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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Kafka

    Score8.9 out of 10
    N/AApache Kafka is an open-source stream processing platform developed by the Apache Software Foundation written in Scala and Java. The Kafka event streaming platform is used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.N/A
    Pricing
    Apache Kafka
    Editions & Modules
    No answers on this topic
    Offerings
    Pricing Offerings
    Apache Kafka
    Free Trial
    No
    Free/Freemium Version
    No
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional Details—
    More Pricing Information
    Community Pulse
    Apache Kafka
    Considered Both Products
    Apache
    Chose Apache Kafka
    It has very minimal overhead and doesn't have a steep learning curve.
    Incentivized
    Chose Apache Kafka
    Apache Kafka is built for scale. From high throughput and real-time data streaming, it has a strong advantage over RabbitMQ with its low latency. This put Apache Kafka at the forefront as the platform of choice for large datasets messaging and ensuring scalability when data …
    Incentivized
    Chose Apache Kafka
    It had the clustering functionality and gave tolerance against machine failure.
    Incentivized
    Chose Apache Kafka
    - The biggest advantage of using Apache Kafka is that it is cloud agnostic - It handles super high volume, is fault tolerance, high performance
    Incentivized
    Chose Apache Kafka
    Apache Kafka can work at a higher scale as compared to SQS. It can work with higher size per message and millions of messages per second. Moreover it can be scaled horizontally by adding more brokers to the cluster. SQS is good enough for simple use cases like making a task …
    Incentivized
    Chose Apache Kafka
    I used other messaging/queue solutions that are a lot more basic than Confluent Kafka, as well as another solution that is no longer in the market called Xively, which was bought and "buried" by Google. In comparison, these solutions offer way fewer functionalities and respond …
    Incentivized
    Chose Apache Kafka
    Apache Kafka is open-sourced, scales great has cloud agnostics and performs better than Amazon Kinesis [in my view]. Amazon Kinesis has some limitations and vendor lockin is not something I [like]. With Confluent operators you can easily install it on a kubernetes cluster.
    Incentivized
    Chose Apache Kafka
    We really needed to get away from using a SQL database to act as a queue for processing records, so a new solution was needed. Kafka is a leading software application initially designed for queuing messages which is essentially what we were looking for. It has a great user …
    Incentivized
    Chose Apache Kafka
    Kafka is simple and lower in price.
    Incentivized
    Chose Apache Kafka
    For us, Kafka really doesn't have a 1:1 alternative. We have used ActiveMQ extensively and we still use it as a lighter option for small messages. The situation is similar with Redis - although it could be used like a Kafka alternative, we do use it just as a per-component …
    Incentivized
    Chose Apache Kafka
    Apache Kafka is much more scalable and more reliable. Does not depend on memory, works well on rotational disks and that makes it a cheaper to use solution on low hardware requirements. Running multiple consumers on the same topic can also mean processing the same data again …
    Incentivized
    Chose Apache Kafka
    All stack tech helps our app and system. These technologies allow us to have the data available faster between different regions (due to our particular configuration) and thus the data and processing load of each system is lower. This allows the systems to be used more …
    Incentivized
    Chose Apache Kafka
    We had lots of problems with active mq. That is why we started using Apache Kafka.
    Incentivized
    Chose Apache Kafka
    Kafka is not a real messaging broker implementation as RabbitMQ or TIBCO EMS/JMS are. Although it can be used as messaging, we like the idea behind the Kafka (data isn't "passing by," instead it remains centra, so the client can revisit the data if necessary). This also …
    Incentivized
    Chose Apache Kafka
    Confluent Cloud is still based on Apache Kafka but it has a subscription fee so, from a long term perspective, it is wiser to deploy your own Kafka instance that spans public and private cloud. Amazon Kinesis, Google Cloud Pub/Sub do not do well for a very number of messages …
    Incentivized
    Chose Apache Kafka
    I would only use RabbitMQ over Kafka when you need to have delay queues or tons of small topics/queues around.
    I don't know too much about Pulsar - currently evaluating it - but it's supposed to have the same or better throughput while allowing for tons of queues. Stay tuned - I …
    Incentivized
    Chose Apache Kafka
    Kafka is faster and more scalable, also "free" as opensource (albeit we deploy using a commercial distribution). Infrastructure tends to be cheaper. On the other hand, projects must adapt to Kafka APIs that sometimes change and BAU increases until a major 1.x version comes out …
    Incentivized
    Key User Insights
    Would buy again
    94%
    Would buy again
    16 Answers
    Delivers good value for the price
    94%
    Delivers good value for the price
    16 Answers
    Happy with the feature set
    94%
    Happy with the feature set
    16 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    13 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    17 Answers
    Best Alternatives
    Apache Kafka
    Small Businesses
    No answers on this topic
    Medium-sized Companies
    IBM MQ
    Score9 out of 10
    Enterprises
    TIBCO Messaging
    Score7.7 out of 10
    All AlternativesView all alternatives
    User Ratings
    Apache Kafka
    Likelihood to Recommend
    8.0
    (19 ratings)
    Likelihood to Renew
    9.0
    (2 ratings)
    Usability
    8.0
    (2 ratings)
    Support Rating
    8.4
    (4 ratings)
    User Testimonials
    Apache Kafka
    Likelihood to Recommend
    Apache
    Apache Kafka is well-suited for most data-streaming use cases. Amazon Kinesis and Azure EventHubs, unless you have a specific use case where using those cloud PaAS for your data lakes, once set up well, Apache Kafka will take care of everything else in the background. Azure EventHubs, is good for cross-cloud use cases, and Amazon Kinesis - I have no real-world experience. But I believe it is the same.
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    Pros
    Apache
    • Really easy to configure. I've used other message brokers such as RabbitMQ and compared to them, Kafka's configurations are very easy to understand and tweak.
    • Very scalable: easily configured to run on multiple nodes allowing for ease of parallelism (assuming your queues/topics don't have to be consumed in the exact same order the messages were delivered)
    • Not exactly a feature, but I trust Kafka will be around for at least another decade because active development has continued to be strong and there's a lot of financial backing from Confluent and LinkedIn, and probably many other companies who are using it (which, anecdotally, is many).
    Incentivized
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    Cons
    Apache
    • Sometimes it becomes difficult to monitor our Kafka deployments. We've been able to overcome it largely using AWS MSK, a managed service for Apache Kafka, but a separate monitoring dashboard would have been great.
    • Simplify the process for local deployment of Kafka and provide a user interface to get visibility into the different topics and the messages being processed.
    • Learning curve around creation of broker and topics could be simplified
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    Likelihood to Renew
    Apache
    Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet
    Incentivized
    Read full review
    Usability
    Apache
    Apache Kafka is highly recommended to develop loosely coupled, real-time processing applications. Also, Apache Kafka provides property based configuration. Producer, Consumer and broker contain their own separate property file
    Incentivized
    Read full review
    Support Rating
    Apache
    Support for Apache Kafka (if willing to pay) is available from Confluent that includes the same time that created Kafka at Linkedin so they know this software in and out. Moreover, Apache Kafka is well known and best practices documents and deployment scenarios are easily available for download. For example, from eBay, Linkedin, Uber, and NYTimes.
    Incentivized
    Read full review
    Alternatives Considered
    Apache
    I used other messaging/queue solutions that are a lot more basic than Confluent Kafka, as well as another solution that is no longer in the market called Xively, which was bought and "buried" by Google. In comparison, these solutions offer way fewer functionalities and respond to other needs.
    Incentivized
    Read full review
    Return on Investment
    Apache
    • Positive: Get a quick and reliable pub/sub model implemented - data across components flows easily.
    • Positive: it's scalable so we can develop small and scale for real-world scenarios
    • Negative: it's easy to get into a confusing situation if you are not experienced yet or something strange has happened (rare, but it does). Troubleshooting such situations can take time and effort.
    Incentivized
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