With the number of data sources growing in most organizations, optimization of database connectivity becomes more critical. The resources used to save and retrieve data have a real dollar cost to the organization that is paid day in and day out.

By understanding the architecture of the database connectivity components used, one can better understand how to measure and predict their use of resources. By knowing which JVM and non- JVM components will load into memory, an organization can begin to see how overall resource utilization will be impacted.

By tuning components to make best use of the resources that they expend, an organization can get the best return on the computer resource expenditure. Basing this measurement on real-world workloads, one can get more from each server, each database connection, and each command.