There is a growing interest in finding ways to integrate HDF5 with traditional database applications. Some applications have used HDF5 for storing data and metadata associated with a given test, experiment, or simulation, then used a traditional relational database management system for querying about that data. Others use HDF5 itself like a database by storing indexes in HDF5 files along with the data, then implementing a query API to query the data. In this talk, we will present some of the ways that HDF5 has been used in support of database-like operations, and discuss possible future directions for this kind of usage for HDF5.
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