16 Open-source and Free SQL Query Managers for PHP, C#, Python, Go, and JavaScript

SQL Query Managers are software tools that allow users to interact with databases using SQL (Structured Query Language) queries. These tools provide an interface for users to write SQL queries and execute them against a database.

SQL Query Managers come with a variety of features that make it easier for users to work with databases. These features include syntax highlighting, auto-completion, and error checking. Syntax highlighting helps users identify SQL keywords, functions, and variables by highlighting them in different colors. Auto-completion provides suggestions for SQL statements as users type, which can help reduce typing errors. Error checking for syntax errors in SQL queries and provides feedback to users on how to fix them.

Many SQL database administrators and clients have a built-in SQL query manager. These managers can come in different forms and may have different options, features, and specifications. Some managers may have a wide range of functions, including tools for data analysis, report generation, and data visualization. Other managers may be more basic, with fewer options and features. Despite these differences, these managers all serve the same basic purpose: to allow users to interact with databases using SQL queries. It's important to choose a query manager that aligns with your needs and preferences, so that you can make the most of the available features and functionalities.

Some popular SQL Query Managers include MySQL Workbench, Microsoft SQL Server Management Studio, and Oracle SQL Developer. These tools provide a graphical user interface (GUI) that makes it easy for users to interact with databases. They also provide additional features such as data modeling, data visualization, and performance tuning.

In addition to standalone SQL Query Managers, there are also web-based SQL Query Managers such as PhpMyAdmin and Adminer. These tools allow users to access databases through a web browser and execute SQL queries. They are often used by web developers who need to manage databases for their web applications.

In this post we offer a standalone developer-friendly SQL query managers in different languages as PHP, Go, Python, C# and JavaScript.

1- SQLBuilder (PHP)

SQLBuilder is not an ORM (Object relational mapping) system, but a tool set that helps you generate cross-platform SQL queries in PHP.

SQLBuilder is a standalone library, you can simply install it through composer or just require them (the class files) with your autoloader, and it has no dependencies.

SQLBuilder features include

Simple API, easy to remember.
Fast & Powerful.
Custom parameter marker support:
Question-mark parameter marker.
Named parameter marker.
Configurable quote handler.
Zero dependency.

2- JSON Query Builder (PHP)

JSON Query Builder enables you to generate SQL queries from JSON requests.

3- Dialect (PHP)

Dialect is a Cross-Vendor & Cross-Platform SQL Query Builder for PHP, Python, JavaScript.

4- SuperSQL (PHP)

SuperSQL is an easy-to-use powerful SQL query builder for SQLite and MySQL.

5- SqlKata Query Builder (C#)

SqlKata Query Builder is a powerful SQL Query Builder written in C#. It's secure and framework-agnostic. Inspired by the top Query Builders available, like Laravel Query Builder, and Knex.

SqlKata has an expressive API. It follows a clean naming convention, which is very similar to the SQL syntax.

By providing a level of abstraction over the supported database engines, that allows you to work with multiple databases with the same unified API.

SqlKata supports complex queries, such as nested conditions, selection from SubQuery, filtering over SubQueries, Conditional Statements and others. Currently, it has built-in compilers for SqlServer, MySql, PostgreSql and Firebird.

6- Sqorn (JavaScript)

Sqorn is a JavaScript library for building SQL queries. It enables developers to build complex queries from simple parts. Chain, extend, and embed queries. Sqorn's use of modern JavaScript language features like tagged template literals and promises makes building and issuing SQL queries a breeze.

7- Jet (Go)

Jet is a complete solution for efficient and high performance database access, consisting of type-safe SQL builder with code generation and automatic query result data mapping.
Jet currently supports PostgreSQL, MySQL, CockroachDB, MariaDB and SQLite. Future releases will add support for additional databases.

Jet is the easiest, and the fastest way to write complex type-safe SQL queries as a Go code and map database query result into complex object composition. It is not an ORM.

8- React Awesome Query Builder

React Awesome Query Builder is a user-friendly React component to build queries (filters).

Inspired by jQuery QueryBuilder. Using awesome UI frameworks for widgets: Ant Design, Material-UI, Bootstrap. Now Fluent UI is also supported!

Its features include

Highly configurable
Fields can be of type:
simple (string, number, bool, date/time/datetime, list)
structs (will be displayed in selectbox as tree)
custom type (dev should add its own widget component in config for this)
Comparison operators can be:
binary (== != < > ..)
unary (is empty, is null)
'between' (for numbers, dates, times)
complex operators like 'proximity'
Values of fields can be compared with:
values
another fields (of same type)
function (arguments also can be values/fields/funcs)
Reordering (drag-n-drop) support for rules and groups of rules

9- Mammoth PostgreSQL Query Builder TypeScript

Mammoth is a type-safe query builder that supports only Postgres, which we consider a feature. Its syntax is as close to SQL as possible, so you already know how to use it. Its autocomplete features are great, helping you avoid mistakes and speed up application development. Mammoth is a query builder pur sang so it doesn't include a database driver. You need to create a db and pass a callback to execute the query.

10- builq (Go)

Builq offers a simple yet powerful way to build queries in Go.

11- SQL Query Builder (PHP)

This one is a A fluent SQL Query Builder which ONLY builds a valid SQL query with the SQL clauses it has been asked to provide.

This Query Builder can build a variety of SQL queries which are database agnostic as it uses the ANSI standardized syntax.

Every sort of query has its own class which extends from the base Query class, They all have the same constructor signature which requires the table name on which to execute the query.

To build a SELECT query with table join use the SelectJoin class. An example can be seen below on how to use this class.

It is possible to directly provide scalar values to WHERE clauses and while binding a field. It is also possible to specify the named parameter against which the value will be bounded. In case no named parameter has been provided a random one will be generated.

To retrieve the named parameters with their associated values use the getParameters method which will return an associative array parameter => value.

12- PyPika Python Query Builder (Python)

PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.

PyPika leverages the builder design pattern to construct queries to avoid messy string formatting and concatenation. It is also easily extended to take full advantage of specific features of SQL database vendors.

It is a fast, expressive and flexible way to replace handwritten SQL (or even ORM for the courageous souls amongst you). Validation of SQL correctness is not an explicit goal of PyPika.

13- SQL builder for Go

sqlbuilder provides a set of flexible and powerful SQL string builders. The only goal of this package is to build an SQL string with arguments which can be used in DB#Query or DB#Exec defined in the package database/sql.

14- SQLease (JavaScript)

SQLease allows users to visualize their database and automatically constructs their query in a simple step-by-step process. We reimagined the format of a typical SQL query, and broke it into 3 main sections: starting with FROM, then SELECT, and then WHERE.

15- Knex.js

Knex.js is a batteries-included, multi-dialect (PostgreSQL, MySQL, CockroachDB, MSSQL, SQLite3, Oracle (including Oracle Wallet Authentication)) query builder for Node.js.

16- NQM

NQM or Named Query Manager helps you SQL organize queries in files.

Conclusion

SQL Query Managers are essential tools for anyone working with databases. They provide an easy-to-use interface for users to write and execute SQL queries, and come with a variety of features that make it easier to work with databases. Whether you are a database administrator, developer, or analyst, SQL Query Managers are a must-have tool in your toolkit.