Kysely vs Prisma for Next.js
Kysely and Prisma both answer the same question in a Next.js project: how does your code talk to the database? A type-safe SQL query builder rather than an ORM, for people who want SQL with autocomplete. Schema-first TypeScript ORM that generates a typed client and handles migrations from a single schema file. Both cover the orm and query layer layer competently, so the decision comes down to which set of tradeoffs you would rather live with for the next two years.
Verdict
Both cover the orm and query layer layer competently, so the decision comes down to which set of tradeoffs you would rather live with for the next two years. For Next.js specifically, both are supported, so let the tradeoff above decide rather than the framework.
Pick Kysely if
- ✓You write SQL semantics directly, so nothing surprising reaches the database.
- ✓Types come from your database schema, catching column typos at build time.
- ✓Tiny surface area, so it composes with whatever migration tool you prefer.
Pick Prisma if
- ✓One schema file is the single source of truth for types and migrations.
- ✓Generated client gives autocomplete over relations that is hard to beat.
- ✓Migration tooling handles the common cases without you writing SQL.
| Comparison | Kysely | Prisma |
|---|---|---|
| Pricing shape | Free and open source, with no hosted component to buy. | The ORM is free and open source. Optional hosted extras like connection pooling are billed separately. |
| Frameworks | Next.js, SvelteKit, Nuxt | Next.js, SvelteKit, Nuxt |
| In one line | A type-safe SQL query builder rather than an ORM, for people who want SQL with autocomplete. | Schema-first TypeScript ORM that generates a typed client and handles migrations from a single schema file. |
Pricing described qualitatively because published plans change often. Checked 2026-08-23. Confirm current terms on Kysely and Prisma.
Kysely
Strengths
- ✓You write SQL semantics directly, so nothing surprising reaches the database.
- ✓Types come from your database schema, catching column typos at build time.
- ✓Tiny surface area, so it composes with whatever migration tool you prefer.
- ✓Plugin architecture makes custom dialects and naming conventions straightforward.
Tradeoffs
- ✗No entity model or change tracking, since it deliberately stops at queries.
- ✗Migrations and schema types are separate concerns you must wire together.
- ✗Relation loading is manual, so nested reads take deliberate assembly.
- ✗Requires people on the team who are comfortable reading real SQL.
Prisma
Strengths
- ✓One schema file is the single source of truth for types and migrations.
- ✓Generated client gives autocomplete over relations that is hard to beat.
- ✓Migration tooling handles the common cases without you writing SQL.
- ✓Studio provides a decent data browser without installing a database GUI.
Tradeoffs
- ✗Its own schema language sits outside SQL, so unusual database features need escape hatches.
- ✗The generate step must run in build pipelines or types silently go stale.
- ✗Query builder hides the emitted SQL, which complicates performance tuning.
- ✗Client bundle and cold start weight matter in serverless environments.
Same pair, different context
Frequently asked questions
Is Kysely or Prisma better in a Next.js project?
Neither is better in the abstract. Both cover the orm and query layer layer competently, so the decision comes down to which set of tradeoffs you would rather live with for the next two years. The wrong choice here is usually recoverable, so weight speed of decision over certainty.
What is the main drawback of Kysely?
No entity model or change tracking, since it deliberately stops at queries. Migrations and schema types are separate concerns you must wire together.
What is the main drawback of Prisma?
Its own schema language sits outside SQL, so unusual database features need escape hatches. The generate step must run in build pipelines or types silently go stale.
Do Kysely and Prisma both support Next.js?
Yes, both list support for Next.js, which is why this comparison exists as a Next.js page. Next.js has two routing systems that look similar in code but behave completely differently, and most model training data blends them.