Tom Sawyer Perspectives

Use features like advanced edge labeling, precise shape clipping, port and connectors controls, and incremental layout to see the super structure of your data and produce visually clear graphs that are understood by domain experts and stakeholders alike.

Skip the complicated and costly data modeling phase. Focus on filters, behaviors, and other customizations.

Design; Connect to your data. Then configure the algorithms, views, and behaviors that support your use case.

Build; Build your visualization application using the Perspectives point-and-click interface. Use Git™, Apache Maven™, Spring®, and Docker® for source control, build, and CI/CD integration.

Deploy; Deploy your application to end-users as a microservice, as a stand-alone application, or embedded into your software.

Use the point-and-click Designer interface to perfect your visualization and the Previewer interface to see your work in action.

Create knowledge graphs that best suit your use case by selecting from multiple presentation formats.

We've moved far beyond the competition. Where others support only simple, force-directed (spring embedder) techniques, we offer five interactive graph visualization layouts, which include:

• Bundle: Where possible, this layout intelligently combines (or bundles) related edges between nodes into one. So instead of seeing five edges leading from five nodes to a common destination, some of those edges bundle together, making the overall graph easier to read.
• Circular: Graphs often contain subgraphs of nodes that are more strongly related to each other. Circular layout finds these subgraphs, or clusters, and emphasizes them in the drawing while highlighting the superstructure and detail of the overall graph.
• Hierarchical: Hierarchical layout emphasizes dependency relationships and flows. Especially useful for graphs with directed edges, these drawings  show that some graph elements depend on others, while other elements do not.
• Orthogonal: Edges in Orthogonal layout style are routed with horizontal and vertical segments. This layout produces high-precision visualizations of complex graphs that have many edges, nested components, or specific connection points on nodes.
• Symmetric: Symmetric layout emphasizes connected nodes by placing them close to each other and drawing edges with straight lines. This layout is particularly useful for graphs that represent structures that happen in real life such as social or computer networks. 

Perspectives have very powerful features such as:

• Supports federated data access
• Load data from the following data sources:
  • Amazon Neptune 
  • Amazon Neptune RDF
  • Apache TinkerPop 
  • Cosmos DB
  • JanusGraph 
  • JSON 
  • Microsoft Excel
  • Neo4j 
  • OrientDB
  • RDF 
  • RDF data from Oracle Spatial and Graph
  • RESTful web services
  • SPARQL endpoints
  • Stardog 
  • SQL 
  • Text 
  • URLs
  • XML 
• Commit data to the following data sources:
  • Amazon Neptune
  • Apache TinkerPop
  • Cosmos DB
  • JanusGraph
  • Microsoft Excel 
  • Neo4j
  • OrientDB
  • SQL
  • Text
  • XML
• User-specified schema
• Extract schema from Amazon Neptune, Neo4j, JanusGraph, Cosmos DB, OrientDB, Apache TinkerPop, SQL, Text, and RDF data sources
• Expression-defined schema attributes
• Data-driven filter creation
• Multi-threaded data model
• Attribute values can be computed from expressions using functions or other attributes
• Attribute values can be synchronized with graphical element properties