Oakland, CA, December 15, 2008— Tom Sawyer Software, the leading provider of high-performance graph visualization, layout, and analysis solutions, today announced Tom Sawyer Analysis, Version 9.0, Java Edition Release.
Tom Sawyer Analysis, Java Edition, enables you to simplify and automate the analysis of complex systems found in applications that serve a variety of industries. It is composed of a versatile set of Java classes and APIs that lets you integrate algorithmic analysis within your applications and perform highly sophisticated analytic queries on graph models. The software facilitates structured graph traversal, clustering, dependency analysis, network flow analysis, impact analysis, root cause analysis, path analysis, cycle detection, process analysis, and other complex queries.
Tom Sawyer Analysis can be easily installed and configured for use in a web service, on a server, or in a client application to provide seamless integration with your preferred software architecture. Tom Sawyer Analysis can also be combined with Tom Sawyer Visualization to merge algorithmic and visual queries that enable a new class of applications that help you make decisions faster and more efficiently.
The new release of Tom Sawyer Analysis brings significant performance improvements to a number of analysis algorithms. Each algorithm in the suite executes up to twice as fast. Further, each of the path finding algorithms performs five to ten times faster.
Tom Sawyer Analysis, Version 9.0, Java Edition, 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