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  4. Redis Hosting
  5. ActiveMQ vs Redis To Go

ActiveMQ vs Redis To Go

OverviewComparisonAlternatives

Overview

Redis To Go
Redis To Go
Stacks51
Followers119
Votes18
ActiveMQ
ActiveMQ
Stacks880
Followers1.3K
Votes77
GitHub Stars2.4K
Forks1.5K

ActiveMQ vs Redis To Go: What are the differences?

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; Redis To Go: Simple Redis hosting. Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.

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

"Open source" is the top reason why over 9 developers like ActiveMQ, while over 4 developers mention "Heroku Add-on" as the leading cause for choosing Redis To Go.

ActiveMQ is an open source tool with 1.49K GitHub stars and 1.04K GitHub forks. Here's a link to ActiveMQ's open source repository on GitHub.

Intuit, Wix, and Bench are some of the popular companies that use ActiveMQ, whereas Redis To Go is used by Glu IO, Ahkio, and Blloon. ActiveMQ has a broader approval, being mentioned in 33 company stacks & 17 developers stacks; compared to Redis To Go, which is listed in 9 company stacks and 4 developer stacks.

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Detailed Comparison

Redis To Go
Redis To Go
ActiveMQ
ActiveMQ

Redis To Go was created to make the managing Redis instances easier, whether it is just one instance or serveral. Deploying a new instance of Redis is dead simple, whether for production or development.

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.

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Protect your data & Balance your Load; Easy enterprise integration patterns; Flexible deployment
Statistics
GitHub Stars
-
GitHub Stars
2.4K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
51
Stacks
880
Followers
119
Followers
1.3K
Votes
18
Votes
77
Pros & Cons
Pros
  • 5
    Heroku Add-on
  • 3
    Pub-Sub
  • 3
    Easy setup
  • 3
    Always up
  • 3
    Affordable
Pros
  • 18
    Easy to use
  • 14
    Open source
  • 13
    Efficient
  • 10
    JMS compliant
  • 6
    High Availability
Cons
  • 1
    Low resilience to exceptions and interruptions
  • 1
    ONLY Vertically Scalable
  • 1
    Support
  • 1
    Difficult to scale
Integrations
Nodejitsu
Nodejitsu
Heroku
Heroku
Engine Yard Cloud
Engine Yard Cloud
AppHarbor
AppHarbor
No integrations available

What are some alternatives to Redis To Go, ActiveMQ?

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.

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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