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  1. Stackups
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  4. Message Queue
  5. Hibernate vs RabbitMQ

Hibernate vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Hibernate
Hibernate
Stacks1.8K
Followers1.2K
Votes34
GitHub Stars0
Forks0

Hibernate vs RabbitMQ: What are the differences?

Introduction

In this article, we will discuss the key differences between Hibernate and RabbitMQ.

  1. Data Management: Hibernate is an object-relational mapping (ORM) framework that allows developers to map Java objects to database tables. It provides a way to persist and fetch data from the database using object-oriented programming concepts. On the other hand, RabbitMQ is a messaging broker that enables applications to communicate with each other by sending and consuming messages. It focuses on message-oriented communication and ensures reliable delivery of messages between different systems.

  2. Purpose: Hibernate is primarily used for managing data persistence and performing database operations such as CRUD (Create, Read, Update, Delete) operations. It abstracts the underlying database and provides a high-level API for developers to interact with the database using objects. RabbitMQ, on the other hand, is used for asynchronous communication between various components or systems in a distributed architecture. It decouples the sender and receiver of messages, ensuring loose coupling and scalability.

  3. Data Representation: Hibernate deals with structured data that is stored in a relational database. It maps Java objects to database tables and allows developers to perform operations on the data using object-oriented constructs. RabbitMQ, on the other hand, deals with messages in an unstructured format. Messages can be in any format like JSON, XML, or plain text, and they are sent and received by applications using messaging queues.

  4. Transaction Management: Hibernate provides built-in support for transaction management. It allows developers to define and control transactions to ensure data integrity and consistency. Transactions can be managed using annotations or programmatically using APIs provided by Hibernate. RabbitMQ does not have built-in support for transaction management. If transactional messaging is required, developers need to handle it manually by implementing an appropriate design pattern like the "compensating transaction pattern".

  5. Communication Pattern: Hibernate follows a request-response communication pattern between the application and the database. The application sends a request to the database and waits for a response. RabbitMQ, on the other hand, follows a publish-subscribe communication pattern. Publishers send messages to a specific exchange, and subscribers receive messages from queues bound to that exchange. It supports multiple types of exchanges and routing mechanisms for flexible message routing.

  6. Scalability and Performance: Hibernate is designed for managing relational databases and is well-suited for applications with moderate to high data volume and complex relationships. It provides caching mechanisms and optimizations to improve performance. RabbitMQ, on the other hand, is designed for handling a large number of messages and is highly scalable. It can handle massive traffic and distribute messages across multiple consumers for parallel processing.

In Summary, Hibernate is an ORM framework used for data persistence and management in relational databases, whereas RabbitMQ is a messaging broker used for asynchronous communication between distributed systems through message queues.

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Advice on RabbitMQ, Hibernate

viradiya
viradiya

Apr 12, 2020

Needs adviceonAngularJSAngularJSASP.NET CoreASP.NET CoreMSSQLMSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k
Comments
Pulkit
Pulkit

Software Engineer

Oct 30, 2020

Needs adviceonDjangoDjangoAmazon SQSAmazon SQSRabbitMQRabbitMQ

Hi! I am creating a scraping system in Django, which involves long running tasks between 1 minute & 1 Day. As I am new to Message Brokers and Task Queues, I need advice on which architecture to use for my system. ( Amazon SQS, RabbitMQ, or Celery). The system should be autoscalable using Kubernetes(K8) based on the number of pending tasks in the queue.

474k views474k
Comments
Meili
Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceonZeroMQZeroMQRabbitMQRabbitMQAmazon SQSAmazon SQS

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to:

  • Not loose messages in services outages
  • Safely restart service without losing messages (@{ZeroMQ}|tool:1064| seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

500k views500k
Comments

Detailed Comparison

RabbitMQ
RabbitMQ
Hibernate
Hibernate

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

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

Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported
-
Statistics
GitHub Stars
13.2K
GitHub Stars
0
GitHub Forks
4.0K
GitHub Forks
0
Stacks
21.8K
Stacks
1.8K
Followers
18.9K
Followers
1.2K
Votes
558
Votes
34
Pros & Cons
Pros
  • 235
    It's fast and it works with good metrics/monitoring
  • 80
    Ease of configuration
  • 60
    I like the admin interface
  • 52
    Easy to set-up and start with
  • 22
    Durable
Cons
  • 9
    Too complicated cluster/HA config and management
  • 6
    Needs Erlang runtime. Need ops good with Erlang runtime
  • 5
    Configuration must be done first, not by your code
  • 4
    Slow
Pros
  • 22
    Easy ORM
  • 8
    Easy transaction definition
  • 3
    Is integrated with spring jpa
  • 1
    Open Source
Cons
  • 3
    Can't control proxy associations when entity graph used
Integrations
No integrations available
Java
Java

What are some alternatives to RabbitMQ, Hibernate?

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

Amazon SQS

Amazon SQS

Transmit any volume of data, at any level of throughput, without losing messages or requiring other services to be always available. With SQS, you can offload the administrative burden of operating and scaling a highly available messaging cluster, while paying a low price for only what you use.

NSQ

NSQ

NSQ is a realtime distributed messaging platform designed to operate at scale, handling billions of messages per day. It promotes distributed and decentralized topologies without single points of failure, enabling fault tolerance and high availability coupled with a reliable message delivery guarantee. See features & guarantees.

Sequelize

Sequelize

Sequelize is a promise-based ORM for Node.js and io.js. It supports the dialects PostgreSQL, MySQL, MariaDB, SQLite and MSSQL and features solid transaction support, relations, read replication and more.

ActiveMQ

ActiveMQ

Apache ActiveMQ is fast, supports many Cross Language Clients and Protocols, comes with easy to use Enterprise Integration Patterns and many advanced features while fully supporting JMS 1.1 and J2EE 1.4. Apache ActiveMQ is released under the Apache 2.0 License.

ZeroMQ

ZeroMQ

The 0MQ lightweight messaging kernel is a library which extends the standard socket interfaces with features traditionally provided by specialised messaging middleware products. 0MQ sockets provide an abstraction of asynchronous message queues, multiple messaging patterns, message filtering (subscriptions), seamless access to multiple transport protocols and more.

Apache NiFi

Apache NiFi

An easy to use, powerful, and reliable system to process and distribute data. It supports powerful and scalable directed graphs of data routing, transformation, and system mediation logic.

Prisma

Prisma

Prisma is an open-source database toolkit. It replaces traditional ORMs and makes database access easy with an auto-generated query builder for TypeScript & Node.js.

Gearman

Gearman

Gearman allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events.

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