Oakland, CA, July 24, 2012 — Tom Sawyer Software, the premier provider of software for building high-performance data visualization and social network analysis applications, announces the release of Tom Sawyer Perspectives, Version 4.1. This release improves scalability in Big Data applications by doubling the speed of data-to-drawing delivery at ten thousand nodes and supporting the convergence of structured and unstructured information through new model search facilities.
With this release, Tom Sawyer Perspectives provides new search controls in the drawing view. As you tab through a drop-down menu of search results, the drawing focus instantly updates to pan and zoom in on each search result, while other graphical views maintain synchronization with the drawing view. These search capabilities enable more sophisticated usage models when used in conjunction with our existing filtering capabilities.
Tom Sawyer Perspectives, Version 4.1, also offers new multi-threaded view update to support efficient application partitioning across multiple processor cores and boost application scalability.
"We are committed to supporting the growing demand for Big Data visualization and analysis," said Brendan Madden, Chief Executive Officer. "As the variety and volume of Big Data continues to grow, we aim to anticipate and fulfill our customers' needs for enhanced scalability."
Tom Sawyer Perspectives is rules-based software for developing production data-oriented visual analysis applications. It is a complete Software Development Kit, purpose-built around a rule-based design methodology, allowing developers to focus on the business issues around visualization and analysis.
Tom Sawyer Software is the leading provider of software and services that enable organizations to build highly scalable and flexible graph and data visualization and analysis applications. These applications are used to discover hidden patterns, complex relationships, and key trends in large and diverse datasets. Tom Sawyer Software serves clients with needs in link analysis; network topology; architectures and models; schematics and maps; and dependencies, flows, and processes. We help clients federate and integrate their data from multiple sources and build the graph and data visualization applications that are critical to analyzing and gaining insight into their data.View All Press Releases