Security News > 2020 > March > Siren 10.4: Finding the shortest data paths across connected records inside Elasticsearch clusters

The latest version of Siren introduces a major breakthrough in big data graph analysis, the capability of finding the "Shortest" paths across connected records that are inside Elasticsearch clusters.

"Finding, the shortest and most significant data paths are absolutely critical in sectors such as intelligence, law enforcement, and financial fraud," said John Randles, CEO at Siren.

"Since version 10.3, Siren efficiently supported this operation for data stored in native graph databases. Now with version 10.4, we enable this for data being stored in Siren's Elasticsearch nodes and other systems. This opens up capabilities to a massive amount of data that can be used to solve very real-world problems."

"For our customers and the industry in general, this radically changes the norm, and greatly increases the value of data connected to the Siren platform."

When running on data residing inside Elasticsearch clusters, the algorithm leverages the distributed join capabilities of Siren's Federate plugin, while switching to using SQL statements when traversing data on remote JDBC DataSources.

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