Oakland, CA, December 16, 2010—Tom Sawyer Software, the leading provider of high-performance data visualization, layout, and analysis software, announces the release of Tom Sawyer Perspectives, Version 2.1. Tom Sawyer Perspectives is the industry's most sophisticated software platform for building and managing highly flexible and scalable visualization applications, regardless of whether they are deployed to the web or desktop. This release delivers significant performance, stability, and security improvements.
With Tom Sawyer Perspectives, Version 2.1, Tom Sawyer Analysis can now be integrated into Tom Sawyer Perspectives projects. Additionally, this release brings dramatic visualization and layout performance improvements, improved layout animation, enhanced rendering precision, and optimized drawing fitting. This release also strengthens product security by supporting SSL connections.
"The main goal of Tom Sawyer Perspectives, Version 2.1, is to continue our company's mission to deliver the highest quality software platform for building professional visualization applications," said Francois Bertault, Chief Technology Officer. "Through extensive profiling and testing, we have made significant improvements in this 2.1 version that offer a more compelling and productive experience."
Tom Sawyer Perspectives, Version 2.1, offers new and enhanced features:
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