With the JD Edwards database solution, organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single console. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage costs.

Application archiving allows companies to securely manage their archiving processes. There is no need for multiple installations of database tools or application metadata for each server environment. It helps organizations to Increase productivity among application and database users and reduce IT maintenance associated with large data sets.

Oracle archiving is the most widely deployed RDBMS system in the world supporting more than 300,000 installations. In addition to the growing number of implementations, current installed Oracle databases are experiencing incredible growth due to the amount of data enterprises are keeping online. Enterprise data management is a proven strategy to manage growth in custom and packaged applications running on Oracle databases by archiving data out of production infrastructure systems onto secondary, lower cost infrastructure while maintaining seamless data access through the native application or BI layer.

With health data management solutions organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single console. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs to maintain the production system and lower storage costs.

Enterprise class business applications require multiple copies be made to support test data management processes such as patch, test, QA, and training. Most companies make 6-8 full size clones for every production application, not only wasting storage and time in cloning but potentially exposing sensitive application data to the test environment. Data masking provides companies with a centralized solution to manage the test data management process for clone creation, productivity and data security.