The Spotfire Streaming (formerly TIBCO Streaming or StreamBase) platform is a high-performance system for rapidly building applications that analyze and act on real-time streaming data. Using Spotfire Streaming, users can rapidly build real-time systems and deploy them at a fraction of the cost and risk of other alternatives.
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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
Spotfire Streaming
TIBCO BusinessEvents
Editions & Modules
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Offerings
Pricing Offerings
Spotfire Streaming
TIBCO BusinessEvents
Free Trial
Yes
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
Optional
Optional
Additional Details
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More Pricing Information
Community Pulse
Spotfire Streaming
TIBCO BusinessEvents
Features
Spotfire Streaming
TIBCO BusinessEvents
Streaming Analytics
Comparison of Streaming Analytics features of Product A and Product B
Taking data from various sources including files, databases, web services, applying some complex rules, transforming, aggregating and producing a result. This is what Spotfire Streaming does best. - If one needs connectivity to special services as secured databases or web services, building interactive web apps, those are probably tasks that shall be addressed with different tools.
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
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.
We are using Dataflow (by Google).The development time in Spotfire Streaming is definitely shorter because its GUI based. Dataflow handles late arrivals after the window closes, not sure Spotfire Streaming can do that. Dataflow can run GCP as a managed service which is why we chose that tool for our new product.
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.
While we haven't specifically integrated Spotfire Streaming into our product development, it has allowed us to see the benefits of real-time streaming data.
We have much more visibility into how our longer term roadmap will look and what we should focus on.
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.