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."It seemed pretty stable and didn't have any issues at all."
"One of the most valuable features I have found is Kafka Connect."
"It's an open-source product, which means it doesn't cost us anything to use it."
"The publisher-subscriber pattern and low latency are also essential features that greatly piqued my interest."
"Kafka provides us with a way to store the data used for analytics. That's the big selling point. There's very good log management."
"Excellent speeds for publishing messages faster."
"Robust and delivers messages quickly."
"Kafka is scalable. It can manage a high volume of data from many sources."
"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 most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."
"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 product offers fast access to my database."
"Redis is a simple, powerful, and fast solution."
"The in-memory data makes it fast."
"The solution's technical support team is good...The solution's initial setup process was straightforward."
"The ability to fetch and save data quickly is valuable."
"An area for improvement would be growth."
"The UI is based on command line. It would be helpful if they could come up with a simpler user interface."
"The price for the enterprise version is quite high. It would be better to have a lower price."
"Prioritization of messages in Apache Kafka could improve."
"I would like to see monitoring service tools."
"There have been some challenges with monitoring Apache Kafka, as there are currently only a few production-grade solutions available, which are all under enterprise license and therefore not easily accessible. The speaker has not had access to any of these solutions and has instead relied on tools, such as Dynatrace, which do not provide sufficient insight into the Apache Kafka system. While there are other tools available, they do not offer the same level of real-time data as enterprise solutions."
"The management overhead is more compared to the messaging system. There are challenges here and there. Like for long usage, it requires restarts and nodes from time to time."
"Apache Kafka could improve data loss and compatibility with Spark."
"If we use a lot of data, it will eventually cost us a lot."
"It's actually quite expensive."
"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."
"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 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."
"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."
"There is a lack of documentation on the scalability of the solution."
"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 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 Amazon SQS, Google Cloud Memorystore, Chroma, ActiveMQ and IBM MQ. See our Apache Kafka vs. Redis report.
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