Drizzle ORM vs PlanetScale

At a Glance

Drizzle ORM

PlanetScale

Drizzle ORM

No features listed.

PlanetScale

Drizzle ORM

Pros

Query performance is very close to raw SQL because there's no separate query engine — it compiles directly to SQL strings+173
The schema definition in TypeScript gives you type-safe queries without the overhead of a separate binary or language+159
Bundle size is tiny compared to Prisma, which matters a lot when you're deploying to Cloudflare Workers with strict size limits+148
You write SQL-like syntax that maps one-to-one with what hits the database, so debugging unexpected queries is much easier+134
Supports multiple databases including Postgres, MySQL, and SQLite with the same API — useful for monorepos with different environments+112

Database

Prisma vs Drizzle

Database

Supabase vs Firebase vs PlanetScale

Database

PlanetScale vs Neon

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Cons

Documentation has gaps and some advanced use cases require reading GitHub issues or the source code to understand+108
The ORM is still relatively young and some features like soft deletes and complex relations require more boilerplate than Prisma+97
Error messages when queries fail can be cryptic and don't point to the line in your code that caused the problem+81
No GUI like Prisma Studio — you need a separate tool like TablePlus or pgAdmin to inspect and edit data visually+76

PlanetScale

Pros

Branching model for database schema changes means you never run a raw ALTER TABLE in production again — a game changer for team workflows+183
Zero-downtime schema migrations are solved by default — no more 3am maintenance windows for adding a column+162
Vitess under the hood means it handles enormous write throughput that would kill a vanilla Postgres setup+147
The query insights dashboard identifies slow queries with execution plans before they become production incidents+109

Cons

They killed the free tier in 2024 and the cheapest plan is $39/mo — hard to justify for early-stage projects that might not survive+198
It's MySQL not Postgres, which cuts you off from a huge ecosystem of Postgres-native tools, extensions, and hiring pool+176
Foreign key constraints aren't supported because of the sharding model — you have to enforce referential integrity in application code+152
Prisma support works but you lose some ORM features due to the missing FK support, and you'll hit confusing errors if you're not aware+91