Need advice about which tool to choose?Ask the StackShare community!
ActiveMQ vs 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 Redis? An in-memory database that persists on disk. Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets.
ActiveMQ and Redis are primarily classified as "Message Queue" and "In-Memory Databases" tools respectively.
"Open source" is the primary reason why developers consider ActiveMQ over the competitors, whereas "Performance" was stated as the key factor in picking Redis.
ActiveMQ and Redis are both open source tools. Redis with 37.1K GitHub stars and 14.3K forks on GitHub appears to be more popular than ActiveMQ with 1.49K GitHub stars and 1.04K GitHub forks.
According to the StackShare community, Redis has a broader approval, being mentioned in 3239 company stacks & 1732 developers stacks; compared to ActiveMQ, which is listed in 33 company stacks and 17 developer stacks.
Pros of ActiveMQ
- Easy to use16
- Open source13
- Efficient12
- JMS compliant10
- High Availability6
- Scalable5
- Support XA (distributed transactions)3
- Persistence3
- Distributed Network of brokers2
- Highly configurable1
- Docker delievery1
- RabbitMQ0
Pros of Redis
- Performance877
- Super fast535
- Ease of use511
- In-memory cache442
- Advanced key-value cache321
- Open source190
- Easy to deploy179
- Stable163
- Free153
- Fast120
- High-Performance40
- High Availability39
- Data Structures34
- Very Scalable32
- Replication23
- Great community20
- Pub/Sub19
- "NoSQL" key-value data store17
- Hashes14
- Sets12
- Sorted Sets10
- Lists9
- BSD licensed8
- NoSQL8
- Async replication7
- Integrates super easy with Sidekiq for Rails background7
- Bitmaps7
- Open Source6
- Keys with a limited time-to-live6
- Strings5
- Lua scripting5
- Awesomeness for Free!4
- Hyperloglogs4
- outstanding performance3
- Runs server side LUA3
- Networked3
- LRU eviction of keys3
- Written in ANSI C3
- Feature Rich3
- Transactions3
- Data structure server2
- Performance & ease of use2
- Existing Laravel Integration1
- Automatic failover1
- Easy to use1
- Object [key/value] size each 500 MB1
- Simple1
- Channels concept1
- Scalable1
- Temporarily kept on disk1
- Dont save data if no subscribers are found1
- Jk0
Sign up to add or upvote prosMake informed product decisions
Cons of ActiveMQ
- Low resilience to exceptions and interruptions1
- Difficult to scale1
- Support1
Cons of Redis
- Cannot query objects directly12
- No WAL1
- No secondary indexes for non-numeric data types1
Sign up to add or upvote consMake informed product decisions
What is ActiveMQ?
What is Redis?
Need advice about which tool to choose?Ask the StackShare community!
What companies use ActiveMQ?
Sign up to get full access to all the companiesMake informed product decisions
What tools integrate with Redis?
Sign up to get full access to all the tool integrationsMake informed product decisions
Blog Posts
Redis is a good caching tool for a cluster, but our application had performance issues while using Aws Elasticache Redis since some page had 3000 cache hits per a page load and Redis just couldn't quickly process them all in once + latency and object deseialization time - page load took 8-9 seconds. We create a custom hybrid caching based on Redis and EhCache which worked great for our goals. Check it out on github, it's called HybriCache - https://github.com/batir-akhmerov/hybricache.
Redis is used for storing all ephemeral (that's data you don't necessarily want to store permanently) user data, such as mapping of session IDs (stored in cookies) to current session variables at Cloudcraft.co. The many datastructures supported by Redis also makes it an excellent caching and realtime statistics layer. It doesn't hurt that the author, Antirez, is the nicest guy ever! These days, I would be really hard pressed to find any situation where I would pick something like Memcached over Redis.
Trello uses Redis for ephemeral data that needs to be shared between server processes but not persisted to disk. Things like the activity level of a session or a temporary OpenID key are stored in Redis, and the application is built to recover gracefully if any of these (or all of them) are lost. We run with allkeys-lru enabled and about five times as much space as its actual working set needs, so Redis automatically discards data that hasn’t been accessed lately, and reconstructs it when necessary.
The UI has message inbox that is sent a message when you get a new badge, receive a message, significant event, etc. Done using WebSockets and is powered by redis. Redis has 2 slaves, SQL has 2 replicas, tag engine has 3 nodes, elastic has 3 nodes - any other service has high availability as well (and exists in both data centers).
Redis makes certain operations very easy. When I need a high-availability store, I typically look elsewhere, but for rapid development with the ability to land on your feet in prod, Redis is great. The available data types make it easy to build non-trivial indexes that would require complex queries in postgres.
I use Redis for cacheing, data storage, mining and augmentation, proprietary distributed event system for disparate apps and services to talk to each other, and more. Redis has some very useful native data types for tracking, slicing and dicing information.