Supabase vs Neon vs PlanetScale (2026): Choosing a Serverless Database

Published 2026-07-13 · verify current pricing on each provider.

This guide is for developers and small teams picking a managed database for a modern web or mobile app — someone who wants Postgres-or-MySQL without running their own servers, and who cares about branching, autoscaling, and what the free tier actually delivers. All three are strong, mature products; they just optimize for different things.

The confusing part is that “serverless database” means something different to each vendor. Supabase is a full backend platform that happens to be built on Postgres. Neon is Postgres re-architected so compute can suspend and storage can branch. PlanetScale is a database built to scale horizontally under heavy production load. Choosing well is mostly about matching that philosophy to your workload.

The short version

Engine and data model

Supabase is Postgres — real, unmodified Postgres — wrapped in a product. You get auth, row-level security, object storage, realtime subscriptions, edge functions, and a vector/pgvector layer, all sharing one database. If you’d otherwise assemble a database plus an auth provider plus a file store, Supabase collapses that into one stack. The tradeoff is that you’re adopting a platform, not just a database, and you lean on its client libraries and conventions.

Neon is also pure Postgres, but its differentiator is architectural rather than feature-based. Neon separates compute from storage, which is what makes scale-to-zero and instant branching possible. It’s a database, not a backend suite — there’s a lightweight auth add-on, but you bring your own application layer. If you want ordinary Postgres that behaves elastically and integrates cleanly with ORMs like Prisma or Drizzle, Neon fits.

PlanetScale is the outlier. Its heritage is Vitess, the MySQL sharding system that ran YouTube, so its MySQL offering is built for horizontal scale and huge tables. In 2025 it added managed Postgres as well, plus a “Metal” tier backed by local NVMe drives (aimed at high, predictable IOPS). PlanetScale historically discouraged foreign-key constraints on its Vitess product because of how sharding works — check current docs for your engine, since this is the kind of constraint that surprises people migrating an existing schema.

If you need MySQL specifically, PlanetScale is the only one of the three that offers it. If you want a document model instead, that’s a different category — see MongoDB Atlas.

Branching

Branching is the headline feature all three now market, but they mean different things by it.

Neon branches are the purest form: a branch is a near-instant, copy-on-write clone of your data that bills only on the delta from the parent. Spinning up a full-data copy per pull request for CI or preview environments is cheap and fast, which is Neon’s strongest single selling point. Each plan includes a number of branches, with a small monthly charge beyond that.

Supabase branching (now “Branching 2.0,” which dropped the old Git requirement) creates a whole separate Supabase environment per branch — its own Postgres instance, its own API keys, its own auth. That’s powerful for testing changes to the entire backend, not just schema. Note that branches start without production data by default, a deliberate choice to keep sensitive data out of preview environments. It’s heavier-weight than Neon’s data-clone model but broader in scope.

PlanetScale branching is schema-migration-oriented: you branch, alter the schema, open a deploy request, and merge it back with non-blocking, online schema changes and no table locks. This is a genuinely different value proposition — it’s about shipping migrations safely to large production tables, not about spinning up disposable data copies. If painful ALTER TABLE operations are your problem, this is the best answer of the three.

Scaling and cold starts

This is where the philosophies diverge most sharply.

Neon scales compute up and down automatically and suspends it entirely after a few minutes of inactivity (scale-to-zero). Idle databases cost almost nothing, which is ideal for side projects, dev branches, and spiky traffic. The catch is the cold start: a suspended database has to wake before serving the first query. Neon’s wake time is fast — commonly cited well under a second — but it is not zero, so latency-sensitive endpoints hitting a cold database will see an occasional first-request delay. On paid plans you can raise the suspend timeout or keep compute always-on.

Supabase paid databases are always-on. There’s no cold-start penalty, but you pay for the compute whether or not anyone is using it. Free-tier projects, by contrast, pause after about a week of inactivity and must be manually resumed — the single limit most hobby users actually hit. So Supabase inverts Neon’s tradeoff: predictable latency, but no automatic idle savings on paid plans.

PlanetScale does not scale to zero at all. It’s built for workloads that are always running and sometimes very large, using read replicas, connection management, and (on Vitess) sharding to scale horizontally rather than pausing to save money. You provision a node size and it stays up. That’s the right model for a busy production app and the wrong model for a database that’s idle 90% of the day.

Free tiers and pricing shape

• Supabase has a genuinely usable free tier: a couple of projects, a small database, auth for a large number of monthly users, storage, and edge-function invocations — enough to ship a real MVP. The main friction is the inactivity pause and a modest database-size cap. The paid Pro plan starts around the mid-$20s per month and includes a compute credit, so many small apps sit near that entry price.

• Neon has a generous consumption-based free tier (a monthly compute-hour allowance, half a gig of storage, and a healthy number of branches) that suits development and light production. Paid “Launch” and “Scale” tiers are pay-as-you-go across compute, storage, and branches. After Neon’s 2025 acquisition by Databricks, storage pricing dropped substantially and the monthly minimum was removed — good news for cost-sensitive users, but a reminder that the roadmap now sits inside a larger company.

• PlanetScale removed its free “Hobby” tier back in 2024 and, despite periodic rumors, its practical entry point is a paid single-node Postgres from about $5/month, with production-grade HA (multi-node) and the Vitess/Metal tiers costing more. There’s no meaningful free ride here. What you’re paying for is reliability engineering and scale headroom, which is a fair trade if that’s what you need and overkill if it isn’t.

Which one fits

Choose Supabase if you want a batteries-included backend — auth, storage, realtime, and Postgres in one place — and value shipping a whole app fast over squeezing idle-time costs. It’s especially strong for solo founders and small teams building conventional CRUD-plus-auth products.

Choose Neon if you want plain, elastic Postgres with the best-in-class branching and scale-to-zero economics. It’s the natural pick for spiky traffic, many ephemeral preview environments, and anyone who wants a database that gets out of the way and costs little when idle.

Choose PlanetScale if scale, throughput, and safe schema migrations are your real constraints — large tables, high write volume, a need for MySQL, or a team that’s felt the pain of locking ALTER TABLEs in production. It asks for a paid commitment up front and repays it under load.

A reasonable default for most new projects is Supabase or Neon; reach for PlanetScale when you can name the scaling problem it solves. And remember the database is only one layer — pair any of them with a host like Render or your platform of choice, and revisit the decision once your traffic shape is real rather than hypothetical.

Pricing and limits cited here reflect mid-2026 and change frequently; verify current numbers on each provider’s pricing page before you commit.