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."There are numerous possibilities that can be explored. While it may be challenging to fully comprehend the potential advantages, one key aspect is the ability to establish a proper sequence of events rather than simply dealing with a jumbled group of occurrences. These events possess their own timestamps, even if they were not initially provided with one, and are arranged in a chronological order that allows for a clear understanding of the progression of the events."
"The most valuable feature of Apache Kafka is the clustering which is very easy to scale and we have multiple servers all over our platforms. It has been useful for stability and performance."
"All the features of Apache Kafka are valuable, I cannot single out one feature."
"It's very easy to keep to install and it's pretty stable."
"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."
"Excellent speeds for publishing messages faster."
"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."
"A great streaming platform."
"The product offers fast access to my database."
"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."
"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 in-memory data makes it fast."
"The ability to fetch and save data quickly is valuable."
"I use Redis mostly to cache repeated data that is required."
"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."
"The product is good, but it needs implementation and on-going support. The whole cloud engagement model has made the adoption of Kafka better due to PaaS (Amazon Kinesis, a fully managed service by AWS)."
"The solution can improve by having automation for developers. We have done many manual calculations and it has been difficult but if it was automated it would be much better."
"The management tool could be improved."
"Maintaining and configuring Apache Kafka can be challenging, especially when you want to fine-tune its behavior."
"The ability to connect the producers and consumers must be improved."
"Apache Kafka can improve by adding a feature out of the box which allows it to deliver only one message."
"I would like to see monitoring service tools."
"More Windows support, I believe, is one area where it can improve."
"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."
"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."
"If we use a lot of data, it will eventually cost us a lot."
"There is a lack of documentation on the scalability of the solution."
"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."
"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 initial setup took some time as our technical team needed to familiarize themselves with Redis."
"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."
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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