Neon vs Turso

At a Glance

Neon

Turso

Neon

Turso

No features listed.

Neon

Pros

Branching lets you create a full database copy in seconds, which finally makes database previews per pull request practical+168
Scale-to-zero means you pay nothing when your app is idle, making it the cheapest option for multiple staging environments+152
It's standard Postgres, so every extension, tool, and migration framework you already know works without modification+139
The connection pooling via pgBouncer is built in, so you don't hit connection limits when using serverless functions+127
Point-in-time restore is available even on paid tiers at a much lower price than managed Postgres alternatives+93

Database

Supabase vs Neon

Database

PlanetScale vs Neon

Database

Supabase vs Neon vs PlanetScale

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Scale-to-zero is great for cost but the cold start on a sleeping database adds 500ms-1s of latency to the first request, which can surprise users+145
Some Postgres extensions aren't available yet on Neon because of the storage separation architecture+96
The free tier is limited to a single project and 10 branches, which is tight if you're managing multiple apps+81
The billing dashboard is confusing — compute hour pricing requires math to predict your monthly bill accurately+72

Turso

Pros

Pricing is genuinely cheap — the free tier includes 9GB storage and 500 databases which covers most indie projects indefinitely+141
Edge replication puts a read replica close to every user without any configuration, which makes global apps feel instant+128
SQLite is so simple that onboarding a new developer takes minutes — there's no server to configure or connection string to debug+103
The embedded replica feature lets you run the database in-process for zero-latency reads in serverless environments+87
Drizzle ORM integration is first-class and the setup docs are the best in the SQLite ecosystem right now+76

Cons

SQLite's limited ALTER TABLE support means schema migrations are more awkward than with Postgres — you often have to recreate tables+118
Write latency goes to the primary region, so users far from your primary location will see slower write performance than reads+94
Multi-tenant setups with hundreds of databases sound great in theory but managing that many separate databases adds operational complexity+83
The ecosystem is still young and you'll hit undocumented edge cases that require digging through GitHub issues to resolve+71