On June 24, Siren announced its adoption of Graph Query Language (GQL), the world’s first ISO-standard query language for graphs, made public in 2024. With this move, Siren becomes the first investigative platform to offer seamless, standards-based graph querying integrated with deep search, a major leap forward for both product capability and user experience, according to the company.
GQL provides a powerful and precise way to query graph data, much like SQL does for relational data. Siren’s ISO adoption signals a historic industry consensus, bringing clarity and unification to the rapidly growing world of graph technology. For Siren, whose mission has always centered around connecting the dots across complex, disparate data, GQL is a natural fit.
“We’ve believed in the power of graph analytics since day one,” said John Randles, CEO of Siren. “Now, with GQL becoming the industry standard, we know we can exclusively give our users the best of both worlds, deep graph reasoning and seamless integration with relational search, on a foundation the entire industry can build on.”
“What we are doing is truly unique,” added Renaud Delbru, Ph.D., Siren founder and chief scientific officer. “GQL provided the foundation we needed to unify three critical paradigms, full-text search, relational queries, and graph traversals, all into a single interface. Where traditional methods require switching between different systems or query languages, investigators can now search text, join structured data, and traverse relationships within the same query.”
In relation to the Siren AI roadmap, Delbru said, “This unified approach is foundational to our vision, powering initiatives like K9 and future intelligent agents that need to reason across all types of data simultaneously.”
Source: Siren
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