Case Study: Apervita achieves portable, scalable health analytics and a thriving marketplace with MongoDB

A MongoDB Case Study

Preview of the Apervita Case Study

MongoDB Powers Apervita’s Health Community and Marketplace

Apervita is a health analytics community and marketplace that helps health enterprises author, publish and apply thousands of computable analytics. It faced the challenge of applying predictive models to siloed, heterogeneous clinical, financial and operational data—an effort that was time-consuming, costly and required massive scale and high concurrency to run tens of thousands of analytics across terabytes of data.

Apervita built its platform on MongoDB, leveraging flexible storage for unstructured data, horizontal scaling and distributed architecture to represent large graphs and power a smart ontology engine. The result is a real-time big-data environment that simplifies connecting data to analytics, supports high concurrency and throughput, and enables enterprises to deploy portable, evidence-based analytics across their workflows.


Open case study document...

Apervita

Michael Oltman

Managing Director of Technology


MongoDB

165 Case Studies