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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TIBCO® BPM Enterprise
Score 7.0 out of 10
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TIBCO ActiveMatrix BPM is a business process management platform with capabilities for process automation, process documentation, human capital management, process patterns, and predictive operations analytics.
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 …
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.
The scenario where TIBCO ActiveMatrix is well suited is in the scenario where there are more long-term business processes and in a complex corporate organization where there are many users with different privileges to perform actions on the same processes. It's less appropriate where there are no complex business process especially if the resubmit of the task in error is not required.
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).
TIBCO offers multiple ways to implement the sophisticated forms of event-driven BPM. It also balances the combination of business rules and AMX BPM for a different variety of IT Applications
It depends on the Enterprise service bus which is message oriented middleware
The integration of Spotfire with AMXBPM and BusinessEvents is a unique advantage
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
A little bit too conservative. Not really anything leading edge. [Tibco] has plenty of customers, and that means they will probably be around forever, but [product enhancements] seem to be more [abundant in competitor product offerings].
It would be great to have some pre-defined themes. Pie chart labels - it would be great to get more options for sizing and placement.
I find it hard to trust the online portal too much. I doubt the security that is offered by this software.
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
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.
For BPM we looked at some IBM products suites, BPM Online, Oracle products and Pega Systems. The decision to go with AMX BPM was based on the evaluation by the software architect team and the cost of acquiring the TIBCO suites.
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.