Spotfire Streaming Reviews & Insights

Spotfire Streaming is used in a variety of aspects of the business. It is used in front office trading, to middle office reporting, to back-office data processing and aggregation.

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.

Spotfire Streaming is being used by our foreign exchange department for data processing, real-time pricing, and risk management.

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

My company uses Spotfire Streaming on a few projects. We employee it mainly as a back-end development tool. The processes we set up with it perform data transformations and feed our analytics dashboards.

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.

Used by several teams across different departments. Unique use cases for each time. Mine is to process market data events.

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.

Spotfire Streaming has helped us understand the world and benefits of streaming data. It's difficult to comprehend just how you can use this kind of information until you have it at your fingertips.

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 being used by multiple departments in our company. We use it to cater our needs of processing large amounts of streamed events, which are generated by our business. It allows us to implements sophisticated logic to process an enormous amount of transaction data that is generated by multiple streams throughout the company. The graphical user interface to create the event flow is very easy to use with a minimal learning curve.

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.

Spotfire Streaming is our part of big data solution. It is part of complicated environment where we are analyzing a lot of data generated by our infrastructure and customers

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.

We focus on real-time fleet data/large volume of streaming data. We utilize Spotfire Streaming for pattern matching and duplicate detection /removals, provide adaptive/resilient solutions for both OEMs and internal initiatives. We required a high throughput and resilient CEP solution and Spotfire Streaming is a perfect fit to kick start highly critical initiatives.

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

Our primary focus is trading automation. We rely on Spotfire Streaming for rapid development of real time event driven systems, providing tailored solutions to internal and external clients.

Real time, event driven system development.