U.S. Air Force Research Lab Creates MarkLogic-Based Data Platform to Make Safer and More Powerful Planes, Tools, and More



  • Data silos
  • Data integration
  • Inflexible and inaccessible software
  • Massive amounts of data (a simulation could produce an exabyte of data in one month)
  • Data governance


  • Operational Data Hub
  • Search
  • Semantics
  • API
  • Security


  • Realizing a performance increase of 100x
  • Securely discovering and sharing information
  • Reducing costs, development hours, and redundancies
  • Optimizing research resources

Full Story


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.

Matthew Jacobsen

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.


Flexibility, Agility, Scalability

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.

Learn more
about the products


Keep exploring
stories like this one

Read Next Story