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Drizzle ORM vs Valkey

Drizzle ORM logo

Drizzle ORM

Software Development

Headless TypeScript ORM and SQL query builder

From
Free
Rated
-
Full reviewWebsite
Valkey logo

Valkey

Databases

Open-source in-memory data store forked from Redis

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Drizzle ORM it is entirely community/sponsor-funded with no official paid support tier for enterprises needing SLAs.; Valkey younger project, so its track record is short even though the codebase is not
  • They diverge on capability: Drizzle ORM covers Type-safe query builder, Valkey covers Redis-compatible.
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Drizzle ORM and Valkey actually diverge.

Attributes where Drizzle ORM and Valkey differ
AttributeDrizzle ORMValkey
Pricing modelopen-sourceOpen source, no licence fee; managed cloud billed separately
Platformsweb, apiLinux, macOS, Docker, Self-hosted
CategorySoftware DevelopmentDatabases

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Drizzle ORM

  • Type-safe query builder
  • Schema migrations
  • Drizzle Studio
  • Multi-database support
  • Serverless-ready drivers
  • Zero dependencies

Only in Valkey

  • Redis-compatible
  • BSD licensed
  • Rich data structures
  • Replication and persistence

What people use each for

The jobs each tool is most often brought in to do.

Drizzle ORM

  • Type-safe database access in TypeScript backendsnot Valkey
  • Serverless and edge applications needing lightweight database driversnot Valkey
  • Teams migrating from raw SQL for better type safetynot Valkey
  • Projects wanting SQL-like control without a heavy ORM abstractionnot Valkey

Valkey

  • Continuing on a permissively licensed in-memory store after the Redis licence changenot Drizzle ORM
  • Caching and session storage where a foundation-governed project is a procurement requirementnot Drizzle ORM
  • Migrating from Redis without rewriting application codenot Drizzle ORM

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Drizzle ORM

  • It is entirely community/sponsor-funded with no official paid support tier for enterprises needing SLAs.
  • The relational query API is newer than the SQL-like API and has historically had fewer advanced features.
  • Documentation and ecosystem tooling are less mature than Prisma's, which has a larger community and GUI ecosystem.
  • MSSQL and CockroachCB support are newer additions still stabilizing toward a 1.0 release.

Valkey

  • Younger project, so its track record is short even though the codebase is not
  • Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
  • Ecosystem tooling and documentation still frequently assume Redis, leaving translation work

Pricing, plan by plan

Drizzle ORM

Free
  • Open SourceFree
    • Full ORM and query builder
    • drizzle-kit migrations
    • Drizzle Studio

Valkey

Free
  • ValkeyFree
    • Full functionality
    • Self-hosted
    • No usage limits

Which should you pick?

Choose Drizzle ORM if

  • You need type-safe query builder.
  • You want to start without paying.
  • You work on web, api.
  • You also want schema migrations.
Drizzle ORM review

Choose Valkey if

  • You need redis-compatible.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want bsd licensed.
Valkey review

Questions people ask

Is Drizzle ORM or Valkey better?
Neither clearly leads. Drizzle ORM starts at Free and Valkey at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Drizzle ORM or Valkey?
Drizzle ORM starts at Free and Valkey at Free.
Does Drizzle ORM or Valkey run on more platforms?
Drizzle ORM runs on web, api. Valkey runs on Linux, macOS, Docker, Self-hosted.
Can I use Drizzle ORM for free?
Both have a free tier, so you can try either at no cost before committing.
What is Drizzle ORM best used for?
Drizzle ORM is most often used for type-safe database access in typescript backends, serverless and edge applications needing lightweight database drivers, teams migrating from raw sql for better type safety, projects wanting sql-like control without a heavy orm abstraction. Of those, type-safe database access in typescript backends and serverless and edge applications needing lightweight database drivers are not what Valkey is typically brought in for.
What can Drizzle ORM do that Valkey cannot?
Drizzle ORM covers Type-safe query builder, Schema migrations, Drizzle Studio, Multi-database support. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.

Answered from the vendors’ own pages

Drizzle ORM: What does Drizzle ORM cost?

Drizzle ORM is completely free and open-source with no licensing fees; the team accepts community sponsorships and contributions rather than charging for the software.

Source
Valkey: Is Valkey free?

Yes, BSD-licensed open source under the Linux Foundation.

Drizzle ORM: Which databases does Drizzle support?

Drizzle supports PostgreSQL, MySQL, SQLite, MSSQL, CockroachDB and SingleStore, with specialized drivers for providers like Neon, Supabase, Vercel Postgres and Turso.

Source
Valkey: Why does Valkey exist?

Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.

Drizzle ORM: Does Drizzle include migration tooling?

Yes, the drizzle-kit CLI provides generate, push, pull and check commands for managing schema migrations, and Drizzle Studio offers a visual way to browse and edit data.

Source
Valkey: Can I switch from Redis to Valkey?

At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.

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