InfoSphere Streams 3.1
InfoSphere Streams 3.1 includes a wide range of new features and functions designed to improve performance, enhance developer functionality, simplify large scale deployments and eliminate barriers to integration.
Why IBM for stream computing
Streaming data is all around us – from social media feeds to call data records – but can be difficult to leverage. Sometimes there is simply too much data to collect and store before analyzing it. Sometimes it’s an issue of timing – by the time they store data on disk, analyze it, and respond – it’s too late. Organizations need a way to harness the natural resource of streaming data and turn it into actionable insight. Enter stream computing.
Stream computing changes where, when and how much of your business data you can analyze. By extracting insight from data as it is streaming, you can react to events as they are happening to reshape business outcomes. Store less, analyze more, and make better decisions, faster. From increased customer retention to earlier fraud detection to more frequent cross-selling, the benefits of stream computing are many.
IBM InfoSphere Streams: Redefining Real Time AnalyticsGet the white paper
Deliver real-time analytic processing for information you can trust with IBM InfoSphere StreamsGet the data sheet
TEAM INSIGHT - IBM Pitches Financial Markets FrameworkGet the analyst report
Real-Time Analysis for Intensive CareGet the white paper