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Research Article Open Access
Increased volume of users of the information has posed challenges in data retrieval as more the number of users, more is the volume of data and more concurrent need for data access. Hence, faster data retrieval is crucial for any application. Using traditional way for database connectivity is becoming a bottleneck. An efficient solution of DataBase Connection Pooling have been provided by various researchers and, hence, the database vendors. But all the solution till now have been provided for heavier applications where thousands of users need a database connection simultaneously. For such applications its perfectly feasible to use heavy packages and vendor specific drivers and APIs. But when we scale down the application to smaller organization like a college administration, a shop management application, a hospital management application that may have access to a few hundreds of users, but sufficient to chock the database server, these heavy package solution have some overhead. In this dissertation, we have tried to scale down this concept and trying to implement the same principal of connection pooling but without using vendor specific drivers or pooling specific packages.