We performed a comparison between Apache Kafka and Redis based on real PeerSpot user reviews.
Find out in this report how the two Message Queue (MQ) Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."When comparing it with other messaging and integration platforms, this is one of the best rated."
"The use of Kafka's logging mechanism has been extremely beneficial for us, as it allows us to sequence messages, track pointers, and manage memory without having to create multiple copies."
"The most valuable feature is that it can handle high volume."
"Resiliency is great and also the fact that it handles different data formats."
"The solution is very scalable. We started with a cluster of three and then scaled it to seven."
"Kafka, as compared with other messaging system options, is great for large scale message processing applications. It offers high throughput with built-in fault-tolerance and replication."
"The stability is very nice. We currently manage 50 million events daily."
"Kafka allows you to handle huge amounts of data and classify it into different categories. If you have huge amounts of data, Kafka is a very good solution for data classification."
"The ability to fetch and save data quickly is valuable."
"The online interface is very fast and easy to use."
"The best thing about Redis is its ability to handle large amounts of data without frequently hitting the database. You can store data in temporary memory, especially for high-volume data."
"The solution's technical support team is good...The solution's initial setup process was straightforward."
"The in-memory data makes it fast."
"Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you use Redis efficiently."
"I use Redis mostly to cache repeated data that is required."
"Redis is a simple, powerful, and fast solution."
"Something that could be improved is having an interface to monitor the consuming rate."
"The support on Apache Kafka could be improved."
"Apache Kafka can improve by providing a UI for monitoring. There are third-party tools that can do it, but it would be nice if it was already embedded within Apache Kafka."
"One complexity that I faced with the tool stems from the fact that since it is not kind of a stand-alone application, it won't integrate with native cloud, like AWS or Azure."
"Apache Kafka has performance issues that cause it to lag."
"An area for improvement would be growth."
"The solution's initial setup process was complex."
"Apache Kafka can improve by adding a feature out of the box which allows it to deliver only one message."
"The only thing is the lack of a GUI application. There was a time when we needed to resolve an issue in production. If we had a GUI, it would have been easier."
"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."
"The initial setup took some time as our technical team needed to familiarize themselves with Redis."
"If we use a lot of data, it will eventually cost us a lot."
"I would prefer it if there was more information available about Redis. That would make it easier for new beginners. Currently, there is a lack of resources."
"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."
"There is a lack of documentation on the scalability of the solution."
"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."
Apache Kafka is ranked 1st in Message Queue (MQ) Software with 78 reviews while Redis is ranked 7th in Database as a Service with 11 reviews. Apache Kafka is rated 8.0, while Redis is rated 8.4. The top reviewer of Apache Kafka writes "Real-time processing and reliable for data integrity". On the other hand, the top reviewer of Redis writes "Enables efficient caching and helps users fetch and save data quickly". Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, Anypoint MQ and Memphis, whereas Redis is most compared with Google Cloud Memorystore, Amazon SQS, Chroma, ActiveMQ and Pinecone. See our Apache Kafka vs. Redis report.
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