Data storage is a non-trivial issue in the context of high performance and scientific computing. Several approaches are illustrated here.
Hdf5: data format that supports hierarchical and platform independent, storage and annotation.NetCDF: data format that supports hierarchical and platform independent, storage and annotation.Redis: high performance data structure server.Sql: some examples of interacting with and the design of relational databases for storing, e.g., research data.