Compare Compuware Topaz Enterprise Data vs. Informatica Persistent Data Masking

Cancel
You must select at least 2 products to compare!
Find out what your peers are saying about IBM, Delphix, Broadcom and others in Data Masking. Updated: November 2020.
448,775 professionals have used our research since 2012.
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

report
Use our free recommendation engine to learn which Data Masking solutions are best for your needs.
448,775 professionals have used our research since 2012.
Questions from the Community
Ask a question

Earn 20 points

Top Answer: The most valuable features are the structure masking and platform masking.
Top Answer: I don't see where it has much room for improvement.
Top Answer: We have a lot of applications with different functionality. We use Informatica mainly for sensitivity tests.
Ranking
16th
out of 25 in Data Masking
Views
119
Comparisons
45
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
4th
out of 25 in Data Masking
Views
1,593
Comparisons
1,221
Reviews
2
Average Words per Review
413
Avg. Rating
8.0
Popular Comparisons
Also Known As
Topaz Enterprise Data, Topaz for Enterprise DataData Masking, Informatica Data Masking
Learn
Compuware
Informatica
Overview

Topaz for Enterprise Data is part of the Topaz suite of mainframe development and testing tools. It enables developers and data architects to discover, visualize and work with both mainframe and non-mainframe data in a common, intuitive manner. Topaz for Enterprise Data enables developers to: Visually manage vast quantities of data objects using the Data Relationship Visualizer Visually understand and tune complex related data extracts to create optimal test data with the Extract Visualizer Edit multiple datatypes with a single Enterprise Data Editor Easily compare data Search for data values in one or more files Process related subsets of data with minimal database expertise Maintain relationally intact data based on referential integrity (RI) or application relationships (AR) Extract relevant data using easy-to-use selection criteria or key values Load data into new or existing objects and apply necessary data transformation rules Execute a list of specifications as a group Leverage Test Data Privacy to mask sensitive data to protect individuals’identities and business-confidential data

De-identify, de-sensitize, and anonymize sensitive data from unauthorized access for application users, business intelligence, application testing, and outsourcing.

Offer
Learn more about Compuware Topaz Enterprise Data
Learn more about Informatica Persistent Data Masking
Sample Customers
TCF Financial, Mutual of Omaha, FBL LeasingVale, Hot Telecommunication, UPMC
Top Industries
No Data Available
VISITORS READING REVIEWS
Computer Software Company36%
Comms Service Provider18%
Insurance Company12%
Financial Services Firm6%
Find out what your peers are saying about IBM, Delphix, Broadcom and others in Data Masking. Updated: November 2020.
448,775 professionals have used our research since 2012.

Compuware Topaz Enterprise Data is ranked 16th in Data Masking while Informatica Persistent Data Masking is ranked 4th in Data Masking with 2 reviews. Compuware Topaz Enterprise Data is rated 0.0, while Informatica Persistent Data Masking is rated 8.0. On the other hand, the top reviewer of Informatica Persistent Data Masking writes "Data transformation and test management features allow us to work with unstructured data". Compuware Topaz Enterprise Data is most compared with , whereas Informatica Persistent Data Masking is most compared with IBM Guardium Data Protection, Protegrity Data Security, IBM InfoSphere Optim, Delphix and Imperva SecureSphere Database Security.

See our list of best Data Masking vendors.

We monitor all Data Masking reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.