Amazon Managed Streaming for Apache Kafka (Amazon MSK) vs. WSO2 Enterprise Service Bus

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

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• 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.

• 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.

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Compared to competitors the overall experience has been fine

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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.

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The product is performing well and consuming few resources

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Our experience with the WSO2 support has beent satisfactory

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It's the only one truly open source and free.

Adding a server node is really straightforward, there are just few point in the configuration files.

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• 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