Hello Benilton,
some years ago i came across pyTables ( http://www.pytables.org ). It's a wrapper for the HDF5-format. PyTables claims to handle high data-thruput very well. It supports Matrix/Array-formats as these are typically used in scientific-projects. PyTables does not provide any form of relational-model, but it sounds to me that this is probably not what you need in first place. Maybe u can boost the performance of u'r calculations as soon as u can load/store Arrays/Matrixes en piece. I used it for document-clustering and was very happy being able to store compressed-Arrays generated with Numeric/NumArray-packages. The performance on ~1000 documents inside the cluster was fine though not as critical as yours. I appreciated the ease of use and the chance to easily add metadata into the dataset. Yes and a Jva-Gui is also avail. I don't know if your data-sets/data-types fit into this scenario, but maybe you want to take a look into the FAQ [ http:// www.pytables.org/moin/FAQ#head- b32537aba805dac2a1bf9cd6606c4fddcd964f96 ].
good luck, andreas ----------------------------------------------------------------------------- To unsubscribe, send email to [EMAIL PROTECTED] -----------------------------------------------------------------------------
