Spotfire Streaming

Formerly StreamBase / TIBCO Streaming

For real-time processing, it very well suited. It connects to many different data sources, and if there is a source that is not yet available, using their custom component one can build a connector/adapter easily. Their support is excellent and helps with any issues and questions in a very timely manner.

Suitable: 1) Stock Trading, 2) Gaming, 3) Reasoning Skills, 4) IoT Integrations, 5) RealTime monitoring, 6) Gambling, 7) Vehicle/Traffic Monitoring solutions can easily be built with Spotfire Streaming Less Appropriate: 1) Solutions which can't execute on lower footprint like Raspberry Pi 2) Dynamic Rules where business changes are on-demand or frequent. 3) Cost is a huge factor in decision 4) Process Monitoring solutions are less appropriate for Spotfire Streaming usage.

Spotfire Streaming is great at rapid prototyping. This can be a great tool for analysts without an in-depth programming background and allows them to quickly write efficient programs.

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.

It is well suited for back end data processing. It is less appropriate for any UI application.

Large amounts of business rules, data and high level of business rule complexity.

Suited very well for real-time processing. Problem is one needs to either write an adapter or pay for an adapter component to consume logs from some sources like Kafka. It doesn't come as part of the package unless you pay for it separately.

It is well suited for event processing that is not latency sensitive. Not as well suited for an application that requires fine-grained thread controls or low latency.

High volume, consistent data flow is perfectly suited for Spotfire Streaming. If you're looking for a larger, long-time trend visualization, you probably want to stick with vanilla Spotfire.

Spotfire Streaming is suitable for real-time high throughput data stream, although it allows the user to process large flat file data. However, it is not recommended due to I/O overhead to read the text file.

It is recommended when we got huge data generation which we want analyze. It is great addition to Hadoop flow which can catch most important data in near real time.

Spotfire Streaming is pretty well suited in applications dealing with thousands of messages per second and at the same time you can analyze and take any action in real-time. Analyzing and aggregating market data, executing orders in venues or exchanges based on rules, pricing financial instruments, basically anything that 'ticks' is a good use for Spotfire Streaming. Scenarios where real-time processing has a dependency on slow conventional technologies or architectures that take long to process and respond data are not a good fit.

Best suited for event correlation & processing, large volumes of events.

Real time, event driven system development.