Apache Kafka vs Redis comparison

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Apache Logo
15,120 views|11,556 comparisons
95% willing to recommend
RedisLabs Logo
228 views|209 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Apache Kafka vs. Redis Report (Updated: March 2024).
768,857 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"One of the most valuable features I have found is Kafka Connect.""The most valuable feature of Apache Kafka is Kafka Connect.""The stability is very nice. We currently manage 50 million events daily.""Excellent speeds for publishing messages faster.""Kafka is an open-source tool that's easy to use in our country, and the command line interface is powerful.""Apache Kafka's most valuable features include clustering and sharding...It is a pretty stable solution.""It seemed pretty stable and didn't have any issues at all.""The most valuable feature is the documentation, which is good and clear."

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"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 online interface is very fast and easy to use.""The in-memory data makes it fast.""It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology.""The solution's technical support team is good...The solution's initial setup process was straightforward.""The product offers fast access to my database.""Redis is a simple, powerful, and fast solution."

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Cons
"The model where you create the integration or the integration scenario needs improvement.""The management tool could be improved.""The UI is based on command line. It would be helpful if they could come up with a simpler user interface.""Lacks elasticity and the ability to scale down.""Prioritization of messages in Apache Kafka could improve.""Data pulling and restart ability need improving.""Kafka has a lot of monitors, but sometimes it's most important to just have a simple monitor.""Kafka is a nightmare to administer."

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"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.""Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application.""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.""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 development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."

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Pricing and Cost Advice
  • "I would not subscribe to the Confluent platform, but rather stay on the free open source version. The extra cost wasn't justified."
  • "When starting to look at a distributed message system, look for a cloud solution first. It is an easier entry point than an on-premises hardware solution."
  • "It is open source software."
  • "Licensing issues are not applicable. Apache licensing makes it simple with almost zero cost for the software itself."
  • "Apache Kafka is open-source and can be used free of charge."
  • "Kafka is open-source and it is cheaper than any other product."
  • "Kafka is more reasonably priced than IBM MQ."
  • "The solution is open source; it's free to use."
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  • "Redis is an open-source solution. There are not any hidden fees."
  • "Redis is not an overpriced solution."
  • "Redis is an open-source product."
  • "We saw an ROI. It made the processing of our transactions faster."
  • More Redis Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:Apache Kafka is open source and can be used for free. It has very good log management and has a way to store the data used for analytics. Apache Kafka is very good if you have a high number of users… more »
    Top Answer:Apache Kafka is an open-source solution that can be used for messaging or event processing.
    Top Answer:Redis is a simple, powerful, and fast solution.
    Top Answer:Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application.
    Top Answer:Sometimes, Redis is used as a cache and sometimes as the main database.
    Ranking
    Views
    15,120
    Comparisons
    11,556
    Reviews
    34
    Average Words per Review
    530
    Rating
    8.0
    7th
    Views
    228
    Comparisons
    209
    Reviews
    7
    Average Words per Review
    282
    Rating
    8.7
    Comparisons
    IBM MQ logo
    Compared 25% of the time.
    Amazon SQS logo
    Compared 14% of the time.
    Red Hat AMQ logo
    Compared 13% of the time.
    Anypoint MQ logo
    Compared 11% of the time.
    Google Cloud Memorystore logo
    Compared 25% of the time.
    Amazon SQS logo
    Compared 23% of the time.
    ActiveMQ logo
    Compared 6% of the time.
    Chroma logo
    Compared 6% of the time.
    Amazon ElastiCache logo
    Compared 3% of the time.
    Also Known As
    Redis Enterprise
    Learn More
    Overview

    Apache Kafka is a highly regarded open-source, distributed event streaming platform and Message Queue (MQ) software solution that is valued and trusted worldwide by many of the top fortune 100 companies. It is considered one of the most reliable Message Queue (MQ) software solutions available in the marketplace today.

    Enterprise organizations rely on streaming platforms and MQ software solutions to process the continuous flow of high-performance data pipelines, mission-critical applications, and data integration. Apache Kafka makes it easy to process and distribute messages from one application to another from multiple environments with super-fast speeds and very high reliability.

    Additionally, in place of the usual command line processes regarding administration and management tasks, Apache Kafka supplies five exemplary core APIs for both Scala and Java:

    • Kafka Streams API can be used to facilitate stream processing applications and microservices. Input is seamlessly read from one or more topics and will initiate output to one or more topics, easily converting the input streams to output streams.
    • Kafka Connect API enables users to develop and run reusable data import/export connectors that are able to read and write streams of events from external operating systems and applications, making integration with Apache Kafka simple and streamlined.
    • Consumer API allows users to subscribe and read one or more topics and to process the stream of events produced to them.
    • Admin API gives users the ability to examine and manage brokers, topics, and various other Kafka topics.
    • Producer API using this core element, users are able to write and publish a stream of events to one or more Kafka topics.

    Apache Kafka Benefits

    Apache Kafka has many valuable benefits. Some of its most valuable benefits include:

    • Load Shifting
    • Scalability
    • Decoupling
    • High Throughput
    • High Availability
    • Safe Permanent Storage
    • Excellent Integration Capabilities
    • Large, Reliable, Open-Source Community
    • Mission Critical
    • Wide Array of Available Learning Opportunities

    Not only is Apache Kafka a robust messaging queue it is also a tremendously durable and reliable streaming platform that is fully capable of securely delivering more than one million messages per second, which amounts to trillions of success delivered messages in one day.

    Reviews from Real Users

    “From my experience with Apache Kafka, one of the most notable advantages is its ability to maintain a comprehensive record of historical data that includes every update, alteration, and version of information, unlike a conventional relational database. This feature allows for seamless tracking and analysis of the progression and transformation of the data over time, enabling users to easily review and analyze the history of the information.” Dimitrios Z., Enterprise Architect at Smals vzw

    “We are currently on a legacy version and have found that the latest version of Kafka has solved many of the issues we were facing, such as sequencing, memory management, and more. Additionally, the fact that it is open source is a major benefit.” Pratul S. Software Engineer at a financial services firm

    “The solution has improved our functionality; it's one of the best streaming platforms I've used.” Sreekar N., Co-Founder at Attaika

    Redis is a high-performance, scalable, and easy-to-use caching solution that improves application performance. It is also used for session management, real-time analytics, and as a message broker. 

    Redis's valuable features include its ability to handle large amounts of data quickly, its simplicity and straightforward setup process, and its support for various data structures, providing flexibility for different use cases.

    Sample Customers
    Uber, Netflix, Activision, Spotify, Slack, Pinterest
    1. Twitter 2. GitHub 3. StackOverflow 4. Pinterest 5. Snapchat 6. Craigslist 7. Digg 8. Weibo 9. Airbnb 10. Uber 11. Slack 12. Trello 13. Shopify 14. Coursera 15. Medium 16. Twitch 17. Foursquare 18. Meetup 19. Kickstarter 20. Docker 21. Heroku 22. Bitbucket 23. Groupon 24. Flipboard 25. SoundCloud 26. BuzzFeed 27. Disqus 28. The New York Times 29. Walmart 30. Nike 31. Sony 32. Philips
    Top Industries
    REVIEWERS
    Financial Services Firm26%
    Computer Software Company18%
    Retailer16%
    Media Company8%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company13%
    Manufacturing Company6%
    Retailer6%
    VISITORS READING REVIEWS
    Financial Services Firm18%
    Computer Software Company15%
    Manufacturing Company9%
    Educational Organization8%
    Company Size
    REVIEWERS
    Small Business35%
    Midsize Enterprise16%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise73%
    REVIEWERS
    Small Business71%
    Large Enterprise29%
    VISITORS READING REVIEWS
    Small Business21%
    Midsize Enterprise12%
    Large Enterprise68%
    Buyer's Guide
    Apache Kafka vs. Redis
    March 2024
    Find out what your peers are saying about Apache Kafka vs. Redis and other solutions. Updated: March 2024.
    768,857 professionals have used our research since 2012.

    Apache Kafka is ranked 1st in Message Queue (MQ) Software with 76 reviews while Redis is ranked 7th in Database as a Service with 7 reviews. Apache Kafka is rated 8.0, while Redis is rated 8.8. The top reviewer of Apache Kafka writes "Great access to multiple devices, with stability, at an affordable price". On the other hand, the top reviewer of Redis writes "A solution that can benefit both user and customer-facing applications while effectively preventing potential lag in the user-facing application". Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, Anypoint MQ and PubSub+ Event Portal, whereas Redis is most compared with Google Cloud Memorystore, Amazon SQS, ActiveMQ, Chroma and Amazon ElastiCache. See our Apache Kafka vs. Redis report.

    See our list of best Message Queue (MQ) Software vendors.

    We monitor all Message Queue (MQ) Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.