ActiveMQ vs Heroku Redis

Overview

ActiveMQ

Stacks879

Followers1.3K

Votes77

GitHub Stars2.4K

Forks1.5K

Heroku Redis

Stacks105

Followers163

Votes5

ActiveMQ vs Heroku Redis: What are the differences?

What is ActiveMQ? A message broker written in Java together with a full JMS client. 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.

What is Heroku Redis? Reliable and powerful Redis as a service. Heroku Redis is an in-memory key-value data store, run by Heroku, that is provisioned and managed as an add-on. Heroku Redis is accessible from any language with a Redis driver, including all languages and frameworks supported by Heroku.

ActiveMQ can be classified as a tool in the "Message Queue" category, while Heroku Redis is grouped under "Redis Hosting".

ActiveMQ is an open source tool with 1.51K GitHub stars and 1.05K GitHub forks. Here's a link to ActiveMQ's open source repository on GitHub.

According to the StackShare community, ActiveMQ has a broader approval, being mentioned in 33 company stacks & 17 developers stacks; compared to Heroku Redis, which is listed in 12 company stacks and 15 developer stacks.

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Detailed Comparison

ActiveMQ	Heroku Redis
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.	Heroku Redis is an in-memory key-value data store, run by Heroku, that is provisioned and managed as an add-on. Heroku Redis is accessible from any language with a Redis driver, including all languages and frameworks supported by Heroku.
Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment	Easily Optimize;Vertically Scalable
Statistics
GitHub Stars 2.4K	GitHub Stars -
GitHub Forks 1.5K	GitHub Forks -
Stacks 879	Stacks 105
Followers 1.3K	Followers 163
Votes 77	Votes 5
Pros & Cons
Pros 18 Easy to use 14 Open source 13 Efficient 10 JMS compliant 6 High Availability Cons 1 ONLY Vertically Scalable 1 Support 1 Difficult to scale 1 Low resilience to exceptions and interruptions	Pros 5 More reliable than the other Redis add-ons Cons 1 More expensive than the other options
Integrations
No integrations available	Heroku Redis

What are some alternatives to ActiveMQ, Heroku Redis?

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

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

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 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.

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

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 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

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

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.