‘Time Machine’ Visualizes Evolving Data

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The ability to build queries using visualization tools and explore connections within data as they develop over time is among the features folded into the latest version of graph visualization software from graph database technology vendor Franz Inc.

The “time slider” feature incorporated into version 7.0 of the company’s Gruff software serves as a kind of time machine for temporal graph analytics, the company said this week. The new feature is intended to allow graph experts as well as data novices to visualize the “shape and density of graph data evolv[ing] over time,” Franz noted in a statement.

The goal is to uncover insights within time sensitive data meaning “users can see how relationships are created over time and are able to replay the evolving graph for new temporal based insights,” noted Jans Aasman, CEO of Franz, based in Oakland, Calif.

The company stresses its latest Gruff platform generates dynamic data visualizations that compile and organize connections within data. The “time machine” feature provides a graphical view designed to allow users to see the shape and density of graph data evolving over time. Several different views of large data sets provide query and graphical query visualizations.

“Making sense out of big data is a challenge, particularly in the healthcare industry where information comes from a variety of sources and in different forms including structured, unstructured, images, temporal, geo-location and signal data,” Aasman noted in a statement.

Franz said Gruff is available as a free download from the AllegroGraph persistent database web site. AllegroGraph database technology is designed to allow users to extract predictive analytics from complex, distributed data. Unlike traditional NoSQL databases, Franz asserts its platform employs semantic graph technologies that process data with contextual and conceptual intelligence.

Last year, Cloudera and Franz announced that AllegroGraph has been certified to run atop Cloudera’s Distribution of Hadoop. The partners are promoting the software as a reference architecture for creating semantic data lakes from big connected data.

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