Spotfire Streaming Reviews & Insights

It is used for real-time processing and monitoring of operational data used by different users/departments.

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.

I'm building a stock trading/securities trading solution using Spotfire Streaming for one of our local customers. We have also built a solution around a stock trading platform which can be readily used by any Indian Stock Broking firm(s). The solution along with other Spotfire and non-Spotfire technologies thrives to achieve millisecond-level latency to beat the industry stalwarts.

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 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.

Our organisation uses Spotfire Streaming as an offering to clients who require it in their solution. The business problems we use Spotfire Streaming to address would be to process complex and large sets of business rules.

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

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.

We use it for real-time processing of logs and sudo-logs (records created in a database table are fed in real-time to a Spotfire Streaming app). We have apps to monitor the performance of our infrastructure, our processes, and catching fraudulent activity.

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.

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.