Oakland, CA, April 21, 2006—Tom Sawyer® Software, a leading provider of high-performance graph visualization, layout, and analysis solutions, today released Tom Sawyer Analysis, Version 7.0, C++ Edition. The Tom Sawyer Analysis product line delivers sophisticated component technology that enables software developers to simplify and automate the analysis of complex systems found in applications ranging from life sciences and data management to networking and intelligence.
Tom Sawyer Analysis lets developers integrate algorithmic analysis within their applications and perform highly sophisticated analytic queries on relational information models. The software facilitates clustering, structured graph traversal, dependency analysis, network flow analysis, impact analysis, cycle detection, process analysis, and other complex queries on relational models.
Tom Sawyer Analysis, Version 7.0, C++ Edition, offers the following new features:
If you have a set of events that occur in a complex dependent network, with root cause analysis you can find all of the nodes that may have caused these events. Once you have uncovered potential sources of a problem, you can begin to take coordinated and effective action.
Sorted path analysis allows you to enumerate all of the paths between selected source and target nodes, from the shortest path to the longest path in order of path length.
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