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."I like the performance and reliability of Kafka. I needed a data streaming buffer that could handle thousands of messages per second with at least one processing point for an analytics pipeline. Kafka fits this requirement very well."
"Apache Kafka has good integration capabilities and has plenty of adapters in its ecosystem if you want to build something. There are adapters for many platforms, such as Java, Azure, and Microsoft's ecosystem. Other solutions, such as Pulsar have fewer adapters available."
"Apache Kafka is actually a distributed commit log. That is different than most messaging and queuing systems before it."
"All the features of Apache Kafka are valuable, I cannot single out one feature."
"The stability is very nice. We currently manage 50 million events daily."
"The most valuable feature of Apache Kafka is Kafka Connect."
"Apache Kafka is an open-source solution that can be used for messaging or event processing."
"The most important feature for me is the guaranteed delivery of messages from producers to consumers."
"The product offers fast access to my database."
"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."
"I use Redis mostly to cache repeated data that is required."
"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."
"The solution's technical support team is good...The solution's initial setup process was straightforward."
"Redis is a simple, powerful, and fast solution."
"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."
"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."
"Kafka is a nightmare to administer."
"Lacks elasticity and the ability to scale down."
"Apache Kafka has performance issues that cause it to lag."
"Apache Kafka can improve by adding a feature out of the box which allows it to deliver only one message."
"The repository isn't working very well. It's not user friendly."
"Observability could be improved."
"In the next release, I would like for there to be some authorization and HTL security."
"The model where you create the integration or the integration scenario needs improvement."
"There is a lack of documentation on the scalability of the solution."
"It's actually quite expensive."
"The initial setup took some time as our technical team needed to familiarize themselves with Redis."
"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."
"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."
"The tool should improve by increasing its size limits and handling dynamic data better. We use the client ID or associate it with a key for static content. The solution will not be easy for a beginner. Unless you understand SQL data, it will be difficult to understand and use Redis. It also needs to be user-friendly."
"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."
"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."
Apache Kafka is ranked 1st in Message Queue (MQ) Software with 78 reviews while Redis is ranked 6th 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 Amazon SQS, Google Cloud Memorystore, Chroma, ActiveMQ and IBM MQ. See our Apache Kafka vs. Redis report.
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