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 4.3K GitHub stars and 830 GitHub forks. Here’s a link to QueryDSL's open source repository on GitHub
Who uses QueryDSL?
Companies
12 companies reportedly use QueryDSL in their tech stacks, including Tech-Stack, truedoc-server, and MOVILL.
Developers
49 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.
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.
guava
The Guava project contains several of Google's core libraries that we rely on in our Java-based projects: collections, caching, primitives support, concurrency libraries, common annotations, string processing, I/O, and so forth.
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.
