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Hibernate ORM VS Paris Orm

Compare Hibernate ORM VS Paris Orm and see what are their differences

Hibernate ORM logo Hibernate ORM

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

Paris Orm logo Paris Orm

Web engineer, technical director at @dabapps. Python, Django, etc. Also: music, photography, family.
  • Hibernate ORM Landing page
    Landing page //
    2022-04-25
  • Paris Orm Landing page
    Landing page //
    2020-01-31

Hibernate ORM features and specs

  • Abstraction
    Hibernate provides a high level of abstraction around database operations, which allows developers to focus on business logic rather than database interactions. This leads to reduced boilerplate code and improved productivity.
  • Automatic Schema Generation
    It offers the ability to automatically generate database schemas based on the entity mappings, which simplifies the process of setting up and maintaining the database schema.
  • Caching
    Hibernate includes a robust caching mechanism which can significantly improve application performance by reducing the number of database queries needed.
  • Lazy Loading
    Hibernate supports lazy loading, meaning that data is only fetched from the database when it is actually needed, which can help optimize performance and reduce unnecessary data retrieval.
  • Database Independence
    With Hibernate, applications can be more easily adapted to work with different underlying databases, as it abstracts away vendor-specific SQL code, promoting portability.

Possible disadvantages of Hibernate ORM

  • Complexity
    Hibernate can introduce additional complexity, especially for developers unfamiliar with ORM concepts, requiring a steep learning curve to effectively implement and manage.
  • Performance Overhead
    The abstraction layer Hibernate provides can introduce some performance overhead compared to native SQL, particularly in complex queries requiring fine-tuned optimization.
  • Debugging and Profiling Challenges
    Since Hibernate abstracts the database interactions, it can make it more difficult to debug and profile applications, particularly in relation to understanding and optimizing the generated SQL queries.
  • Memory Consumption
    The use of caching and session management within Hibernate can result in increased memory consumption, which needs careful management, particularly in large-scale applications.
  • Schema Update Limitations
    Automatic schema generation has its limits, and complex database updates or custom table designs might require manual intervention, limiting the automation benefits.

Paris Orm features and specs

  • Simplicity
    Paris provides a simple, intuitive Active Record implementation in PHP, making it easy for developers to interact with databases without complex setup.
  • Lightweight
    Being a lightweight ORM, Paris has minimal overhead and is easy to include in any project, making it suitable for small to medium-sized applications.
  • Flexible
    Paris offers flexibility by building on Idiorm, allowing developers to write custom queries when needed, thus providing both ease of use and control.
  • Easy Integration
    The ORM is easy to integrate with existing projects as it doesn't require any special frameworks, making it adaptable to various development environments.

Possible disadvantages of Paris Orm

  • Limited Features
    Compared to more comprehensive ORMs like Eloquent or Doctrine, Paris offers fewer features and functionalities, which might be restrictive for complex applications.
  • Community Support
    Paris has a smaller community and less support compared to more popular ORMs, which can result in limited resources for troubleshooting and learning.
  • Lack of Documentation
    The documentation for Paris is not as extensive or detailed as that of more widely-used ORMs, potentially leading to a steeper learning curve for new users.
  • No Built-in Caching
    Paris does not include built-in caching mechanisms, which could lead to performance bottlenecks in applications that require frequent database interactions.

Category Popularity

0-100% (relative to Hibernate ORM and Paris Orm)
Backend Development
68 68%
32% 32
Databases
79 79%
21% 21
Custom Search Engine
100 100%
0% 0
Search Engine
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Hibernate ORM seems to be more popular. It has been mentiond 11 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Hibernate ORM mentions (11)

  • ORMs Are Annoying! Until You Try Living Without One
    Then I was introduced to Hibernate ORM in Java. Later, Sequelize ORM in Node.js. And eventually, Mongoose ODM with MongoDB. Suddenly, everything was an object, everything had a schema, and everything required a model definition. - Source: dev.to / about 1 year ago
  • Create a simple REST application using Quarkus
    This quick start guide gets you up and running with Quarkus on macOS, including necessary tools. You will build a basic database application using Quarkus, Java 17, PostgreSQL, and Hibernate ORM Panache. While Hibernate ORM is the standard, powerful Jakarta Persistence implementation capable of complex mappings, it doesn't always make the most common tasks trivial. Hibernate ORM with Panache is Quarkus's solution... - Source: dev.to / about 1 year ago
  • How to Monitor SQL Performance in Spring Boot
    Slow SQL queries can cripple your Spring Boot application. Monitoring SQL performance is essential to keep your app running smoothly, and tools like Spring Boot Actuator, Hibernate Statistics, and Micrometer make it easier. - Source: dev.to / over 1 year ago
  • Let's write a simple microservice in Clojure
    Postgres-based persistence with a pretty straightforward mapping of SQL queries to Clojure functions. If you have ever used Java with Hibernate ORM for data persistence, you will feel relief after working with the database in Clojure with Hugsql. The model of the persistence layer is much simpler and easier to understand without the need for Session Cache, Application Level Cache and Query Cache. Debugging is... - Source: dev.to / about 2 years ago
  • MediatR and where to put the command classes
    This is so close to perfection. For me though application shouldn't have a coupling with entity framework. If you wanted to switch out EF to use hibernate (https://hibernate.org/orm/)? you're application is coupled to EF and would require a lot more work. Source: over 3 years ago
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Paris Orm mentions (0)

We have not tracked any mentions of Paris Orm yet. Tracking of Paris Orm recommendations started around Mar 2021.

What are some alternatives?

When comparing Hibernate ORM and Paris Orm, you can also consider the following products

DevExpress XPO - Free-of-Charge (without Technical Support), also see GitHub and Benchmarks.

Nette - Home Page. Let's create the home page displaying your recent posts. Before we start, you should know at least some basics about Model-View-Presenter design pattern (similar to MVC ):. Model โ€“ data manipulation layer.

LLBLGen Pro - LLBLGen Pro: Using databases in your .NET code made easy. The entity modeling solution for Entity Framework, LLBLGen Pro Runtime Framework, NHibernate and Linq to SQL.

Eloquent ORM - [READ ONLY] Subtree split of the Illuminate Database component (see laravel/framework) - illuminate/database

Entity Framework - See Comparison of Entity Framework vs NHibernate.

Apache Solr - Solr is an open source enterprise search server based on Lucene search library, with XML/HTTP and...