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Hibernate vs peewee: What are the differences?
Hibernate: 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; peewee: A small, expressive ORM -- supports postgresql, mysql and sqlite. A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.
Hibernate and peewee belong to "Object Relational Mapper (ORM)" category of the tech stack.
peewee is an open source tool with 6.64K GitHub stars and 1.1K GitHub forks. Here's a link to peewee's open source repository on GitHub.
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Learn MorePros of Hibernate
Pros of peewee
Pros of Hibernate
- Easy ORM22
- Easy transaction definition8
- Is integrated with spring jpa3
- Open Source1
Pros of peewee
- Easy to start7
- Free4
- High Performance4
- Open Source4
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Cons of Hibernate
Cons of peewee
Cons of Hibernate
- Can't control proxy associations when entity graph used3
Cons of peewee
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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 peewee?
A small, expressive orm, written in python (2.6+, 3.2+), with built-in support for sqlite, mysql and postgresql and special extensions like hstore.
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What companies use Hibernate?
What companies use peewee?
What companies use Hibernate?
What companies use peewee?
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What tools integrate with Hibernate?
What tools integrate with peewee?
What tools integrate with Hibernate?
What tools integrate with peewee?
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What are some alternatives to Hibernate and peewee?
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.