Tom Sawyer Explorations

Tom Sawyer Explorations is a no-code graph intelligence application that empowers analysts to rapidly uncover insights through data integration, graph pattern matching, and advanced graph visualization and analysis. This user-friendly product integrates with popular graph databases and enables analysts and data scientists to build graph pattern matching queries - all without any coding and without having to know database query languages. Explorations generates an interactive and customizable graph visualization of query results and includes graph analysis algorithms, enabling data professionals to seamlessly analyze data, navigate complex relationships, and generate actionable insights.

Explorations supports Amazon Neptune Gremlin, Amazon Neptune openCypher, Neo4j, JanusGraph, and OrientDB with automatic schema extraction and visualization. Interactively select elements within the schema visualization or through advanced visual graph pattern matching and Explorations automatically generates the database query and loads the resulting data into a graph drawing view. The interactive drawing view provides powerful features for exploring data and letting the investigation lead the way. Use the advanced, no-code visual query builder to construct a database search with or without conditions to quickly find graph patterns, load neighbors with or without constraints, and clean up the resulting drawing using advanced layout styles including Bundle, Circular, Hierarchical, Orthogonal, and Symmetric. Augment the graph drawing with customizable text and color styling of nodes based on element types or attributes, and interactively search to find and zoom into specific elements quickly. Apply powerful analytics including clustering analysis to identify data-driven groupings within the graph, and choose from several centrality analyses - Betweenness, Closeness, Degree, Eigenvector, and PageRank - to determine key nodes. Dynamically explore the results of Analysis and see details of selected elements with integrated views that highlight and focus on the corresponding elements in the drawing view.

Explorations addresses critical data navigation and investigation needs across various use cases including financial fraud detection, patient data analysis in healthcare, network security threat identification, social network analysis, and supply chain management. Explorations transforms how data is analyzed and utilized by enhancing data visualization and analysis capabilities, bringing significant benefits to a broad range of industries including finance, healthcare, cybersecurity, telecommunications, and logistics.