Case Study: Parabole achieves scalable ESG analytics insights with Cambridge Semantics AnzoGraph DB

A Cambridge Semantics Case Study

Preview of the Parabole Case Study

Why Parabole chose AnzoGraph® DB to power its cognitive analytics platform for financial services investments insights

Parabole, a cognitive analytics software company for the financial services industry, needed a way to unify and analyze large volumes of unstructured and structured ESG data from news, corporate filings, reports, PDFs, spreadsheets, and third-party sources. To power its alphaESG investment insights platform, Parabole turned to Cambridge Semantics and its AnzoGraph DB graph database to support data harmonization, analytics, scalability, and standards-based RDF/SPARQL handling.

Using Cambridge Semantics’ AnzoGraph DB, Parabole integrated a fast, scalable analytical engine into alphaESG in just 10 weeks. The solution now loads data faster, supports inferencing and advanced analytics, and has been shown to load over 300 triples per second, with a path to scale from tens of millions to billions or even trillions of triples as customer needs grow.


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Parabole

Rajib Saha

Chief Executive Officer


Cambridge Semantics

11 Case Studies