StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Utilities
  3. Background Jobs
  4. Message Queue
  5. IronMQ vs Redis Cloud

IronMQ vs Redis Cloud

OverviewComparisonAlternatives

Overview

IronMQ
IronMQ
Stacks35
Followers49
Votes36
Redis Cloud
Redis Cloud
Stacks69
Followers125
Votes9

IronMQ vs Redis Cloud: What are the differences?

Introduction: In the world of data storage and management services, IronMQ and Redis Cloud are two popular options that offer unique features and functionalities to cater to different business needs.

  1. Scalability and Performance: IronMQ is a message queue service that is designed to handle large quantities of messages in a scalable and efficient manner. It can seamlessly scale to accommodate increasing workloads and ensure high performance. On the other hand, Redis Cloud is a managed Redis service that excels in delivering lightning-fast performance for real-time applications, caching, and data processing tasks. It is known for its in-memory capabilities that contribute to low latency and high throughput.

  2. Data Persistence: IronMQ focuses on message durability by persisting messages in multiple data centers to ensure high availability and data integrity. It offers reliable message queuing with built-in redundancy to prevent data loss. In contrast, Redis Cloud emphasizes data persistence by providing various persistence options, including snapshotting and AOF (Append-Only File) persistence. This ensures that data is safely stored and can be recovered in case of failures.

  3. Data Structure Support: IronMQ primarily supports message queuing and processing through various message types like JSON, XML, and binary data. It excels in handling message-based workloads efficiently. Redis Cloud, on the other hand, supports a wide range of data structures such as strings, hashes, lists, sets, and sorted sets. This versatility makes Redis Cloud suitable for diverse use cases requiring complex data manipulation and analytics.

  4. Real-time Processing Capabilities: IronMQ is optimized for message processing and event-driven architectures where real-time data delivery is crucial. It ensures reliable message delivery and enables seamless communication between distributed systems. In comparison, Redis Cloud is known for its real-time data processing capabilities, making it ideal for use cases that demand low latency, high throughput, and instant data access.

  5. Hosting and Deployment Options: IronMQ offers a cloud-based message queue service with the flexibility to deploy on a public cloud, private cloud, or hybrid cloud environment. This adaptability caters to different organizational requirements and resource allocations. Redis Cloud, in contrast, is a fully managed service provided by Redis Labs that eliminates the need for users to manage infrastructure, offering a hassle-free deployment experience on various cloud platforms like AWS, Azure, and GCP.

  6. Pricing and Cost Considerations: IronMQ follows a pay-as-you-go pricing model based on the number of messages and message operations, offering cost-effective scalability for businesses with fluctuating workloads. Redis Cloud, on the other hand, provides pricing based on instance size, memory capacity, and additional features, allowing users to choose a plan that aligns with their performance and budget requirements.

In Summary, IronMQ and Redis Cloud differ in terms of scalability, data persistence, data structure support, real-time processing capabilities, hosting options, and pricing models to address diverse data storage and management needs.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

IronMQ
IronMQ
Redis Cloud
Redis Cloud

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.

Redis Cloud is a fully-managed service for running your Redis dataset. It overcomes Redis’ scalability limitation by supporting all Redis commands at any dataset size. Your dataset is constantly replicated, so if a node fails, an auto-switchover mechanism guarantees data is served without interruption.

Instant High Availability- Runs on top cloud infrastructures and uses multiple high-availability data centers. Uses reliable datastores for message durability and persistence.;Easy to Use- IronMQ is super easy to use. Simply connect directly to the API endpoints and you're ready to create and use queues. There are also client libraries available in any language you want – Ruby, Python, PHP, Java, .NET, Go, Node.JS, and more;Scalable / High Performance- Built using high-performance languages designed for concurrency and runs on industrial-strength clouds. Push messages and stream data at will without worrying about memory limits or adding more servers.;Realtime Monitoring- Get realtime monitoring of your message queues through IronMQ's beautiful dashboard. This allows you to quickly find, diagnose, and resolve problems before others notice.;One-time FIFO delivery;Push Queues and publish-subscribe support;Queue messages using webhooks
Infinite scalability, all commands supported;Auto-failover with no ops;Highest performance, even for small datasets;Fully managed — completely hassle-free
Statistics
Stacks
35
Stacks
69
Followers
49
Followers
125
Votes
36
Votes
9
Pros & Cons
Pros
  • 12
    Great Support
  • 8
    Heroku Add-on
  • 3
    Push support
  • 3
    Delayed delivery upto 7 days
  • 2
    Super fast
Cons
  • 1
    Can't use rabbitmqadmin
Pros
  • 9
    Heroku Addon
Integrations
Amazon EC2
Amazon EC2
Heroku
Heroku
Engine Yard Cloud
Engine Yard Cloud
Rackspace Cloud Servers
Rackspace Cloud Servers
Red Hat OpenShift
Red Hat OpenShift
StackMob
StackMob
AppFog
AppFog
cloudControl
cloudControl
No integrations available

What are some alternatives to IronMQ, Redis Cloud?

Kafka

Kafka

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

RabbitMQ

RabbitMQ

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

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase