Graphs provide a powerful abstraction to view and analyze relationships among different entities present in a dataset. However, much of the data of interest to analysts and data scientists resides in non-graph forms such as relational databases, JSON, XML, CSV and text.

Timbr’s Graph Data Explorer allows users to visualize the underlying data as a graph, to explore and discover relationships and dependencies in the data. The module enables traversing the entire organizational data so users can better understand the data, discover hidden value, visually find answers and expose the data without need of extracting tables or views before running a query.