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Hibernate vs Objection.js: What are the differences?

Developers describe Hibernate as "Idiomatic persistence for Java and relational databases". Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper. On the other hand, Objection.js is detailed as "It is an ORM for Node.js". It aims to stay out of your way and make it as easy as possible to use the full power of SQL and the underlying database engine while still making the common stuff easy and enjoyable.

Hibernate and Objection.js belong to "Object Relational Mapper (ORM)" category of the tech stack.

Objection.js is an open source tool with 4.26K GitHub stars and 344 GitHub forks. Here's a link to Objection.js's open source repository on GitHub.

According to the StackShare community, Hibernate has a broader approval, being mentioned in 133 company stacks & 404 developers stacks; compared to Objection.js, which is listed in 5 company stacks and 4 developer stacks.

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Pros of Hibernate
Pros of Objection.js
  • 22
    Easy ORM
  • 8
    Easy transaction definition
  • 3
    Is integrated with spring jpa
  • 1
    Open Source
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    Cons of Hibernate
    Cons of Objection.js
    • 3
      Can't control proxy associations when entity graph used
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      What is Hibernate?

      Hibernate is a suite of open source projects around domain models. The flagship project is Hibernate ORM, the Object Relational Mapper.

      What is Objection.js?

      It aims to stay out of your way and make it as easy as possible to use the full power of SQL and the underlying database engine while still making the common stuff easy and enjoyable.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Hibernate?
      What companies use Objection.js?
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      What tools integrate with Hibernate?
      What tools integrate with Objection.js?

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      What are some alternatives to Hibernate and Objection.js?
      MyBatis
      It is a first class persistence framework with support for custom SQL, stored procedures and advanced mappings. It eliminates almost all of the JDBC code and manual setting of parameters and retrieval of results. It can use simple XML or Annotations for configuration and map primitives, Map interfaces and Java POJOs (Plain Old Java Objects) to database records.
      Spring
      A key element of Spring is infrastructural support at the application level: Spring focuses on the "plumbing" of enterprise applications so that teams can focus on application-level business logic, without unnecessary ties to specific deployment environments.
      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.
      PostgreSQL
      PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
      MongoDB
      MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
      See all alternatives