Apache Flink is a framework and distributed processing engine for stateful computations over unbounded and bounded data streams. Flink has been designed to run in all common cluster environments, perform computations at in-memory speed and at any scale. And FlinkCEP is the Complex Event Processing (CEP) library implemented on top of Flink. Users can detect event patterns in streams of events.
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TIBCO BusinessEvents
Score 8.0 out of 10
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Enterprises are surrounded by hundreds of thousands of events that occur continuously. Hidden amongst them can be stalled business processes, opportunities for value creation, potential fraud, dissatisfied customers, failing equipment, and more. TIBCO BusinessEvents® proactively identifies these critical events, responds intelligently in real-time to navigate the fast-moving business environments and optimize outcomes. Decision-making in businesses requires a comprehensive…
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Pricing
Apache Flink
TIBCO BusinessEvents
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Apache Flink
TIBCO BusinessEvents
Free Trial
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Free/Freemium Version
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Community Pulse
Apache Flink
TIBCO BusinessEvents
Features
Apache Flink
TIBCO BusinessEvents
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
In well-suited scenarios, I would recommend using Apache Flink when you need to perform real-time analytics on streaming data, such as monitoring user activities, analyzing IoT device data, or processing financial transactions in real-time. It is also a good choice in scenarios where fault tolerance and consistency are crucial. I would not recommend it for simple batch processing pipelines or for teams that aren't experienced, as it might be overkill, and the steep learning curve may not justify the investment.
BusinessEvents is not very well suited for Cloud native solutions, but it is suitable for traditional enterprise self-maintained data center deployment. And it gives the business the power to define/modify/update the business rules, in a visualized way, instead of asking IT team to maintain them. Generally speaking it is a very comprehensive rule engine solution, but not suitable for "hook on" some other complex computation/data processing logic
Python/SQL API, since both are relatively new, still misses a few features in comparison with the Java/Scala option
Steep Learning Curve, it's documentation could be improved to something more user-friendly, and it could also discuss more theoretical concepts than just coding
We had to write our own business rules interface that matched how our previous systems operated. Web Studio has gone through some great changes but in that time we have made a decision to move to Kafka, Kinesis, and Spark for our events streaming solution in AWS.
We did not modify our business process flow to take advantage of BE. If you are not truly running an adaptive business process effort, then BE could be overkill.
Apache Spark is more user-friendly and features higher-level APIs. However, it was initially built for batch processing and only more recently gained streaming capabilities. In contrast, Apache Flink processes streaming data natively. Therefore, in terms of low latency and fault tolerance, Apache Flink takes the lead. However, Spark has a larger community and a decidedly lower learning curve.
Drools is an open source alternative for CEP solutions, that provides a business rules engine. Unfortunately it comes without support, while the TIBCO support for BusinessEvents is very efficient. Additionally, TIBCO BusinessEvents suite provides several additional components that could satisfy many requirements, and it can be integrated with existing TIBCO stack, giving great interoperability with other TIBCO products. As well as could be used in stand alone way.
Positive: dashboard is very informative and extremely powerful
Negative: we need to have more capability for data integration - OR for prototyping data integration and analytics, without resorting to something complex and big like StreamBase (which is truly amazing) but requires too much specific knowledge for industrial application. something easier to learn would be great. for example, I was able to learn KNIME and prototype a solution in a week. But StreamBase is too complex.
