Apache Kafka vs. Apache Pulsar vs. IBM WebSphere Hybrid Edition

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.

IBM WebSphere Hybrid edition is well-suited for the development and deployment of large enterprise-level applications such as Electronic Health Records that are used in our organization. IBM WebSphere is appropriate for organizations that require strong security and compliance as it provides a high level of security and compliance features. This works well with organizations that are subject to strict regulatory requirements, such as hospitals.

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• 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).

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• IBM WebSphere Hybrid Edition has done marvelous in building and deploying Java Enterprise applications.
• It also does well in automating deployment and scaling. This has made it easier for our organization to deploy updates to our applications.
• IBM WebSphere Hybrid Edition does well in security by providing features that protect enterprise applications.

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• 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

• Ease of use in terms of deployment, give simple interface to do simple stuff like Tomcat, JBoss or GlassFish.
• Takes long time to start the server.
• The Liferay wars need to be decorated and then deployed. Perhaps we could simplify that.
• Some of the concepts are good for complexity that WAS can handle but could be simplified and better documented, like concepts of well and profile, context, etc.
• A Liferay war file created using Liferay Developer studio runs fine in Tomcat, however that may not run in WAS 7.x because it needs to be decorated. I had one war for a Liferay portlet with a simple cron job, and had hard time running to WAS server. It was running on the latest free download done on my friends m/c. Other times I have seen that there are issues running a war file that runs on Tomcat but runs on WAS after lot of customization for WAS.
• The corporations like this however, the product may need better vibrant community of users where issues can be discussed.

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Kafka is quickly becoming core product of the organization, indeed it is replacing older messaging systems. No better alternatives found yet

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Mostly we will be renewing unless the strategic direction changes drastically or there are other complelling external circumstances. We've been on a multi year project to modernize our legacy applications and that effort will continue for the foreseeable future.

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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

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WebSphere Application Server is used across our organization. Most projects use this for Java products and applications. Being robust and scalable makes it even more usable. We love using WebSphere Application Server due to its configuration management ability made simple and vast across all java related parameters. It is dependent on the features and upgrades and IBM releases some great upgrades to WebSphere Application Server.

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Deploys fairly quick enough and like the roll-out update feature decreasing the downtime and also plays well with other integration tools as well.

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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.

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IBM was quick to respond when we had an issue with our specific infrastructure. We raised a PMR, which they picked up quickly and updated us about every step of the way. We had an appropriate fix for quite a business critical issue within a fortnight, which was impressive!

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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.

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Cleo Integration Clould has many bells and whistles; however, when we added more maps and trading partners, it really slowed down. We found that the Cleo support was very slow to respond and there was a language barrier. IBM Websphere had better customer support and its processing was much faster than Cleo Integration Cloud

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• 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.

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• Continuous uptime of the business applications we manage
• It's now much simpler for me to build and deploy cloud-native applications.
• Because it can offload for me management and maintenance of the application server to IBM I can focus on the development, deployment and testing of the applications which is more important

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