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Collibra Platform vs Informatica Test Data Management (TDM) comparison

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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
8.0
Reviews Sentiment
6.2
Number of Reviews
90
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 8.4%, down 11.1% compared to last year.
Informatica Test Data Management (TDM), on the other hand, focuses on Test Data Management, holds 7.0% mindshare, down 15.7% since last year.
Data Governance Mindshare Distribution
ProductMindshare (%)
Collibra Platform8.4%
Microsoft Purview Data Governance8.5%
Informatica Intelligent Data Management Cloud (IDMC)4.7%
Other78.4%
Data Governance
Test Data Management Mindshare Distribution
ProductMindshare (%)
Informatica Test Data Management (TDM)7.0%
Perforce Delphix16.6%
Broadcom Test Data Manager13.5%
Other62.9%
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

"Collibra is definitely a good tool from a governance perspective."
"It shows how the data was transformed on the way and how the solutions were derived. This is the essence of the tool and why it is so powerful."
"The end-to-end solution itself is great. The most valuable is the workload feature that Collibra offers. There is a vast amount of flexibility in terms of how much we can customize. It gives us a lot of options to implement for a lot of purposes."
"Workflows is the most valuable feature of Collibra because we will typically use an interface for it and we can customize it as per our needs."
"Collibra Governance reduces the time-consuming aspects of the process; you'll need only one-fifth of the team as it'll depend on two to three people, and that's really important to businesses."
"We use the solution's Data Stewardship part."
"Collibra's lineage is a very powerful feature. We have integrated Collibra with Azure and ADLS storage and we create lineage diagrams using the two tools."
"Workflow is very helpful and assessment are good features. I really like the structure of this solution and how it is compartmentalized."
"Organizations working on different projects can benefit from this tool."
"A very user friendly tool and it’s not mandatory to be technical to use it."
"Informatica TDM is also developer-friendly, making it easy for ETL developers to pick up and use without extensive training."
"We do not need to write complex SQL statements as the solution provides a GUI to perform activities."
"The most valuable feature of TDM is its ability to mask data while maintaining referential integrity."
"These products are highly scalable in my experience; they are scalable both horizontally (grid, multi-node environment) and vertically (more CPU cores), and they are also scalable in terms of the pushdown capability to the database engine or Hive."
"The customer service and support are very responsive."
"This product saves time by enabling pretty quick development of data masking/sub-setting the Informatica code."
 

Cons

"Since we do have a lot of older legacy systems, things that aren't greenfield, if you will, it adds a lot more overhead than what we were originally led to believe when we originally purchased the product."
"They could simplify the platform's setup and design process. It requires significant IT involvement and expertise, which can be a barrier for smaller organizations."
"We had issues during setup."
"From a usability perspective, customers usually find some areas of the solution a bit complex. It takes a long time for the customers to get used to the UI and the interface."
"Data discovery would be the major area that requires improvement across the landscape and I'd also like to see data redundancies."
"I have seen many customers moving away from Collibra Lineage after using it for a couple of years because the cost-benefit analysis does not give them a favorable report."
"If the price is a bit reduced, that would be better."
"The platform can sometimes be unstable, particularly in terms of speed and reconnection issues."
"The interface design needs improvement. Sometimes it’s a bit cumbersome."
"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."
"There is a lag while opening the console, which is a concern from my end."
"The response from Informatica support was nil."
"If there were some methods to mask data in the cloud, then that would be good."
"There are numerous issues, and we have reported these to the Informatica vendor."
"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."
 

Pricing and Cost Advice

"The product is highly priced compared to other vendors."
"Collibra is a bit expensive."
"We purchase its annual license. There is an extra cost for additional users."
"Many of our customers I spoke to felt that the solution is a bit highly-priced."
"I would say it's probably in line with what other vendors charge for licensing."
"The solution's pricing is moderate and not very expensive."
"Collibra provides you with a license based on the subscription model that you purchase."
"I think it is on a yearly basis, but I'm not involved with the pricing session, so I have no idea. There are several licenses for different models. You get one license per product, but a lot of features are controlled separately through different licenses. So, as and when you want to use a feature, you have to procure the license for that feature."
"It's expensive because the license needs to be bought for some time period. It's not pay as you go."
"The cost is not an issue for enterprises, but for smaller businesses, it could be."
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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
15%
Outsourcing Company
8%
Computer Software Company
8%
Manufacturing Company
7%
Financial Services Firm
17%
Insurance Company
10%
Outsourcing Company
9%
Comms Service Provider
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise14
Large Enterprise65
By reviewers
Company SizeCount
Small Business3
Midsize Enterprise1
Large Enterprise10
 

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?
I have already had discussions with the Collibra Platform team regarding improvements. Having a more intuitive search and better natural language search queries would help business users more. Ther...
What is your primary use case for Collibra Data Intelligence Platform?
I utilize Collibra Platform for data catalog, data marketplace, and data governance-related activities. I have multiple data sources, and I perform extraction of data from those specific data sourc...
What advice do you have for others considering Collibra Data Intelligence Platform?
Collibra Platform is a good choice when selecting a data governance or data cataloging solution. I would recommend starting with a clear business use case and then cataloging everything at once, wh...
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: September 2026.
913,806 professionals have used our research since 2012.