The U.S. Air Force Research Lab (AFRL) has created the HyperThought™ data management platform — a scalable, agile, and flexible way to make exabytes of data discoverable and securely shareable for 700 scientists and engineers, with thousands more external collaborators. By creating its data platform on MarkLogic, AFRL increased its performance a hundredfold, saving tens of thousands of hours in development.
We used MongoDB early on, but we realized there are so many things that you can’t do with it, like built-in search, Semantics, and true RDF expression of our data models.
Systems Analyst & Developer, US Air Force Research Lab
Early efforts with MongoDB showed that HyperThought held promise, but it required major effort to tether together critical missing pieces and derive benefit from the data. AFRL needed to add search, security, semantics, and performance at scale with a multi-model format; for these reasons, it selected MarkLogic to serve as the foundation for HyperThought.
Adding new data sources, changing data models, and increasing data volumes are surmountable challenges with HyperThought.
Historical tests and results are now discoverable and usable, improving efficiency across development and research.
Scientists can now securely share data, which fosters collaboration with other researchers like Lawrence Livermore National Labs.