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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Kafka

    Score7.7 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
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    Apache Kafka
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    Apache Kafka
    Free Trial
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    Entry-level Setup FeeNo setup fee
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    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
    No answers on this topic
    Delivers good value for the price
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    Happy with the feature set
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    Lived up to sales and marketing promises
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    Implementation went as expected
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    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)