Data De-identification and Pseudonymity Software

Data de-identification and pseudonymity software is a type of data masking software which enables businesses to use realistic data but not personally identifiable datasets to protect its customer and employee data.

Data de-identification and pseudonymity software is a type of data masking software which enables businesses to use realistic data but not personally identifiable datasets to protect its customer and employee data.

Data deidentification and pseudonymity software works by replacing the original data with artificial identifiers to protect the anonymity of users and comply with data privacy regulations such as GDPR and HIPAA.

If you’d like to learn about the ecosystem consisting of Data De-identification and Pseudonymity Software and others, feel free to check AIMultiple Data.

Compare Best Data De-identification and Pseudonymity Software

Results: 32

AIMultiple is data driven. Evaluate 32 services based on comprehensive, transparent and objective AIMultiple scores.
For any of our scores, click the information icon to learn how it is calculated based on objective data.

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Data De-identification and Pseudonymity Software Leaders

According to the weighted combination of 7 data sources

Immuta

TokenEx

IBM InfoSphere Optim Data Privacy

Informatica Data Security Cloud

Privacy Analytics Eclipse

What are Data De-identification and Pseudonymity Software market leaders?

Taking into account the latest metrics outlined below, these are the current data de-identification and pseudonymity software market leaders. Market leaders are not the overall leaders since market leadership doesn’t take into account growth rate.

IBM InfoSphere Optim Data Privacy

Immuta

TokenEx

Informatica Data Security Cloud

Privacy Analytics Eclipse

What are the most mature Data De-identification and Pseudonymity Software?

Which data de-identification and pseudonymity software companies have the most employees?

59 employees work for a typical company in this solution category which is 38 more than the number of employees for a typical company in the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 12 companies with >10 employees are offering data de-identification and pseudonymity software. Top 3 products are developed by companies with a total of 6k employees. The largest company building data de-identification and pseudonymity software is Informatica with more than 4,000 employees.

Informatica
Imperva
AvePoint
Thales Group
IBM

What are the Data De-identification and Pseudonymity Software growing their number of reviews fastest?


We have analyzed reviews published in the last months. These were published in 4 review platforms as well as vendor websites where the vendor had provided a testimonial from a client whom we could connect to a real person.

These solutions have the best combination of high ratings from reviews and number of reviews when we take into account all their recent reviews.

What is the average customer size?

According to customer reviews, most common company size for data de-identification and pseudonymity software customers is 1-50 Employees. Customers with 1-50 Employees make up 35% of data de-identification and pseudonymity software customers. For an average Data solution, customers with 1-50 Employees make up 35% of total customers.

Overall
Customer Service
Ease of Use
Likelihood to Recommend
Value For Money

Customer Evaluation

These scores are the average scores collected from customer reviews for all Data De-identification and Pseudonymity Software. Data De-identification and Pseudonymity Software is most positively evaluated in terms of "Customer Service" but falls behind in "Ease of Use".