Apache Kafka vs Aurea CX Messenger comparison

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15,120 views|11,556 comparisons
95% willing to recommend
Aurea Logo
426 views|121 comparisons
100% willing to recommend
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Executive Summary

We performed a comparison between Apache Kafka and Aurea CX Messenger based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, IBM, Amazon Web Services (AWS) and others in Message Queue (MQ) Software.
To learn more, read our detailed Message Queue (MQ) Software Report (Updated: April 2024).
768,578 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
"The most valuable feature of Apache Kafka is Kafka Connect.""We get amazing throughput. We don't get any delay.""Deployment is speedy.""Robust and delivers messages quickly.""The most valuable feature is that it can handle high volume.""Kafka, as compared with other messaging system options, is great for large scale message processing applications. It offers high throughput with built-in fault-tolerance and replication.""The most important feature for me is the guaranteed delivery of messages from producers to consumers.""All the features of Apache Kafka are valuable, I cannot single out one feature."

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"SDM: User-friendly tool which allows for a seamless approach to performing hotfixes, if required.""ESB: Provides all kind of possibilities to resolve business needs. A lot of ready to use services plus custom Java services. I used a lot of them all.""The Messenger Broker is a really good feature.""The solution offers excellent stability.""The features that I have found most valuable are that it is very easy to develop. Most of it is graphical, but we also have the option to add any custom call that you need.""The solution is highly scalable, this is very important for us. It can handle a lot of messages."

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Cons
"Kafka is a nightmare to administer.""Kafka's interface could also use some work. Some of our products are in C, and we don't have any libraries to use with C. From an interface perspective, we had a library from the readies. And we are streaming some of the products we built to readies. That is one of the requirements. It would be good to have those libraries available in a future release for our C++ clients or public libraries, so we can include them in our product and build on that.""We cannot apply all of our security requirements because it is hard to upload them.""More Windows support, I believe, is one area where it can improve.""Kafka 2.0 has been released for over a month, and I wanted to try out the new features. However, the configuration is a little bit complicated: Kafka Broker, Kafka Manager, ZooKeeper Servers, etc.""I would like to see an improvement in authentication management.""We struggled a bit with the built-in data transformations because it was a challenge to get them up and running the way we wanted.""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."

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"The solution needs to improve support for new, more recent protocols on the API.""I don't know if the last version has the cloud option, but maybe that could be good. That could be something that is included.""You should not hurry with upgrades without testing the whole product completely.""The improvement is that it should be on the cloud and use web services.""Aurea CX Messenger could improve by making better use of the new APIs""It should include/add more services with the product as per market demand. It should include custom Java services developed by any organization or provide a platform where users/developers can share ideas/custom services, etc."

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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."
  • More Apache Kafka Pricing and Cost Advice →

  • "Much better than Oracle SOA Suite."
  • "You pay nothing for licensing, because the commercial model is a subscription. Other environments, such as QA and Development, are included in the subscription"
  • "The pricing is not so high."
  • More Aurea CX Messenger 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:The Messenger Broker is a really good feature.
    Top Answer:The pricing is not so high. I will rate it a seven out of ten, where one is the lowest and ten is the highest. There are no additional fees to the standard license.
    Top Answer:The improvement is that it should be on the cloud and use web services because the earlier version is not using web service and cloud functionality. If Aurea could include these features in the future… more »
    Ranking
    Views
    15,120
    Comparisons
    11,556
    Reviews
    34
    Average Words per Review
    530
    Rating
    8.0
    Views
    426
    Comparisons
    121
    Reviews
    1
    Average Words per Review
    456
    Rating
    9.0
    Comparisons
    Also Known As
    CX Messenger Enterprise, Aurea Sonic ESB, Aurea Sonic, Aurea Sonic MQ
    Learn More
    Aurea
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    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

    CX Messenger lets your technology keep pace with your business. Aurea’s industry leading Enterprise Service Bus (ESB) lets you adapt and change your infrastructure with plug-and-play speed and ease.

    Sample Customers
    Uber, Netflix, Activision, Spotify, Slack, Pinterest
    Heathrow, HomeServe, Paypal, Freedom Mortgage
    Top Industries
    REVIEWERS
    Financial Services Firm26%
    Computer Software Company18%
    Retailer16%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company13%
    Manufacturing Company6%
    Retailer6%
    VISITORS READING REVIEWS
    Financial Services Firm17%
    Computer Software Company15%
    Insurance Company6%
    Government5%
    Company Size
    REVIEWERS
    Small Business35%
    Midsize Enterprise16%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise73%
    REVIEWERS
    Small Business14%
    Midsize Enterprise14%
    Large Enterprise71%
    VISITORS READING REVIEWS
    Small Business28%
    Midsize Enterprise11%
    Large Enterprise61%
    Buyer's Guide
    Message Queue (MQ) Software
    April 2024
    Find out what your peers are saying about Apache, IBM, Amazon Web Services (AWS) and others in Message Queue (MQ) Software. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    Apache Kafka is ranked 1st in Message Queue (MQ) Software with 76 reviews while Aurea CX Messenger is ranked 11th in Message Queue (MQ) Software with 7 reviews. Apache Kafka is rated 8.0, while Aurea CX Messenger is rated 9.0. 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 Aurea CX Messenger writes "Lightweight and efficient solution". Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, Anypoint MQ and PubSub+ Event Broker, whereas Aurea CX Messenger is most compared with Mule ESB, TIBCO Enterprise Message Service and WSO2 Enterprise Integrator.

    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.