Siren 10.4 enables improved search across records
Siren, an Elasticsearch-based investigative intelligence platform, is releasing Siren 10.4, introducing a breakthrough in big data graph analysis
“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.”
Siren currently has three pending patents covering aspects of this implementation. The search can operate on complete or filtered data subgraphs.
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.
Siren 10.4 also includes a host of new features including support for internationalized UI, improved support for white-labelling, and OpenID support.
For intelligence and law enforcement customers, 10.4 also adds support for secure cloud environments and the ability to open Siren generated graphs directly in the widely adopted IBM i2 Analyst Notebook.
For more information about this news, visit https://siren.io/.