Easily connect to and blend data from files, relational and NoSQL databases, OLAP, Hadoop, and web services—and also to cloud applications like Google Analytics and Salesforce.com. Streaming data sources like IoT (MQTT, OSI PI), social (Twitter, IFTTT), and messaging (EMS, JMS, Kafka) can be readily integrated with at-rest data for real-time contextual analysis.
Use threaded discussions and filtered analytics views to show context. Clearly highlight data points for clearer storytelling by attaching annotations to markings as your audience navigates through analyses.
Freely distributed accelerators include product templates and example solutions to help you get to production quickly. The TIBCO Community exchange also covers product tips and tricks, videos, wiki articles, and access to professionals deploying these solutions in production environments.
TIBCO’s Insight Platform combines live streaming data with queries on large at-rest volumes. Historical patterns are interactively identified with Spotfire, TERR/R, H2O, or ML/MLlib running directly against Hadoop and Spark. These patterns can then be applied to streaming data for predictive and operational insights. StreamBase and BusinessEvents support many approaches to insight execution including R code running in TERR, PMML from many modeling environments, and Java objects (POJO) from systems like H2O.
Communicate findings and concepts through intuitive visualizations.
Improve and prepare data as you work on it.
Anticipate what's next.
Turbo-charge your analytics and your business.
Associate data with location for immediate understanding.
Rely on unparalleled performance, governance, flexibility.
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