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."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 most valuable features of the solution revolve around areas like the latency part, where the tool offers very little latency and the sequencing part."
"As a software developer, I have found Apache Kafka's support to be the most valuable...The solution is easy to integrate with any of our systems."
"Its availability is brilliant."
"Ease of use."
"Apache Kafka is scalable. It is easy to add brokers."
"The stability is very nice. We currently manage 50 million events daily."
"The most valuable feature is that it can handle high volume."
"I use Redis mostly to cache repeated data that is required."
"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."
"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 product offers fast access to my database."
"Redis is a simple, powerful, and fast solution."
"The in-memory data makes it fast."
"The ability to fetch and save data quickly is valuable."
"While the solution scales well and easily, you need to understand your future needs and prep for the peaks."
"Data pulling and restart ability need improving."
"I would like to see monitoring service tools."
"Something that could be improved is having an interface to monitor the consuming rate."
"An area for improvement would be growth."
"The user interface is one weakness. Sometimes, our data isn't as accessible as we'd like. It takes a lot of work to retrieve the data and the index."
"I would like to see an improvement in authentication management."
"The interface has room for improvement, and there is a steep learning curve for Hadoop integration. It was a struggle learning to send from Hadoop to Kafka. In future releases, I'd like to see improvements in ETL functionality and Hadoop integration."
"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."
"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."
"If we use a lot of data, it will eventually cost us a lot."
"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."
"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."
"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."
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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