read

Bywhale

Three years ago, the default backend choice for indie developers was Firebase — fast to set up, generous free tier, battle-tested. Today that’s no longer obvious. Supabase has matured into a legitimate full-stack backend, PlanetScale redefined what serverless MySQL looks like, and Firebase has evolved (though not always in directions solo developers appreciate). After shipping production apps on all three, here’s where each one actually earns its place.

Supabase: The Postgres-Native Full Stack

Supabase is the easiest platform to recommend to developers who already think in SQL. You get a real PostgreSQL database — not a proprietary data store, not a document model with SQL-ish syntax, but actual Postgres with all its extensions. PostGIS for geospatial, pg_vector for AI embeddings, pg_cron for scheduled jobs. The database is yours, and you can migrate off Supabase to any Postgres host at any time with a standard dump.

The free tier is genuinely useful: 500MB storage, 50,000 monthly active users for auth, 2GB bandwidth, and 500MB edge function invocations. I’ve run two side projects at low traffic entirely on the free tier for over a year without hitting a wall.

Supabase Auth covers email/password, OAuth providers (Google, GitHub, Discord), magic links, and phone OTP out of the box. Row Level Security (RLS) policies let you define authorization rules directly in the database — a user can only read their own rows, a query pattern that’s both secure and performant because it runs at the database layer, not in application code.

The weak spots: Supabase Edge Functions are fast to deploy but the cold start story isn’t as polished as Vercel or Cloudflare Workers. Real-time subscriptions via Postgres changes work well for moderate-traffic apps but can require tuning under heavy write load. The dashboard has improved dramatically but still has rough edges in the query editor and migration tooling.

Pricing beyond the free tier starts at $25/month (Pro plan), which unlocks daily backups, 8GB database storage, and email support. For a solo developer running a paid SaaS, that’s reasonable.

Firebase: Mature but Showing Its Age

Firebase has been around since 2011 and acquired by Google in 2014. That longevity is both a strength and a liability. The ecosystem is vast — SDKs for every platform, deep Google Cloud integrations, battle-tested at enormous scale. If you’re building a mobile app and need a backend that just works with minimal custom infrastructure, Firebase’s React Native and Flutter SDKs are still the smoothest experience available.

Firestore, Firebase’s flagship database, is a NoSQL document store built for real-time sync. For apps where the data model maps naturally to documents — chat messages, user profiles, activity feeds — Firestore is genuinely excellent. Queries are fast, the offline SDK handles sync transparently, and the real-time listener model is elegant for live-updating UIs.

The friction starts when your data wants to be relational. Firestore has no JOINs. Aggregations are limited. Complex queries that would be a single SQL statement require either client-side merging or denormalized data structures that double your write operations. I’ve seen Firebase apps accumulate technical debt precisely here — the schema that seemed clean at 10K users becomes unmaintainable at 500K users because everything was denormalized for query performance.

Firebase pricing has also become harder to predict. The Spark (free) plan is genuinely limited — 1GB Firestore storage, 50K daily reads. The Blaze (pay-as-you-go) plan scales well but bills for reads individually, and a bad query or a traffic spike can generate a surprise invoice. Setting up budget alerts is mandatory before launching anything on Firebase Blaze.

PlanetScale: Serverless MySQL for Teams Who Think in Schemas

PlanetScale is built on Vitess, the database infrastructure that powers YouTube and Slack. It’s serverless MySQL — you connect with a standard MySQL driver, write standard SQL, and PlanetScale handles horizontal sharding, connection pooling (via PlanetScale Boost), and schema migrations through its branch-and-deploy workflow.

The branching model for schema changes is PlanetScale’s most distinctive feature. You create a database branch (like a git branch), apply your migration, test against production data, then merge via a deploy request. Schema changes deploy without locking tables. For teams running frequent schema iterations on large tables, this is transformative — a migration that would cause 30 minutes of downtime on traditional MySQL runs in seconds with zero locking.

PlanetScale is optimized for read-heavy, high-scale workloads. Connection pooling handles thousands of serverless function connections without exhausting the database. The dashboard’s query insights surface slow queries with explain plans, making performance debugging faster than any tool I’ve used on self-hosted MySQL.

The catch: PlanetScale does not support foreign key constraints. The Vitess architecture enforces this — cross-shard foreign keys don’t work. If you rely on database-level referential integrity, you’ll need to enforce those constraints in application code. For some teams this is a dealbreaker; for others it’s a non-issue because they’re already handling this in their ORM layer.

Pricing changed in 2024 — PlanetScale eliminated its free tier, starting at $39/month for the Scaler plan. This makes it a harder sell for hobbyist projects, but it’s well-priced for production SaaS with real traffic.

Side-by-Side: What Each Platform Wins

  • Best free tier for side projects: Supabase — 500MB Postgres, real auth, edge functions, no time limit
  • Best for mobile apps with real-time sync: Firebase — SDK quality on iOS/Android/Flutter is unmatched
  • Best for complex relational data: Supabase — full Postgres, RLS, foreign keys, SQL that actually works
  • Best for high-scale MySQL workloads: PlanetScale — Vitess sharding, zero-downtime migrations, connection pooling
  • Best for AI / vector search integration: Supabase — pg_vector extension is native, no separate vector DB needed
  • Most predictable pricing: Supabase — flat $25/month Pro vs Firebase’s per-read billing and PlanetScale’s $39 minimum

Final Verdict

For most indie developers shipping a web app or SaaS in 2026, Supabase is the default choice. The free tier covers you through early traction, the Postgres foundation means you’re never fighting the data model, and the auth + storage + edge functions bundle eliminates most of the infrastructure you’d otherwise stitch together yourself. The pg_vector extension also means you can add AI-powered search without a separate vector database.

Choose Firebase if you’re building a mobile-first app that needs smooth offline sync and real-time listeners as core product features — not add-ons. The SDKs are still the best in the business for native apps.

Choose PlanetScale if you’re scaling a MySQL-backed application beyond what a single managed instance handles, or if your team needs zero-downtime schema deploys on a large production database.

Start with Supabase’s free tier — there’s no credit card required, and you’ll know within a weekend whether it fits your project. That’s a better use of 48 hours than reading more comparison posts.

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