What is QueryDSL?
It is an extensive Java framework, which allows for the generation of type-safe queries in a syntax similar to SQL. It currently has a wide range of support for various backends through the use of separate modules including JPA, JDO, SQL, Java collections, RDF, Lucene, Hibernate Search, and MongoDB
QueryDSL is a tool in the Java Tools category of a tech stack.
QueryDSL is an open source tool with 4.8K GitHub stars and 880 GitHub forks. Here’s a link to QueryDSL's open source repository on GitHub
Who uses QueryDSL?
Companies
19 companies reportedly use QueryDSL in their tech stacks, including Tech-Stack, truedoc-server, and MOVILL.
Developers
71 developers on StackShare have stated that they use QueryDSL.
QueryDSL Integrations
Java, MongoDB, Gradle, Spring, and Eclipse are some of the popular tools that integrate with QueryDSL. Here's a list of all 5 tools that integrate with QueryDSL.
QueryDSL's Features
- Working with raw SQL
- Non-persistent collections
- NoSQL databases
- Full-text search
QueryDSL Alternatives & Comparisons
What are some alternatives to QueryDSL?
jOOQ
It implements the active record pattern. Its purpose is to be both relational and object oriented by providing a domain-specific language to construct queries from classes generated from a database schema.
Hibernate
Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.
JavaScript
JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
Python
Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
Node.js
Node.js uses an event-driven, non-blocking I/O model that makes it lightweight and efficient, perfect for data-intensive real-time applications that run across distributed devices.
