Drizzle ORM vs SQLAlchemy
No clear leader: SQLAlchemy (74.9) and Drizzle ORM (73.3) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Capabilities
Feature-by-feature on the axes that matter for orm & database tools. “-” means undocumented, not absent.
What each one is
The product in its own terms, so the numbers below have context.
Drizzle ORM
Drizzle is a headless ORM that allows developers to define SQL schemas and write type-safe, relational queries against PostgreSQL, MySQL, and SQLite databases. It emphasizes serverless compatibility, small bundle size, and works across Node.js runtimes, edge platforms, and browsers without external dependencies.
SQLAlchemy
SQLAlchemy provides Python developers with a toolkit for working with SQL databases, featuring both a low-level SQL expression language and an optional object mapper. It balances flexibility and abstraction, allowing developers to write type-safe database queries while retaining the ability to use hand-optimized SQL when needed.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
Drizzle ORM
- Turso
- Neon
- Xata
- PlanetScale
- Cloudflare D1
- FlyIO LiteFS
- Vercel Postgres
- Supabase
- AWS Data API
- Hono
- ArkType
- TypeBox
- Valibot
- Zod
SQLAlchemy
- PostgreSQL
- MySQL
- Oracle
- SQL Server
- SQLite
- Alembic
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.