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Il peut s'adapter à de nombreux types d'applications et de besoins, notement pour des applications géographiques avec des besoins plus complets. - De pars sa nature open source, il est compatible avec de nombreux langages de programmation, tels que Python, Java, C++, Ruby, PHP, etc. +Il est également important de noter que PostgreSQL tient sa popularité, au delà de ses performances et fonctionnalités déjà complètes, de par sa capacité à gérer des types de données bien plus complexes. PostgreSQL propose la gestion de modèles de données complexes tel que des données géographiques et des données attributaires, mais permet surtout de gérer les relations entre ces données. +Cette gestions de données complexe permet une ouverture sur d'autre système, notement QGIS, un système d'informations géographiques et ainsi d'étendre les fonctionnalités proposées par ce système. +En type de fichiers volumineux, on peut par exemple citer les fichiers MAJICS, RPG, référetiels vecteurs, ... + === Les inconvénients de PostgreSQL PostgreSQL présente également quelques inconvénients qu'il faut prendre en compte: diff --git a/main.pdf b/main.pdf index 133125e01f1f055679893fd5cc583227720964bf..1686610ac0af73b1a60446e93e913cf2f6627470 100644 GIT binary patch delta 38418 zcmZ6RRa9NUvaTVxySuwAoZt}L-Q6v?1(^_nJ1e*ccY?bHcemi~?sjwb+2`f4R6XXRXDjz@jKjY@$W94J#;{h8& zse)UfQ4>fJ!EikI|6LB=h3dxw{r@>Z>|l^E4iq~dXFe+Lr%#;RV03=6x?9+ANU)b6 zDi|zC1WtiZ279rgf`x_Qp!xZ@`N68;)WDg)kGKAO(qoGg_?CIKmPOyC{ZMvNkC>&A 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