RabbitMQ vs. Redis Software

If you are looking for a message broker, RabbitMQ is pretty good. Its API lets you create tons of queues on demand and publish to all of them at once, while you can have 10+ consumers on each queue. It also does a good job of absorbing bursts of traffic. We've seen our queues get backed up to 3 million messages with no problem. In the modern era of GDPR, you may run into problems with keeping messages encrypted out of the box in-flight and at-rest with RabbitMQ. Not saying it's impossible, but it's tough to set up and you have to pay a high overload.

Incentivized

Perfect solution for caching needs. If you have a bottleneck due to frequent data access to your database, then Redis can really help you by diverting those traffic away from your database. Its key/value pair structure also makes data lookup very efficient, providing excellent performance.

Incentivized

• What RabbitMQ does well is what it's advertised to do. It is good at providing lots of high volume, high availability queue. We've seen it handle upwards of 10 million messages in its queues, spread out over 200 queues before its publish/consume rates dipped. So yeah, it can definitely handle a lot of messages and a lot of queues. Depending on the size of the machine RabbitMQ is running on, I'm sure it can handle more.
• Decent number of plugins! Want a plugin that gives you an interface to view all the queues and see their publish/consume rates? Yes, there's one for that. Want a plugin to "shovel" messages from one queue to another in an emergency? Check. Want a plugin that does extra logging for all the messages received? Got you covered!
• Lots of configuration possibilities. We've tuned over 100 settings over the past year to get the performance and reliability just right. This could be a downside though--it's pretty confusing and some settings were hard to understand.

Incentivized

• Easy for developers to understand. Unlike Riak, which I've used in the past, it's fast without having to worry about eventual consistency.
• Reliable. With a proper multi-node configuration, it can handle failover instantly.
• Configurable. We primarily still use Memcache for caching but one of the teams uses Redis for both long-term storage and temporary expiry keys without taking on another external dependency.
• Fast. We process tens of thousands of RPS and it doesn't skip a beat.

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• It breaks communication if we don't acknowledge early. In some cases our work items are time consuming that will take a time and in that scenario we are getting errors that RabbitMQ broke the channel. It will be good if RabbitMQ provides two acknowledgements, one is for that it has been received at client side and second ack is client is completed the processing part.

Incentivized

• Redis is super fast but it comes with a cost. Whole dataset resides in RAM. So it can be costly as primary memory is more costly, then secondary ones.
• Persistence issues: To achieve it, Redis uses a memory dump to create a persistence snapshot, that's cool. But it requires some Linux Kernel tweaking to avoid performance degradation while the Redis server process is forking. This further causes latency.
• Master-slave structure side effect: Master-slave architecture comes with its own side effects. Please note that there will be only one master with multiple slaves for replication. All writing goes to the master, which creates more load on the master node. So, when the master goes down, the whole architecture does.

Incentivized

We will definitely continue using Redis because: 1. It is free and open source. 2. We already use it in so many applications, it will be hard for us to let go. 3. There isn't another competitive product that we know of that gives a better performance. 4. We never had any major issues with Redis, so no point turning our backs.

Incentivized

RabbitMQ is very usable if you are a programmer or DevOps engineer. You can setup and configure a messaging system without any programmatic knowledge either through an admin console plugin or through a command-line interface. It's very easy to spin up additional consumers when volume is heavy and it's very easy to manage those consumers either through automated scripting or through their admin console. Because it's language agnostic it integrates with any system supporting AMQP.

Incentivized

It is quite simple to set up for the purpose of managing user sessions in the backend. It can be easily integrated with other products or technologies, such as Spring in Java. If you need to actually display the data stored in Redis in your application this is a bit difficult to understand initially but is possible.

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I gave it a 10 but we do not have a support contract with any company for RabbitMQ so there is no official support in that regard. However, there is a community and questions asked on StackOverflow or any other major question and answer site will usually get a response.

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The support team has always been excellent in handling our mostly questions, rarely problems. They are responsive, find the solution and get us moving forward again. I have never had to escalate a case with them. They have always solved our problems in a very timely manner. I highly commend the support team.

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Whitelisting of the AWS lambda functions.

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It is very easy to use as it has a simple function to connect and use RabbitMQ. It is having Fast Learning curve, Any newbies can learn it in a week or month. It is having proper documentation, we are able to find all the details about its functionality and usage of it. The Features of RabbitMQ are providing are matching with our business requirements.

Incentivized

UI isn't that great compared to the other competitors. The management of our memcached cluster was becoming pretty complicated as the application grew in size. Redis is a much better option compared to memcached. Redis is bit unreliable compared to the alternative RabbitMQ especially when it needs to be integrated with Celery.

Incentivized

• Earlier we had a problem with missing work items with our own implementation but later using RabbitMQ is solved a problem. Now our job processing mechanism is highly reliable.
• We also had a problem with scaling, processing 1k work items per second. RabbitMQ helped us to scale well with increasing work items.

Incentivized

• Existing tools like Redisson that were built over Redis reduced dev time in solving challenging problems, which had a positive impact on ROI.
• We initially misused Redis for persistent storage which had a negative impact on ROI because we were paying a lot for inactive users.
• The increased performance we achieved using Redis in areas like locking helped us improve the performance of our system reducing the likelihood of system timeouts.

Incentivized