Dear list,
I would like to know if hdf5 is suitable for real-time data logging or
not ?
More precisely: I work on a project in which we want to continuously
(sampling rate ranging form 30 to 400Hz) mix a fair amount of data
(several hours) of different natures (telemetry, signals, videos).
Data have to be written in real-time (or with a small delay) in order to
keep us from losing them on potential crash.
Our first prototype is based on sqlite3, however we feel that some
limitations could rise from a long run usage: speed, one database == one
file, and difficulties for accessing database from several threads (Lock
exception when reading and writing at the same time).
So, I am considering the possibility to use hdf5 as a back-end for data
storage on disk (and numpy/pytable for internal representation). Do you
think it is possible to update hdf5 file on at a regular interval from
such python binding ?
Thank you very much !
Cheer,
Nicolas
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