Open-Source Databases · sqlkata

querybuilder

SqlKata is a C# SQL query builder that lets you construct complex database queries programmatically across multiple database systems (SQL Server, MySQL, PostgreSQL, Oracle, SQLite, Firebird) using a clean, fluent API. It handles joins, subqueries, pagination, and CRUD operations without writing raw SQL strings.

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Source: GitHub — github.com/sqlkata/querybuilder

3.4k

GitHub stars

525

Forks

Primary language

MIT

License (OSI-approved)

Key facts

Objective fields from the source. Values we can't verify are shown as “Unknown” rather than guessed.

Field	Value
Repository	sqlkata/querybuilder
Owner	sqlkata
Primary language	C#
License	MIT — OSI-approved
Stars	3.4k
Forks	525
Open issues	178
Latest release	v4.0.1 (2025-02-01)
Last updated	2026-04-10
Source	https://github.com/sqlkata/querybuilder

What querybuilder is

A database-agnostic query builder for .NET that compiles fluent C# expressions into parameterized SQL statements. Supports multiple SQL dialects through pluggable compilers, integrates with Dapper for execution, and provides features like nested conditions, subqueries, and pagination primitives.

Quickstart

Get the querybuilder source

Clone the repository and explore it locally.

terminalbash

1git clone https://github.com/sqlkata/querybuilder.git2cd querybuilder3# follow the project's README for install & configuration

Need it deployed, integrated, or customized instead? DEV.co ships production installs.

Best use cases

Multi-database applications requiring unified query API

Applications that need to support multiple database backends (MSSQL, PostgreSQL, MySQL, etc.) can use a single query-building abstraction, reducing code duplication and switching costs.

Programmatic query construction in data access layers

Systems that build queries dynamically based on user input, filters, or business logic can avoid SQL injection risks through parameterized query generation and maintain cleaner code than string concatenation.

Complex reporting and analytics with conditional filtering

Applications building report generators or analytics dashboards with variable filtering, conditional joins, and pagination benefit from the fluent API for readable, maintainable conditional query logic.

Implementation considerations

Requires .NET/C# runtime; ensure target framework compatibility (specific version requirements not stated in data).
Installation requires NuGet packages (SqlKata and optionally SqlKata.Execution); verify package feed access and internal security policies.
Connection management (SQL Server, MySQL, PostgreSQL, etc.) must be configured separately; Dapper integration for execution is optional but recommended.
Parameterized queries are generated by default, reducing SQL injection risk, but input validation at the application layer should still be applied.
Learning curve for fluent API; teams should allocate time for documentation review and code examples before production deployment.

When to avoid it — and what to weigh

Heavy reliance on database-specific SQL features — Projects requiring specialized stored procedures, window functions, CTEs, or vendor-specific extensions may find the builder too abstracted; consider an ORM with escape hatches or raw SQL support.
Performance-critical scenarios requiring query optimization control — If you need fine-grained control over query hints, index strategies, or execution plans, the abstraction layer may limit your ability to hand-tune SQL.
Teams unfamiliar with fluent API patterns — Codebases with developers who prefer explicit SQL may encounter friction with the method-chaining style; training overhead and code review cycles may increase.
Real-time systems with minimal latency budgets — The query compilation step adds overhead; for ultra-low-latency systems, precompiled queries or materialized views may be preferable.

License & commercial use

Licensed under MIT (MIT License), a permissive OSI-approved license permitting commercial use, modification, and distribution.

MIT license explicitly permits commercial use without restriction. No paid support, licensing fees, or commercial restrictions are imposed by the license itself. However, verify your organization's legal review processes and any internal policies regarding open-source dependency use.

DEV.co evaluation signals

Editorial assessment — not user reviews. Directional, with an explicit confidence level.

Signal	Assessment
Maintenance	Active
Documentation	Adequate
License clarity	Clear
Deployment complexity	Low
DEV.co fit	Good
Assessment confidence	High

Security considerations

Query builder generates parameterized SQL by default, mitigating SQL injection attacks at the statement level. However, security depends on correct usage (proper parameterization of user inputs) and the underlying database driver. No security audit, vulnerability disclosure policy, or authenticated release signing is documented in the provided data. Code review is recommended before production deployment. Input validation at the application layer remains essential.

Alternatives to consider

Entity Framework Core (EF Core)

Full-featured ORM for .NET with change tracking, lazy loading, and automatic migrations. Better for domain-driven design but heavier overhead and steeper learning curve than SqlKata.

Dapper (micro-ORM)

Lightweight alternative for mapping SQL results to objects; requires manual query writing but offers fine-grained SQL control and minimal abstraction overhead.

LinqToDb

LINQ-based query builder with strong type safety and support for complex queries; comparable feature set to SqlKata but uses LINQ syntax rather than fluent API.

Software development agency

Build on querybuilder with DEV.co software developers

SqlKata offers a lightweight, permissive-license alternative to full ORMs for teams needing multi-database query abstraction. Review the code, test integration with your database backend, and confirm internal security policies before production deployment.

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Related open-source tools

Surfaced by semantic similarity across the DEV.co open-source index.

go-sqlbuilder react-querybuilder data-api-builder

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querybuilder FAQ

Does SqlKata prevent SQL injection?

By default, SqlKata generates parameterized SQL statements, which protect against SQL injection. However, proper use is required—always pass user input as parameters, not string literals in the query API.

Can I use SqlKata with Entity Framework Core?

SqlKata and EF Core serve different purposes. SqlKata is a lightweight query builder; EF Core is a full ORM. You can use both in the same project but they manage queries independently.

What happens if my database isn't in the supported list?

SqlKata supports SQL Server, MySQL, PostgreSQL, Oracle, SQLite, and Firebird. For other databases, you can create a custom compiler, though the project does not accept external compiler contributions.

Is there commercial support available?

Not stated in the provided documentation. The README mentions donations and Twitter updates for announcements. For commercial support, contact the project maintainers directly or consult https://sqlkata.com.

Custom software development services

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