IBM InfoSphere Optim vs. Informatica Data Privacy

Optim is especially recommended for those companies that have their own or third-party development teams that must be provided with a complete data environment to test the applications. Optim is not recommended for use as an ETL or Data Integration tool.

Incentivized

In most circumstances, production data is necessary in staged environments in order to test and validate various test cases and scenarios. Real-time data, on the other hand, comprises sensitive information such as credit/debit card numbers, user names and passwords, and any other personal details that cannot be disclosed. As a result, this tool may be used to mask vital data with fake but realistic data in order to execute a variety of actions in the development and quality assurance environments. In order to protect the privacy and security of users' data, as well as to prevent future risk.

Incentivized

• Easily extract data from production environments with no-coding
• Intelligent filtering capabilities using physical or logical relationships.
• Advanced data masking funtions

Incentivized

• automated sensitive field detection
• replace critical data with dummy but real-looking data
• threat detection
• role based access

Incentivized

• Poor UI
• Complex architecture

Incentivized

• documentation not available
• technical knowledge required

Incentivized

In order to use this tool, we need to spend some time learning this. Once it is familiar it is one of the best data privacy tools.

Incentivized

• Optim can save companies a lot of money by protecting the sensitive data found in their databases, thus avoiding the theft of real customer information with the economic and media impact that this has.
• Accelerate the generation of non-productive environments saving time from human resources.

Incentivized

• risk mitigation
• data loss prevention
• role based data access

Incentivized