High Technology

Many organizations have tried alternative approaches to archiving, such as running batch reports during downtime, purchasing faster hardware or purging data by completely removing data from access. None of these strategies fully address the challenges of database growth and the need for long term data retention.

With the Data Archiving solution for Oracle, organizations can create and deploy effective and consistent policies for managing, securing and storing data from a single policy console. The result is improved application performance and availability through smaller production database sizes, shorter backup and recovery times, reduced labor costs associated with production and test system maintenance and lower storage and infrastructure requirements and costs.

Most experts conclude up to 80% of production data is no longer mission critical, using database archiving reduces overall storage costs while maintaining access through the native application. The result is a highly stable production environment and streamlined performance that leads to higher productivity and a positive impact to your organization's bottom line.

Application retirement is a viable strategy for eliminating redundant legacy applications, thereby improving operational efficiency and reducing costs. By reducing the number of applications within the IT infrastructure, DBAs can concentrate on maintaining critical business applications with the highest value to the organization instead of compiling data from disparate sources.


Application retirement helps organizations to reduce cost while maintaining access to the data either through the creation of a common data store or by migrating data into an existing enterprise application. By utilizing Application retirement organizations can improve operational efficiency, reduce costs and ensure that data retention requirements are met.

Application retirement reduces the number of applications within the IT infrastructure; DBAs can concentrate on maintaining critical business applications with the highest value to the organization instead of compiling data from disparate sources.

Relational databases handle mission-critical data in industries. These databases are known to grow at the rate of 125% annually. To overcome this challenge, data is alternatively stored in different data management systems. Response time for live transactions are the worst affected due to such high accumulation of data. Processing threads start overlapping when the user tries to refresh the screen constantly.

Database archiving is a proven strategy that will archive rarely used data and provide easy access to data on demand. Basically, data is most valuable when it is created. As data ages, its relative value comes down. Such data can be archived to improve real time transactions. Archived data, business context data and metadata are grouped into one archive file and stored on convenient and cost-effective storage mediums. Archived data can be easily accessed, researched and restored whenever needed.