Data Archiving for Adabas
Downsize your database. Meet compliance needs with ease.
Capabilities
Data Archiving
Archive seldom-used & historical data
Data is growing at a phenomenal rate. Take control of it by using Data Archiving for Adabas, which acts as an extension of your Adabas service. You can archive data in stages and access data easily at any time.
Archiving data to an intermediate database
Send seldom-used data to an intermediate repository—another Adabas database. Your application can still access this data and your primary production database gets as small as possible to increase response time for users. You can save up to 30 percent on storage costs by archiving to lower-cost hardware.
Intuitive, easy-to-use browser-based interface
Manage archived data with ease. Little or no training is required to use Data Archiving for Adabas. You can do everything from one sophisticated interface:
- Establish your environment
- Define actions
- Run actions automatically
- Search and recall data
- Validate vault functions
You also can perform checks while defining archiving actions to minimize errors and conduct regular archiving automatically—once scheduled. No human interaction is required.
Automatic restart/recovery
Data Archiving for Adabas provides built-in restart and recovery in case an archiving action is interrupted—no extensive procedure required. Count on guaranteed data recovery.
Archiving to an offline vault
Comply with regulations for data retention by archiving historical data to a set of intelligently managed files on Linux/UNIX/Windows or mainframe platforms. Once data is moved safely to a permanent offline vault, it’s deleted from the source database.
Holistic archiving approach
No need to spend time keeping track of changes to the data structure. Data Archiving for Adabas takes metadata along with business data so it can automatically react to data structure changes over time—critical when metadata changes happen to the same set of business data.
Gain peace of mind with automatic versioning—the tool correctly recalls data at any point in time of the data lifecycle.
