Oakland, CA, May 22, 2008—Tom Sawyer Software, a leading provider of high-performance graph visualization, layout, and analysis solutions, today released Tom Sawyer Perspectives, Version 1.0, Java Edition, a next generation product that enables you to develop strategic corporate applications that reveal patterns, relationships, and dependencies in your data in an unprecedented way. Built on top of Tom Sawyer's reliable visualization and layout component products, Tom Sawyer Perspectives utilizes graphical application design methods to help you construct applications in a fraction of the time usually required.
Tom Sawyer Perspectives provides an intuitive yet powerful graphical environment to configure round-trip data integration and create simultaneous and synchronized, rule-driven views of data. The Tom Sawyer Perspectives Project Designer is used to configure applications to automatically connect to data sources including databases, Microsoft Excel spreadsheets, plain text files, and XML files. The Project Designer also displays numerous simultaneous views of data from different perspectives including drawings, inspectors, trees, and tables. Users may also commit edits back to the data source through the different views. As a result, time-consuming, manual programming efforts are drastically minimized.
Tom Sawyer Perspectives is designed for data analysts, architecture teams, and IT and IS organizations.
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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