TIBCO Software has announced the latest version of its data discovery and visualization platform Spotfire.
- Simplify IT With Cloud-Based Wireless Management
- Challenging Some of the Myths About Static Code Analysis
- Intrusion Prevention Systems: What to Look for in a Solution
- How to Protect Your Content and Improve Security with Cloud Client Computing and Thin/Zero Clients
Now at its version 5.5 release, this product is designed to work simultaneously with data that is in-memory as it also directly queries a variety of data systems and engines.
Specifically, over 30 data sources are open to this new hybrid approach including analytic data warehouses, databases, No-SQL sources, web services, and applications — all accessible through a "common layer".
Spotfire 5.5 also integrates with Teradata Aster, TIBCO's own DataSynapse GridServer and the firm's BusinessEvents product. The intention here is to create an environment that gives data analytics focused programmers the option to use predictive analytics and contextual insights for real-time events.
"Competition, productivity, and innovation all depend on how enterprises make important information immediately available to knowledge professionals, yet companies must simultaneously control access to sensitive data," said Lou Jordano, head of worldwide product marketing for TIBCO.
Spotfire 5.5 also offers a new set of visualization and analysis capabilities to manage the business by exception.
Ovum's Tony Baer wrote on this subject at this time last year, saying that application development and data management have traditionally been seen as yin and yang. "Developing applications helps enterprise operationalize their data," he said.
"SQL emerged as the core enterprise data platform once packaged applications and software development tools materialized to help enterprises not simply run transactions, but automate data-driven business processes. Not surprisingly, application development frameworks were core to Oracle's and Microsoft's database successes. Ovum expects history to repeat itself with big data. The next logical step beyond managing and integrating data will be developing analytic and operational applications that consume it," wrote Baer.