BigID vs. Informatica Data Privacy

Add context to data to get a bigger picture and make decisions regarding compliance, privacy, coverage, security, and governance.

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

• Coverage for all types of data
• Ease of use
• Good support

Incentivized

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

Incentivized

• Mobile application isn't that user friendly
• Doesn't work with some legacy systems
• Blips and or latency in every day use.

Incentivized

• documentation not available
• technical knowledge required

Incentivized

Affordable, scalable, seamlessly integrates with other applications, easy to configure and use. Great customer and product support. Affordable extended product support.

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

• Manage Enterprise data bolume
• Manage data sources
• Low impact on our system

Incentivized

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

Incentivized