This document discusses three approaches to integrating HDF5 data with databases: I) Using PyTables to treat HDF5 like a database, II) Using HDF5 and a relational database side-by-side, and III) Fully integrating HDF5 and a relational database where the HDF5 data model is exposed to SQL and other database technologies.

1. HDF5 and Databases
Three Approaches

2. I. HDF5 as DB – PyTables

3. II. HDF5 and RDBMS Side-by-Side
Engineering
Units DB and
HDF-5 File

4. III. HDF5 and RDBMS Integration
Visualization
Libraries
(MATLAB,…)
Web Services
(XML, REST, RSS)
OLAP and
Data Mining
Reporting
.NET Languages with Language Integrated Query
HDF5 EDM model
Entity Framework (EDM, eSQL, O-R mapping)
SQL Server
HDF5
Index
HDF5
type
HDF5
TVFs
HDF5 FS
blob
HDF5
files