Convex vs Supabase vs PlanetScale vs Neon: Serverless Database Comparison 2026

Picking a serverless database in 2026 is harder than it looks. Four solid options — Convex, Supabase, PlanetScale, and Neon — each solve the same problem in fundamentally different ways. Choose the wrong one and you’ll hit scaling walls, pricing surprises, or a data model that fights your application.

This guide cuts through the marketing. You’ll see exactly what each platform does, what it costs, where it breaks down, and which team should use it.

The State of Serverless Databases in 2026

Serverless databases have gone from niche experiment to production default for most new projects. The driver isn’t hype — it’s economics. Pay for what you use, scale to zero, no weekend oncall to babysit idle Postgres instances. The ecosystem matured significantly in 2024–2025 as cold start times dropped and connection pooling finally got solved.

The four contenders here represent different bets on what “serverless database” means:

Neon bet on pure serverless Postgres with branching for developer workflows
Supabase bet on Postgres-plus-everything: auth, storage, realtime, edge functions
PlanetScale bet on MySQL with Git-style schema changes and horizontal sharding
Convex bet on a fundamentally different reactive architecture where queries are live subscriptions

All four are production-ready. The right choice depends entirely on your use case.

Tool Overviews

Neon — Serverless Postgres Done Right

Neon is serverless Postgres. That’s the pitch, and it’s a good one. The key innovations are autoscaling compute (your database pauses when idle and wakes in ~500ms), database branching for dev/staging workflows, and a storage layer that decouples compute from data.

What makes Neon stand out is the branching model. Create a branch of your production database for every PR, run migrations against it, merge when done. If you’ve ever manually managed dev/staging database sync, this feature alone is worth the switch.

The protocol is wire-compatible Postgres, which means your existing queries, ORMs, and tools work without changes.

Best for: Teams who want standard Postgres with zero operational overhead.

Supabase — The Firebase Alternative with Postgres Backbone

Supabase gives you a full backend platform with Postgres at the center. Out of the box: row-level security, realtime subscriptions, auth (OAuth, email, magic links, phone), file storage, edge functions, and auto-generated REST and GraphQL APIs from your schema.

The pitch is that you can build an entire backend without writing a server. For many use cases — CRUD apps, SaaS dashboards, MVPs — that’s actually true.

The tradeoff is complexity. Supabase has a lot of moving parts, and the database is standard Postgres managed by the platform. You get less control over infrastructure tuning compared to running your own Postgres, but most teams don’t need that control anyway.

Best for: Full-stack teams that want to minimize backend code, especially for apps needing auth and realtime.

PlanetScale — MySQL with a Schema Change Workflow

PlanetScale runs on Vitess (YouTube’s MySQL sharding layer) and adds a Git-style branching workflow specifically for schema changes. Deploy branches, preview deployments, and non-blocking schema migrations replace the dreaded ALTER TABLE lock.

Non-blocking schema migrations are genuinely important at scale. On a large MySQL table, ALTER TABLE ADD COLUMN can lock writes for minutes. PlanetScale eliminates that problem.

The horizontal sharding via Vitess means PlanetScale can scale to billions of rows without the operational complexity of managing shards yourself. For high-traffic applications with large datasets, this is a significant capability.

Note: In late 2024, PlanetScale ended their free tier and removed single-row foreign key enforcement at the database level (though you can enforce them in application code). Keep this in mind for budget-sensitive projects.

Best for: MySQL-native teams, large-scale applications, teams needing robust schema change workflows.

Convex — Reactive Database with a Different Mental Model

Convex is the most opinionated option here. It’s not just a database — it’s a backend platform with a reactive query engine, type-safe functions, scheduled jobs, and file storage. Queries are subscriptions: when underlying data changes, all connected clients automatically receive updated results.

The architecture eliminates an entire class of bugs. No stale data, no polling, no websocket management. You define a query function, your UI subscribes to it, and updates happen automatically.

The tradeoff is lock-in. Convex uses its own query language (TypeScript functions that run in their runtime), its own data model (document-style, not relational), and its own deployment model. Migrating away later is non-trivial.

Best for: Real-time applications (collaborative tools, live feeds, multiplayer), React/Next.js teams willing to embrace the opinionated model.

Comparison Table

Feature	Convex	Supabase	PlanetScale	Neon
Database type	Document (reactive)	PostgreSQL	MySQL (Vitess)	PostgreSQL
Free tier	Yes (generous)	Yes	No (removed 2024)	Yes
Realtime	Native (reactive)	Postgres realtime	No	No (use pgmq/LISTEN)
Auth built-in	No	Yes	No	No
Branching	No	No	Yes (schema)	Yes (full DB)
Cold start	~100ms	~500ms	N/A (always-on)	~500ms
SQL interface	No	Yes	Yes	Yes
ORM support	Convex-only	Any Postgres ORM	Any MySQL ORM	Any Postgres ORM
Horizontal scaling	Yes	Limited	Yes (Vitess)	Vertical autoscale
TypeScript SDK	First-class	Yes	Yes	Yes
Self-hostable	No	Yes	No	Yes (open-source)

Pricing Deep-Dive

Neon

Neon’s free tier is generous: 0.5 GB storage, 191.9 compute hours/month, and database branching included. Paid plans start at $19/month (Launch) with 10 GB storage and scale from there.

The billing model charges for compute hours (active compute time) plus storage. Since compute scales to zero when idle, a lightly-used application can stay on the free tier indefinitely. Production workloads with consistent traffic will see compute costs add up — estimate $50–100/month for a medium-traffic app.

Supabase

Free tier: 500 MB database, 1 GB file storage, 50,000 monthly active users for auth, 2 million edge function invocations. Pauses after 7 days of inactivity on free tier.

Pro plan: $25/month per organization (not per project) includes 8 GB database, 100 GB storage. This is competitively priced — $25/month for a full backend platform is hard to beat.

Enterprise pricing is custom. Watch for egress costs on the file storage if you’re serving large files.

PlanetScale

PlanetScale removed their free tier in 2024. Current entry point is the Scaler plan at $39/month: 10 GB storage, 100M row reads/month, 10M row writes/month.

The pricing model charges per row read/write, which can surprise teams used to flat-rate pricing. A table scan on 10M rows costs 10M row reads. For read-heavy workloads with efficient queries, costs stay predictable. For analytical queries or inefficient access patterns, bills can spike unexpectedly.

Convex

Free tier: 1 GB database, 1 GB file storage, 1M function calls/month. Relatively generous for small projects.

Paid plans start at $25/month (Starter) for higher limits. Convex bills on function calls, bandwidth, and storage — similar to a FaaS pricing model. Real-time applications with many active users can accumulate function call costs quickly; model this before committing.

Developer Experience

TypeScript Support

All four platforms have TypeScript SDKs, but the depth varies significantly.

Convex has the best TypeScript integration by design. The entire data model and function signatures are typed end-to-end, from database schema through server functions to client queries. Autocomplete works on query results without manual type annotations.

Neon integrates with any Postgres ORM — Prisma, Drizzle, TypeORM. See the Drizzle vs Prisma comparison for help choosing. The TypeScript experience depends entirely on your ORM choice.

Supabase generates TypeScript types from your schema via the CLI. Run supabase gen types typescript and you get fully-typed database access. The DX is good, though type regeneration is a manual step you need to remember.

PlanetScale works with any MySQL ORM. TypeScript support is ORM-dependent.

Local Development

Neon: Local dev typically means running Postgres locally (Docker) and pointing at a Neon branch for staging. The branching workflow shines here — branch from production, test, delete the branch.

Supabase: Supabase CLI spins up a full local stack (Postgres + auth + storage + realtime) via Docker. The local-to-production parity is excellent. Migrations are version-controlled with supabase db diff and supabase migration new.

PlanetScale: Deploy branches work similarly to git branches for schema changes. Local dev typically runs standard MySQL.

Convex: npx convex dev runs the Convex backend locally (actually against their dev environment, not fully local). The DX is smooth but requires internet connectivity even for local development.

Schema Management

Platform	Approach	Notes
Neon	SQL migrations	Any migration tool (Flyway, Liquibase, ORM migrations)
Supabase	CLI-managed migrations	`supabase migration new`, version controlled
PlanetScale	Deploy branches	Schema diff, non-blocking schema changes, merge workflow
Convex	Schema.ts file	TypeScript schema definition, auto-deployed

Performance and Cold Start Analysis

Cold starts matter differently depending on your workload:

Neon cold starts average 500–800ms for a paused compute. This is fine for background jobs or low-traffic APIs but problematic for user-facing requests where the first user of the day experiences a slow response. Neon’s autosuspend threshold is configurable — set it to 5 minutes instead of 1 to reduce cold start frequency.

Supabase doesn’t have cold starts in the traditional sense for the database (the Postgres instance is always running). Edge functions do cold start, but those are separate from the database.

PlanetScale is always-on — no cold starts. The Vitess layer adds some overhead versus raw MySQL, but it’s negligible for most use cases.

Convex cold starts for functions are typically under 100ms since they run on their edge infrastructure. Database reads are fast due to their reactive architecture caching frequently-accessed data close to the compute layer.

Connection pooling is the other performance consideration for serverless. Neon uses PgBouncer built-in. Supabase uses Supavisor (their in-house pooler). Convex doesn’t expose connections directly. PlanetScale’s Vitess handles connection pooling automatically.

If you’re running edge functions or serverless API routes, connection pooling is non-negotiable — see database scaling strategies for why this matters.

Use Cases: Who Should Use What

Choose Neon if:

You’re already on Postgres and want to eliminate operational overhead
Your team values the database branching workflow for CI/CD
You want wire-compatible Postgres with no vendor lock-in
Your workload is variable (dev/staging environments, intermittent APIs)

Choose Supabase if:

You’re building a full-stack app and want to minimize backend code
You need auth, storage, and realtime without building those services
You want Firebase-like DX with Postgres power underneath
You’re an early-stage startup that needs to ship fast

Choose PlanetScale if:

You’re on MySQL and need horizontal scaling
Schema changes on large tables are a recurring pain point
You need Vitess-level sharding for massive datasets
You can absorb the $39/month minimum and row-read pricing model

Choose Convex if:

You’re building a real-time collaborative application
You use React/Next.js and want automatic UI updates without websocket management
Type safety from database to UI is a priority
You’re comfortable with a highly opinionated, all-in-one backend

Migration Considerations

Moving to Neon

Wire-compatible Postgres means pg_dump → restore works. The main migration concern is if your current setup relies on Postgres extensions — Neon supports most common ones (pgvector, postgis, uuid-ossp) but not all. Run SELECT * FROM pg_extension on your current database and verify support before committing.

Moving to Supabase

Also Postgres, so pg_dump → Supabase import is the path. The additional complexity is migrating auth users (if you have an existing auth system) and configuring row-level security policies from scratch.

Moving to PlanetScale

MySQL-compatible, but Vitess has restrictions: no foreign key constraints enforced at the database level (by design), limited support for some MySQL-specific features. Review the PlanetScale compatibility docs before migrating.

Moving away from Convex

This is the hardest migration of the four. Convex’s document model and reactive function architecture don’t map cleanly to relational SQL. Plan for a full rewrite of your data access layer. Treat this as a long-term commitment.

Decision Framework

Start with these questions:

1. Do you need relational SQL?

Yes → Neon, Supabase, or PlanetScale
No → Convex is viable

2. Do you need realtime subscriptions?

Yes, it’s core to the product → Convex (native reactive) or Supabase (realtime channel)
No → any of the four

3. What’s your existing stack?

Postgres already → Neon or Supabase
MySQL already → PlanetScale
Greenfield → Neon or Supabase

4. Do you need auth and storage too?

Yes → Supabase
No → keep it simple with Neon

5. What’s your scale requirement?

Billions of rows, horizontal sharding → PlanetScale
Standard web app scale → Neon, Supabase, or Convex

For most new projects in 2026, the default recommendation is Neon for pure database needs or Supabase if you want a full backend platform. Both offer generous free tiers, Postgres foundation, and low operational overhead.

PlanetScale earns its spot for MySQL-native teams and high-scale MySQL workloads. Convex earns its spot for real-time-first products where its reactive model becomes a structural advantage rather than a workaround.

Summary

	Neon	Supabase	PlanetScale	Convex
Verdict	Best pure serverless Postgres	Best full-stack platform	Best for MySQL scale	Best for realtime apps
Free tier	Yes	Yes	No	Yes
Learning curve	Low	Medium	Low	High
Lock-in risk	Low	Medium	Medium	High
Recommended for	Any Postgres project	Full-stack MVPs	Large MySQL apps	Real-time React apps

The tooling ecosystem for all four has matured enough that any of these is a defensible production choice. The database management tools at DevPlaybook’s database tools section can help regardless of which platform you choose.

Pick based on your actual requirements, not the most impressive demo.