What is xmysql?
one command to generate REST APIs for any MySql database
xmysql is a tool in the Database Tools category of a tech stack.
xmysql is an open source tool with 96 GitHub stars and 30 GitHub forks. Hereβs a link to xmysql's open source repository on GitHub
Who uses xmysql?
Developers
5 developers on StackShare have stated that they use xmysql.
xmysql Integrations
xmysql's Features
- Generates API for ANY MySql database
- Serves APIs irrespective of naming conventions of primary keys, foreign keys, tables etc
- CRUD : Usual suspects
- Support for composite primary keys
- Pagination
- Sorting
- Column filtering - Fields
- Row filtering - Where
- Group By
- Group By, Order By
- Aggregate functions
- Relations
- Run dynamic queries
- Upload single file
- Upload multiple files
- Download file
- Group By, Having - Work in Progress - ππ
xmysql Alternatives & Comparisons
What are some alternatives to xmysql?
MySQL
The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
Slick
It is a modern database query and access library for Scala. It allows you to work with stored data almost as if you were using Scala collections while at the same time giving you full control over when a database access happens and which data is transferred.
Spring Data
It makes it easy to use data access technologies, relational and non-relational databases, map-reduce frameworks, and cloud-based data services. This is an umbrella project which contains many subprojects that are specific to a given database.
DataGrip
A cross-platform IDE that is aimed at DBAs and developers working with SQL databases.
Microsoft SQL Server Management Studio
It is an integrated environment for managing any SQL infrastructure, from SQL Server to Azure SQL Database. It provides tools to configure, monitor, and administer instances of SQL Server and databases. Use it to deploy, monitor, and upgrade the data-tier components used by your applications, as well as build queries and scripts.
