Likelihood to Recommend 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.
Read full review WSO2 ESB is an awesome product for companies looking to venture into the world of SOA with an ESB. They have a lot of other products too that can work really well with their carbon infrastructure. The interface is simple for deploying and managing proxy services. You can also write custom modules within the ESB using Java with IDE like Eclipse
Read full review Pros 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). Read full review One of the basic requirement of an ESB product is that it should be able to support transformation. WSO2 ESB provides support of XSLT, so you can transform your request to whatever format. Moreover, transformations like converting your xml payload into JSON and JSON payload to XML are out of the box available. WSO2 ESB provides a scheduler feature, by which you can configure your own scheduler to call a proxy service at a particular time of day or or initiate sequence. WSO2 ESB provides excellent error handling techniques, WSO2 ESB provides detailed error handling scenarios to tackle all the situations. WSO2 ESB also provides custom error handling by which you can make your own custom error message before sending it back to client. Read full review Cons 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 Read full review While it's easy to configure for a quick start, it is not so easy to deploy by yourself in a complex production scenario. Not very stable for production usage, we encountered several trivial bugs that make us believe that this product is still not widely adopted. Lack of a built in mechanism for auto-restart in case of an application server crash. Read full review Likelihood to Renew Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet
Read full review Usability 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
Read full review Compared to competitors the overall experience has been fine
Read full review Reliability and Availability Lack of auto-restart built-in capabilities. In case of running out of memory there are no built-in methods to recover from a crash, just for example, Oracle WebLogic Node Manager.
Read full review Performance The product is performing well and consuming few resources
Read full review Support Rating 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.
Read full review Our experience with the WSO2 support has beent satisfactory
Read full review Alternatives Considered 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.
Read full review It's the only one truly open source and free.
Read full review Scalability Adding a server node is really straightforward, there are just few point in the configuration files.
Read full review Return on Investment 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. Read full review Very well documented tutorials and case studies makes it easy to learn. It has a really supportive community It is fast and it can easily handle 300 tps of average use on a VM with 4Gig RAM Read full review ScreenShots