SeaQuery
SeaQuery: Build and render bound SQL and schema statements in Rust across three database backends. Ranked #20 of 51 in Database Query Builders by our editors (7.0/10); pricing: Free plan; best for rust teams needing dynamic SQL and schema statements.
At a glance
- Editor score7.0 / 10
- PricingFree plan
- Best forRust teams needing dynamic SQL and schema statements
- Free planYes
- Paid fromNone
- Facts checked4 Oct 2026
Where it wins
- Builds SELECT, INSERT, UPDATE, DELETE, and schema statements
- Generates parameter bindings with SQL for MySQL, PostgreSQL, and SQLite
- Renders SQL and values without executing queries
Where it doesn't
- Does not execute queries or provide async query support
- Core package supports three SQL dialects; SQL Server is separate in SeaQuery X
- Integration choices are centered on SQLx, postgres, and rusqlite
Our verdict on SeaQuery
SeaQuery is an open-source Rust library for constructing dynamic SQL and database schema statements through an abstract syntax tree API. It suits Rust teams that need to assemble queries at runtime, generate SQL for multiple database backends, or build table, foreign-key, and index operations. Its role is query construction rather than database access: it renders SQL and collected parameter values, but does not execute queries.
The library covers common CRUD statements—SELECT, INSERT, UPDATE, and DELETE—and generates parameter bindings alongside query expressions. It also supports custom SQL expressions with bound values, giving teams an escape hatch for fragments outside its expression builder. Backend support in SeaQuery is MySQL, PostgreSQL, and SQLite; SQL Server support is offered separately through SeaQuery X. That separation matters for teams choosing a dialect: a project requiring SQL Server needs to evaluate the separate extension rather than assume it is part of the core package.
SeaQuery integrates with SQLx, postgres, and rusqlite, and is distributed as an open-source library for self-hosted use. It has no async query support, so teams looking for an execution layer or asynchronous database operations will need additional components. Documentation and community support are the listed support channels. Choose SeaQuery when Rust code needs dynamic, parameterized SQL and schema generation with these three dialects; look elsewhere or pair it with another library if query execution, async operations, or core SQL Server support is a requirement.
Your product? Our editors can test SeaQuery in depth and publish a review, labelled as paid · from $99/mo →
SeaQuery pricing
SeaQuery fact sheet
| Free plan | Yes |
|---|---|
| Paid from | None |
| Languages | Rust |
| SQL dialects | MySQL, PostgreSQL, SQLite |
| Type safety | Not verified |
| Async queries | No |
| Raw SQL support | Yes |
| Compile without execution | Yes |
| Deployment | Self-hosted |
| Support | Community, Docs |
| Built for | Solo, Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 3 integrations: SQLx, postgres, rusqlite |
| Pricing | Free plan |
| Website | sea-ql.org |
| Facts checked | 4 Oct 2026 |
SeaQuery integrations
SeaQuery lists 3 integrations on its own site.
- SQLx
- postgres
- rusqlite
Alternatives to SeaQuery
- jOOQA fluent SQL framework for JVM teams that want generated, type-safe database access.9.3
- SQLAlchemySQL construction, ORM, and database services for Python applications.9.1
- JetBrains ExposedA free, open-source Kotlin library with a type-safe SQL DSL and JDBC and R2DBC access.9.0
See all SeaQuery alternatives →
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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