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Tom Sawyer Software Hosts Joint Meetup with Neo Technology

Join us for our Upcoming Meetup in Berkeley, California

Berkeley, CA, September 8, 2014—Join this Meetup to learn how you can use Tom Sawyer Perspectives and Neo4j to build applications with graph visualization capabilities to Neo4j databases through the Cypher query language.

Anyone interested in Neo4j and building graph visualization applications is encouraged to join. We will begin this Meetup with a brief introduction of Neo4j. Afterward, Joshua Feingold, Solutions Manager of Tom Sawyer Software, will use Neo4j data, including the well-known Cineasts movie data set, to demonstrate how you can add powerful graph visualization capabilities on top your Neo4j database.

Learn how you can use the Tom Sawyer Perspectives Designer to:

  • Bind to your Neo4j Database
  • Define Drawings and Trees
  • Detail Inspectors
  • Perform Search
  • Deploy to HTML5 and Image Map Web Applications
  • Deploy to Java and .NET Desktop Applications


  • 6:00-6:30: Food and Mingling
  • 6:30-6:45: Introduction to Neo4j
  • 6:45-7:30: Using Tom Sawyer Perspectives and Neo4j to Build Applications with Graph Visualization Capabilities

Food and drinks will be provided. Come make new friends, enjoy some good food, and learn something new.

For more details, and to attend this Meetup, click here.

About Tom Sawyer Software

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.

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