Apache 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.
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Apache Tomcat
Score 8.2 out of 10
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Tomcat is an open-source web server supported by Apache.
Tomcat stacks up against the others very well due to its adoption in the open source community, low total cost of ownership, maintenance, and ease of deployment. It's much more lightweight than Websphere or Weblogic and provides most of the features most developers would need, …
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.
Excellent value for companies wishing to host Java applications in the cloud. Utilizing hosting tools such as load balancers and network and application firewalls, Tomcat can be part of a powerful system to host web applications to thousands of users. There has been consistency in the development and support of Tomcat since its initial release in the late '90s and the best commonalities have been carried forward. If you host Java web applications, Tomcat is as good as any for an application server.
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).
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
Using tomcat manager to troubleshoot is not very informative. Error messages are vague, you have to dig into log files for more information about the problems.
Is great for simple web applications, but may not work for heavy development which may require a full J2EE stack, might like JBoss better.
Security in tomcat is not straightforward, as I discovered that you have to understand how to set up realms in tomcat in order to hash passwords, which I was not overly familiar with, which is a big deal when setting up users in the tomcat-users.xml file.
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
Tomcat has a very rich API set which allows us to implement our automation script to trigger the deployment, configure, stop and start Tomcat from the command line. In our projects, we embedded Tomcat in our Eclipse in all of the developer's machines so they could quickly verify their code with little effort, Azure Webapp has strong support for Tomcat so we could move our application to Azure cloud very easy. One drawback is Tomcat UI quite poorly features but we almost do not use it.
Tomcat doesn't have a built-in watchdog that ensures restart upon failure, so you have to provide it externally. A very good solution is java service wrapper. The community edition is able to restart Tomcat upon out of memories exceptions.
Tomcat support to customize memory used and allow us to define the Connection pool and thread pool to increase system performance and availability, Tomcat server itself consume very little memory and almost no footprint. We use Tomcat in our production environment which has up to thousands of concurrent users and it is stable and provides a quick response.
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.
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.
Eclipse Jetty is the best alternative for Apache Tomcat because which is also an open-source and lightweight servlet container like Tomcat. A major advantage of this over Tomcat is that Jetty server can easily be embedded with the source code of web applications. Since it requires less memory to operate, you may realize that it is very efficient.
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.
Tomcat is cheap and very quick to deploy, so it has benefited much when situation needs applications to be deployed quickly without wasting time on licensing and installations.
Plenty of documentation available so no vendor training is required. Support contract is not needed as well.
