Kysely and TypeORM 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. The classic decorator-based TypeScript ORM, familiar to anyone coming from Java or C# entity mapping. 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.
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.
| Comparison | Kysely | TypeORM |
|---|---|---|
| Pricing shape | Free and open source, with no hosted component to buy. | Free and open source, maintained by the community. |
| Frameworks | Next.js, SvelteKit, Nuxt | Next.js, Nuxt |
| In one line | A type-safe SQL query builder rather than an ORM, for people who want SQL with autocomplete. | The classic decorator-based TypeScript ORM, familiar to anyone coming from Java or C# entity mapping. |
Pricing described qualitatively because published plans change often. Checked 2026-08-23. Confirm current terms on Kysely and TypeORM.
Strengths
Tradeoffs
Strengths
Tradeoffs
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.
No entity model or change tracking, since it deliberately stops at queries. Migrations and schema types are separate concerns you must wire together.
Decorator metadata relies on compiler settings that trip up modern build tools. Lazy relations make it easy to fire many queries without noticing.
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.