Broadcom Test Data Manager Overview

Broadcom Test Data Manager is the #3 ranked solution in our list of top Test Data Management tools. It is most often compared to Informatica Test Data Management (TDM): Broadcom Test Data Manager vs Informatica Test Data Management (TDM)

What is Broadcom Test Data Manager?

CA Test Data Manager offers an automated solution to one of the most time-consuming and resource-intensive problems in Continuous Delivery - creating, maintaining and provisioning of the test data needed to rigorously test evolving applications. CA Test Data Manager uniquely combines elements of data subsetting, masking and synthetic, on-demand data generation to enable testing teams to meet the agile needs of the organization.

Broadcom Test Data Manager is also known as CA Test Data Manager, DataMaker, DataFinder, Fast Data Masker, CA TDM.

Broadcom Test Data Manager Buyer's Guide

Download the Broadcom Test Data Manager Buyer's Guide including reviews and more. Updated: February 2021

Broadcom Test Data Manager Customers

Manheim, Arag

Broadcom Test Data Manager Video

Pricing Advice

What users are saying about Broadcom Test Data Manager pricing:

"The cost of this tool is pretty high... CA provides licenses for different utilities like masking but even if you break it up, the pricing is still high."
"Part of the licensing is dependent on whether you want to use the portal. It's based on floating users. The other part is dependent on what type of system you are using. We are using mainframe, so we paid good money for a mainframe license."

Broadcom Test Data Manager Reviews

VarshaBarde

Practice Head - Digital Testing at a tech services company with 10,001+ employees

Mar 17, 2021

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Synthetic data generation enables us to create multiple copies of similar data, but the UI needs improvement

What is our primary use case?

We use it for enterprise-level solutions.

Pros and Cons

"The synthetic data generation is really good... You can write rules and create permutations and combinations according to your needs. Or you can take a snippet of the Prod data and replicate it."

"The integration with various utilities is also really important. That still has to happen. That's a major area for improvement."

What other advice do I have?

I have been acquainted with this tool for three-and-a-half years and, since it was acquired by CA, we have worked pretty closely with CA to give feedback on what is expected out of the tool. We have worked very closely with the developers, as well, to enhance the tool. We have two or three clients using it.

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Güzen Erözel Muslu, M Sc.,Istqb

IT Specialist at a financial services firm with 1,001-5,000 employees

Mar 26, 2019

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Masks and generates data while obeying the relationships in our relational databases

What is our primary use case?

We use it for data generation, for performance testing, and other test cases. We also use data masking and data profiling for functional testing. Data masking is one of the important aims in our procurement of this tool because we have some sensitive data in production. We have to mask it to use it in a testing environment. Our real concern is masking and we are learning about this subject.

Pros and Cons

"The data generation is one of the most valuable features because we are able to write a lot of rules. We have some specific rules here in Turkey, for example, Turkish ID IBAN codes for banks."

"There are different modules for masking. There is a portal and there is a standalone application as well. The standalone application is more old-fashioned. When you write rules on this old-fashioned interface, because it has more complex functions available for use, you can't migrate them to the portal."

What other advice do I have?

It's important to know the requirements of your system, for example, the security policies you have to observe. The requirements may include a concern about relational or other database systems. You have to know your systems. Depending on your system, consider using one or more consultants, because we had a problem just using one. Also, compare all the tools by doing proofs of concept. That's important. We have been using it for three months, but before that we also did a proof of concept in stages for about a year. Regarding future use, we plan to use it in automation testing with content…

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