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  5. RabbitMQ vs Realm React Native

RabbitMQ vs Realm React Native

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
Realm React Native
Realm React Native
Stacks45
Followers167
Votes1
GitHub Stars6.0K
Forks607

RabbitMQ vs Realm React Native: What are the differences?

Introduction

Here is a comparison between RabbitMQ and Realm React Native, focusing on their key differences.

  1. Installation and Setup: RabbitMQ is a message broker that relies on a server to be installed and configured. It is typically used for communication between different applications or microservices. On the other hand, Realm React Native is a mobile database that can be directly integrated into a React Native application without the need for a separate server installation.

  2. Data Persistence and Synchronization: RabbitMQ does not provide built-in data persistence and synchronization capabilities. It mainly focuses on message passing between different components or services. In contrast, Realm React Native offers seamless data persistence and automatic synchronization between devices and the server, ensuring that data remains consistent across platforms.

  3. Schema Definition and Flexibility: RabbitMQ does not enforce a strict schema for the messages being exchanged, giving developers the flexibility to define their own message formats. On the other hand, Realm React Native requires a predefined schema for the database, ensuring data consistency and type safety.

  4. Real-time Capabilities: RabbitMQ is primarily designed for asynchronous message passing, which means it may not be suitable for real-time applications that require instant updates. In contrast, Realm React Native supports real-time data synchronization, enabling real-time collaboration, chat applications, and other scenarios that demand immediate data updates.

  5. Cross-platform Compatibility: RabbitMQ can be used with various programming languages and platforms, making it a versatile choice for cross-platform development. In contrast, Realm React Native is specifically designed for mobile development using React Native. While it supports both iOS and Android, it may not be the best option for non-React Native projects.

  6. Community and Ecosystem: RabbitMQ has a large and mature community with extensive documentation, tutorials, and third-party integrations available. It is widely adopted and battle-tested in production environments. Realm React Native, while still popular and supported, may have a smaller community and ecosystem in comparison.

In summary, RabbitMQ is a message broker focused on connecting different components or services, while Realm React Native is a mobile database designed for seamless data persistence and synchronization within a React Native application. RabbitMQ provides more flexibility in message formats and cross-platform compatibility, but Realm React Native offers built-in real-time capabilities and a simpler installation process.

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Advice on RabbitMQ, Realm React Native

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
Realm React Native
Realm React Native

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

Realm JavaScript enables you to efficiently write your app’s model layer in a safe, persisted and fast way. It’s designed to work with React Native and Node.js.

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
6.0K
GitHub Forks
4.0K
GitHub Forks
607
Stacks
21.8K
Stacks
45
Followers
18.9K
Followers
167
Votes
558
Votes
1
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
  • 1
    Reactive Database
Integrations
No integrations available
React Native
React Native

What are some alternatives to RabbitMQ, Realm React Native?

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.

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.

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.

Memphis

Memphis

Highly scalable and effortless data streaming platform. Made to enable developers and data teams to collaborate and build real-time and streaming apps fast.

IronMQ

IronMQ

An easy-to-use highly available message queuing service. Built for distributed cloud applications with critical messaging needs. Provides on-demand message queuing with advanced features and cloud-optimized performance.

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