HDF5 is the ideal library and format to manage the enormous amounts of data produced by very fast parallel i/o processes used to conduct simulations
When applications are particularly data and compute intensive, engineers and researchers often turn to HDF5 to manage their storage and I/O requirements, and at the same time have the data in a format that’s well understood by by important applications in the field, such as ANSYS and Matlab.
Semiconductor wafer testing uses probes to detect flaws in the fabrication process. Huge amounts of data can be generated in this process, resulting in tables that are far larger than typical RDBMS can handle efficiently so they turn to HDF5 because HDF5 can store objects of any size and because it has built-in structures to permit data compression without a significant penalty in accessing parts of a data set. Also, HDF5 can be used to build tables with 10,000 or more columns and still permit efficient partial access and querying.