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Collibra Platform vs Informatica Test Data Management (TDM) comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

Categories and Ranking

Collibra Platform
Average Rating
7.8
Reviews Sentiment
6.2
Number of Reviews
89
Ranking in other categories
Data Governance (1st), Metadata Management (1st), AI Governance (1st)
Informatica Test Data Manag...
Average Rating
7.8
Reviews Sentiment
6.0
Number of Reviews
13
Ranking in other categories
Test Data Management (5th)
 

Mindshare comparison

Collibra Platform and Informatica Test Data Management (TDM) aren’t in the same category and serve different purposes. Collibra Platform is designed for Data Governance and holds a mindshare of 8.6%, down 11.9% compared to last year.
Informatica Test Data Management (TDM), on the other hand, focuses on Test Data Management, holds 7.3% mindshare, down 16.6% since last year.
Data Governance Mindshare Distribution
ProductMindshare (%)
Collibra Platform8.6%
Microsoft Purview Data Governance9.2%
Informatica Intelligent Data Management Cloud (IDMC)4.9%
Other77.30000000000001%
Data Governance
Test Data Management Mindshare Distribution
ProductMindshare (%)
Informatica Test Data Management (TDM)7.3%
Perforce Delphix17.1%
Broadcom Test Data Manager13.8%
Other61.8%
Test Data Management
 

Featured Reviews

AK
Senior Consultant at Morgan Stanley
Data governance has transformed business glossaries and now drives AI-ready insights
I think it's a great platform. Searching can be made a little better. The data marketplace which it provides is also great, but sometimes when we are searching an element and we know we are not sure if we can find it or if we have missed it. Listing data domains in one place for quick visibility will be an add-on. I am not a hardcore coder. For a coder to create workflows and automate the process, I needed to learn Groovy script and create some workflows. In the automation part, I think it can also introduce a low-code, no-code platform where we can connect different connectors and we can quickly create some automated workflows, if at basic level only, because the next big thing is automation and AI. Low-code, no-code platforms are being used by everyone. I think that will be useful. When I look for a data domain, I'm not able to find it very quickly. For a business owner to know data domains and search data domains, it could be made a little easier. Also, the automation part needs improvement. We are only able to enter the data manually or connect to a data source, but now we want to create some workflows as well. That's why I've chosen a rating of eight. Otherwise, it's really great.
Raj Sethupathi - PeerSpot reviewer
Data Integration Consultant GCP/AWS at a consultancy with 10,001+ employees
Seamlessly connects with the ETL engine and has its own policy pack, reducing the need for custom coding
I've only worked with versions 9.7 and 10.5.1, and I'm not familiar with the newest features in the current version, 10.5.1. However, I'm sure they have incorporated AI capabilities, as that is the current industry trend. It is this new buzzword. Informatica itself introduced CLAIRE AI. I am four versions behind. So, it would be good if I upgraded. Plus, Informatica has rebranded this TDM. It's not even originally from Informatica. They purchased the company that makes the application around 2010. Informatica has purchased so many companies for different purposes, like business-to-business, test data management, and more. They change the trade name so frequently. It used to be ILM, Informatica Lifecycle Management, then they changed it to something else, then Test Data Management, and then Security Governance and Policy Management or something like that. It's all different names for the same product. Frequent rebranding and name changes can create confusion for customers.

Quotes from Members

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

Pros

"Essentially, it has provided us with more trust and transparency — this is the real benefit that we've got out of Collibra."
"Collibra Platform provides a great user experience for the first time someone is entering Collibra Platform, as they have a few things that are already packaged for you, so you don't have to start from scratch."
"While Collibra is hands-down the best data governance collaboration platform, clients should review the different options to ingest metadata based on the targeted source systems."
"Collibra Platform has achieved improved data discoverability and governance standardization with reduced manual efforts and better compliance visibility."
"Collibra Platform is a wonderful platform that has helped with metadata ingestion in real projects."
"The ability to collaborate and approve business terms for the business glossary data dictionary is excellent."
"The most valuable features of Collibra Catalog are its customizability and ease of use."
"Through the business glossary, the data discovery time, such as the data search time gets reduced by almost 50%."
"We do not need to write complex SQL statements as the solution provides a GUI to perform activities."
"Dynamic data masking is a valuable feature of this product."
"Organizations working on different projects can benefit from this tool."
"The customer service and support are very responsive."
"The tool enabled us to leverage Teradata Parallel Transporter to write the masked data efficiently to our Teradata warehouse."
"A very user friendly tool and it’s not mandatory to be technical to use it."
"It is an excellent product."
"Informatica TDM is also developer-friendly, making it easy for ETL developers to pick up and use without extensive training."
 

Cons

"In terms of improvements, I would highlight a few points that could be enhanced in the Collibra Data Intelligence Platform."
"Where it isn't great is on older technologies that you'll typically find in finance or insurance industries, such as older types of data with VSAM or ISAM, or those types of older technologies. It just doesn't connect with them very easily."
"There is room for improvement in the Collibra Data Catalog regarding data classification and categorization. It struggles to catalog all categories of data, particularly sensitive data on-prem, which GCP Data Catalog handles better."
"Every time you change or publish a new questionnaire for certification, you have to basically go into the code and update the new version of the questionnaire."
"I find that Collibra Platform could improve its performance, as it is very slow when you do uploads and when you want to dig into lineage."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"Data discovery needs to be improved."
"If it can become more user-intuitive and work on integrating with communication platforms like Slack or Teams, it would significantly help business users."
"When it came time to upgrade from 9.7 to 10.1, we could upgrade all the other products, but there was an issue with TDM. It seemed like they weren't ready for the upgrade."
"A lot of improvement is needed, mainly due to the fact that the tool is very slow."
"Frequent rebranding and name changes can create confusion for customers."
"The interface design needs improvement. Sometimes it’s a bit cumbersome."
"The UI experience is a little bit old. When applying more than 80 columns, it means doing it in phases, as it won't allow it in one go."
"The response from Informatica support was nil."
"Probably the ideal time testing site, utilizing self-service for real-time testing, could be an area for improvement."
"Informatica has a data governance suite, and at the moment, there is no connection between the data governance elements, such as the data catalog, and the Informatica Test Data Management software."
 

Pricing and Cost Advice

"Collibra offers a per-user licensing model."
"There are different licenses available for Collibra Lineage based on what kind of access you want. If you want, for example, a read-only license they have different ones to pick from."
"I rate the pricing a three on a scale of one to ten, where one is expensive, and ten is cheap."
"Collibra Governance is expensive - I would rate its pricing as one out of five."
"Collibra Governance is an expensive solution."
"Many of our customers I spoke to felt that the solution is a bit highly-priced."
"I am not so much aware of price details. Initially, there was an add-on NuSoft license to use the DVC connector that NuSoft gives to create integrations, but Collibra is now phasing out of it slowly. Collibra is cutting ties with them is what we have been led to believe, and we have started developing on Spring Boot, which is open source."
"The product is highly priced compared to other vendors."
"The cost is not an issue for enterprises, but for smaller businesses, it could be."
"It's expensive because the license needs to be bought for some time period. It's not pay as you go."
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Answers from the Community

AM
Data Warehouse Analyst at a financial services firm with 10,001+ employees
Dec 2, 2021
Dec 2, 2021
Depending on your requirement you would want to select the right tool to achieve your requirement based on the suggestions below. 1. Data Discovery and Obfuscation with Classification you would need a tool that is capable of handling referential integrity ensuring that when a data is Identified as PII (Personally Identifiable Information) is obfuscated correctly e.g. If Jim is Obfuscated to Jac...
See 2 answers
Ronald D'Souza - PeerSpot reviewer
Presales Consultant for CA Southern Africa at Hyperion Holding Pty Ltd
Dec 1, 2021
Depending on your requirement you would want to select the right tool to achieve your requirement based on the suggestions below. 1. Data Discovery and Obfuscation with Classification you would need a tool that is capable of handling referential integrity ensuring that when a data is Identified as PII (Personally Identifiable Information) is obfuscated correctly e.g. If Jim is Obfuscated to Jack then any relatable references of Jim is always masked as Jack. Cross Reference mapping is a key in Test Data Management that deals with taking data from Production and making it available in Non-Prod sanitizing the data to have meaningful information but not identifiable information.  Once the data rules for sanitization are defined applying the data rules in the most efficient way will be another criteria to consider. You would not want your data not to be available during the process of obfuscation or have a DB performance issue. You should also consider capabilities like continuality in case your obfuscation process fails midway  you would want to continue from the last updated record (Informatica Test Data Manager for relational database only, Broadcom Test Data Manager for relational database only and some non-relational databases and flat files, Collibra for structured and some unstructured data source) 2. How often will my data be refreshed, If it is very often then you would want to subset the data to only include changes in your refresh as the obfuscation process is resource-intensive and could lead to performance degradation on a continuous refresh of a large database.  (Informatica Test Data Manager for relational database only, Broadcom Test Data Manager for relational database only and some non-relational databases and flat files, Collibra for structured and some unstructured data source) 3. How often does my database need restore for testing and how often would you get conflict due to multiple tests running on the same environment. You would want to consider virtualizing the data like Virtual Machine to prevent regular restore and having a quick checkpoint to roll to once testing is completed and also giving the capability to the tester to have their own test environment (Broadcom Test Data Manager for a relational database). 4. Is data generation your requirement, do you need to add missing data or generate data for a newly developed system. Would you want to generate data that meet negative and positive test case scenarios? E.g. Getting a valid Social Security number that is usable but has no actual entity to be identified to, Generating a Visa card dummy number that will pass visa validation but is not a valid card (Informatica Test Data Manager for relational database only, Broadcom Test Data Manager for relational database only and some non-relational databases and flat files) 5. Data Discovery would also be a good to have feature, like the capability to scan data and column in your data source and identify information that could be PII data - (Informatica Test Data Manager for relational database only, Broadcom Test Data Manager for relational database only and some non-relation databases, Collibra for structured and some unstructured data source) 6. Classification of the databased on discovery and risk of the data in the data source (Informatica Test Data Manager support, Broadcom Test Data Manager support, Collibra supports) 7. How diverse is my data sources. does my data reside on the same database or multiple databases, are the relationship that exists across databases and are all the databases supported by the tool.  8. Do data only reside in the database or in a Flat file, will the tool be capable of providing test data management to flat-file like CSV, XML and so on. 
CF
Co Founder at ACONDA
Dec 2, 2021
With just those few requirements, I'd opt for a simpler tool such as the one by dScribe from a cataloging point of view.  If validation of the actual data is a requirement then the most complete offering today is Collibra's.
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Computer Software Company
8%
Manufacturing Company
8%
Outsourcing Company
7%
Financial Services Firm
18%
Insurance Company
10%
Manufacturing Company
7%
University
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise14
Large Enterprise63
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise10
 

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?
The user experience of Collibra Platform could be better. Even though there is a large research tab, I think it could be more customizable, meaning I could add filters. Currently, it does not have ...
What is your primary use case for Collibra Data Intelligence Platform?
My main use case for Collibra Platform is data governance and traceability of data sources. For governance or traceability in my work, I can provide a specific example: we migrated a couple of data...
What advice do you have for others considering Collibra Data Intelligence Platform?
The advice I would give to others looking into using Collibra Platform is that every tool has a learning curve. They should pursue it; Collibra Platform is a very well-developed and well-explained ...
What needs improvement with Informatica Test Data Management (TDM)?
A lot of improvement is needed, mainly due to the fact that the tool is very slow. There are numerous issues, and we have reported these to the Informatica vendor. They don't seem to be focusing mu...
What is your primary use case for Informatica Test Data Management (TDM)?
We cannot provide production data to our testing teams, so we use TDM to encrypt or mask the data and create a copy for them. Many teams rely on our data, and TDM helps maintain data security by ma...
What advice do you have for others considering Informatica Test Data Management (TDM)?
TDM is a worthwhile recommendation if the customer is interested, but for small-scale companies that do not want to spend a lot, it might be too costly. I'd rate the solution seven out of ten.
 

Also Known As

Data Intelligence Platform, Collibra AI Governance, Collibra Catalog, Collibra Governance, Collibra Lineage, Collibra Privacy & Risk
Informatica TDM
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Vale, Hot Telecommunication
Find out what your peers are saying about Collibra, Microsoft, Informatica and others in Data Governance. Updated: July 2026.
908,800 professionals have used our research since 2012.