Data masking is consistently appreciated, especially for data privacy and protection in non-production environments. Users value its ability to mask sensitive information like national IDs and credit card numbers. Data archiving and data growth features help manage databases efficiently. The tool's flexibility and user-friendliness are noted, and it supports both legacy and non-legacy systems. It also allows for efficient test data environment setup, management, and generates useful metrics for data management.
- "Data archiving reduces application performance issues and storage."
- "IBM InfoSphere Optim Test Data Management can be found in the following platforms: Windows, Linux, *nix and z/OS; this presents a great opportunity to scale code and develop multiplatform libraries, updating the code once and deploying to all platforms."
- "Data archiving saved much storage and improved production performance."
IBM InfoSphere Optim Test Data Management (TDM) needs to improve data masking by integrating extraction, masking, and insertion into a streamlined process. It lacks synthetic data generation and data reservation features found in other tools such as CA TDM, making it hard to meet testing requirements. IBM prioritizes non-production environments lower, leading to delays in resolving issues. The interface could be more user-friendly, licensing less restrictive, and the installation process simpler and more secure. The test data generation and report efficiency also need enhancement.
- "Improvisation in the area of the self-service user interface for test data management is required to cater to test data needs."
- "Installation is too cumbersome."
- "I would like to be able to combine different masking functions on the same column map, making more complex masking without the need to write a Lua procedure."
