Datawatch Debuts Panopticon Streams Engine for Real-Time Performance Analytics
Officials say the Kafka-based stream processing engine reflects that more financial firms are replacing traditional data message busses with Kafka streaming environments.
![light-split-into-spectrum-by-prism light-split-into-spectrum-by-prism](/sites/default/files/styles/landscape_750_463/public/article_copied_files/light-split-into-spectrum-by-prism-580x358.jpg.webp?itok=gdFKSFi9)
Business intelligence and analytics provider Datawatch’s Panopticon data visualization business has released a stream processing engine that will allow financial firms to create real-time performance analytics based on streaming and historical time-series data, and to expand its reach into other industries and associated datasets.
“We’re trying to get people out of the T+1 mindset for analysis,” says Peter Simpson, VP of visualization strategy at Datawatch Panopticon. “If you have a ‘live’
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