We performed a comparison between Collibra Catalog and Informatica Test Data Management (TDM) based on real PeerSpot user reviews.
Find out what your peers are saying about Informatica, Alation, SAP and others in Metadata Management."We have had no complaints about the stability."
"Collibra Catalog's best feature is the data quality checker."
"The data lineage capability is valuable as it shows how different sources are connected and how data flows, which is crucial for projects like migrations. Moreover, data lineage visualization in Collibra Catalog aids our data governance initiatives."
"Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data."
"Collibra Catalog is simple to use and user-friendly for those who are not technically inclined since it is easy to find while also easy to see data lineage diagrams."
"The tool enabled us to leverage Teradata Parallel Transporter to write the masked data efficiently to our Teradata warehouse."
"Informatica Test Data Management is a complete solution. I'm not very deep in the technical aspect of the solution, but most of the workflows are now completely automated. There are some minor elements where we have to still add manual parts to the implementation."
"Organizations working on different projects can benefit from this tool."
"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"I'd like to see more integration with other reporting sources."
"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. For example, the data discovery which is part of both solutions is two separate things. If you have a data discovery in the data catalog, then we cannot use it for Informatica Test Data Management purposes and vice versa. The same software vendor, has two different products, with the same functionality. There's was no need to separate things. This is something which was a problem in a use case of the customer where this was the reason why they didn't choose the Informatica solution."
"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."
"Probably the ideal time testing site, utilizing self-service for real-time testing, could be an area for improvement."
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Collibra Catalog is ranked 5th in Metadata Management with 5 reviews while Informatica Test Data Management (TDM) is ranked 5th in Test Data Management with 10 reviews. Collibra Catalog is rated 7.8, while Informatica Test Data Management (TDM) is rated 7.8. The top reviewer of Collibra Catalog writes "A user-friendly for those who are not technically inclined and useful for cataloging various reports". On the other hand, the top reviewer of Informatica Test Data Management (TDM) writes "Beneficial for test cycle efficiency and scalability, but challenges exist in terms of technical support and user interface". Collibra Catalog is most compared with Informatica Enterprise Data Catalog, Ab Initio Co>Operating System, Talend Data Management Platform, Palantir Foundry and Denodo, whereas Informatica Test Data Management (TDM) is most compared with Delphix, Tricentis Tosca, Broadcom Test Data Manager, IBM InfoSphere Optim Test Data Management (TDM) and K2View.
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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.
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.