Tom Sawyer Explorations 1.4 Delivers Faster and More Flexible Knowledge Graph Visualization

BERKELEY, CALIFORNIA, USA, May 13, 2026—Tom Sawyer Software, the leader in graph and data visualization technology, today announced the release of Tom Sawyer Explorations 1.4, the latest version of its no-code graph intelligence application.

Tom Sawyer Explorations is designed for data professionals of all levels to easily connect to a graph database and construct a database query without needing advanced coding skills or knowledge of the Gremlin or Cypher query languages. Tom Sawyer Explorations automatically returns the query results in an interactive visualization of the relationships between elements meeting the search criteria and provides built-in graph analysis algorithms enabling a deeper understanding of the complex relationships within the data.

Tom Sawyer Explorations 1.4 now includes a new Amazon Neptune Analytics data integrator, streamlining access to cloud-based graph data. The release also includes a number of precision graph layout improvements and preservation of orthogonal edge routing after moving nodes. These refinements result in cleaner visuals and more stable interactions, making it easier for analysts to maintain context as graphs expand and evolve.

Additionally, Tom Sawyer Explorations 1.4 adds support for Perplexity Comet browser and provides a next-generation UI built on React 19 and Material UI, delivering significant performance gains to improve speed, responsiveness, and overall usability.

“Organizations are working with increasingly large and dynamic connected datasets, and users expect graph visualization tools to be both powerful and intuitive,” said Janet M. Six, Senior Product Manager at Tom Sawyer Software. “Explorations 1.4 represents a significant step forward in graph visualization performance and usability, enabling users to analyze connected data with greater speed, flexibility, and confidence.”

New in this release:

• New Amazon Neptune Analytics Integrator: Tom Sawyer Explorations now supports Amazon Neptune Analytics, a managed in-memory graph analytics service from AWS. With the new integration, users can ingest data from Neptune Analytics directly into Tom Sawyer Explorations for visualization and analysis. This addition expands the range of supported data sources and simplifies access to graph data in AWS environments.
  
  
• Orthogonal Edge Routing Preserved: When users move and drop selected nodes, Tom Sawyer Explorations automatically preserves orthogonal edge routing, resulting in cleaner interactions and more stable, visually consistent diagrams.
  
  
• Precision Graph Layout Improvements: Multiple refinements to edge routing, node placement, and label positioning enhance layout clarity and visual stability across multiple layout styles. Together, these updates result in cleaner, more polished graph visualizations.
  
  
• Next-Gen, High-Performance UI: Platform upgrades to React 19, MUI 7.3.7, and MUI X 8.26.0 deliver significant performance gains in speed and responsiveness, including up to 20–25% improvement in React rendering performance. The result is faster load times, cleaner visuals, and a more responsive user experience.
  
  
• Support for Perplexity Comet: Tom Sawyer Explorations is now compatible with Perplexity Comet, enabling seamless access in a modern AI-powered browser without additional configuration.

Tom Sawyer Explorations 1.4 is available now. To learn more about Explorations and its capabilities visit the product web page or request a live demo or free trial today.

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.