Relational Database Change Management
- Quickly roll out and reconcile database changes
- Reveal, track, and report on database changes
- Comply with database audit and reporting requirements
- Protect data privacy within the database environment
- Track changes from multiple major database platforms
Manage Database Changes
Use a live-to-live database compare to obtain a list of changed objects, and generate an alter script to synchronize selected objects. Capture a snapshot of the target before applying changes, so that you can roll back a schema change if necessary. Automatically synchronize the target to match the source once there is a successful comparison.
Track Database Changes
Reveal and report on changes to packaged application databases resulting from vendor patches or customization. Uncover database abnormalities stemming from improper changes, which might impact production performance or functionality. Notify yourself or others when a particular portion of the database has changed.
Database Audit Compliance
Identify and report on changes to the database at or between points in time, or to particular sensitive objects, ad hoc or on a regular basis. Use custom or live configurations to create security and performance standards. Audit database configurations against established standards to minimize vulnerability.
Protect Sensitive Data
Ensure that pre-production databases are accurately tested while protecting sensitive information. Protect sensitive data in the production environment with data masking, and quickly migrate the masked, yet realistic and fully functional, data into Development, Test and QA environments.
Relational Database Management
DB Change Manager offers multi-database platform support for major DBMSs from a single interface. This capability expedites system access and translates DBA skills across platforms to reduce learning curves and errors. DB Change Manager includes support for all of the major relational database platforms (Microsoft SQL Server, Microsoft Azure SQL Database, Oracle Database, IBM Db2 LUW, SAP Sybase ASE, PostgreSQL, Pivotal Greenplum, and Amazon Redshift) from a single common graphical user interface.