We performed a comparison between Collibra Governance and erwin Data Intelligence by Quest based on real PeerSpot user reviews.
Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Collibra Governance is a stable solution."
"It's a user-friendly tool, even for non-technical people."
"The customization and the dashboards are pretty good."
"The most valuable features of Collibra are the workflows and the data lineage capabilities."
"As far as the functionality of the tool is concerned, it's pretty slick."
"Workflow is very helpful and assessment are good features. I really like the structure of this solution and how it is compartmentalized."
"The beauty of the solution is that you can customize it quite a bit."
"This solution is user friendly and offers multiple functionalities. It operates like a kind of a repository that allows you to find anything about a particular data set or field."
"Being able to capture different business metrics and organize them in different catalogs is most valuable. We can organize these metrics into sales-related metrics, customer-related metrics, supply chain-related metrics, etc."
"erwin has tremendous capabilities to map right from the business technologies to the endpoint, such as physical entities and physical attributes, from a lineage standpoint."
"The biggest benefit with erwin DI is that I have a single source of truth that I can send anybody to. If anybody doesn't know the answer we can go back to it. Just having a central location of business rules is good."
"The data management is, obviously, key in understanding where the data is and what the data is. And the governance can be done at multiple levels. You have the governance of the code sets versus the governance of the business terms and the definitions of those business terms. You have the governance of the business data models and how those business data models are driving the physical implementation of the actual databases. And, of course, you have the governance of the mapping to make sure that source-to-target mapping is done and is being shared across the company."
"Mind map... is a really good feature because it is very helpful in seeing which column's tables are related. Also, you can flag them with "sensitive data" and other indicators. You can also customize your own features for the mind map. That was another very robust feature."
"The possibility to write automation scripts is the biggest benefit for us. We have several products with metadata and metadata mapping capabilities. The big difference when we were choosing this product was the ability to run automation scripts against metadata and metadata mappings. Right now, we have a very high level of automation based on these automation scripts, so it's really the core feature for us."
"The biggest impact for us is that erwin generates DDL extremely quickly. We're able to pull in metadata, map it to a target, generate DDL to create the tables, and generate SSIS packages. Previously, especially going back 10 to 15 years ago, hundreds of hours had to be spent to manually perform these tasks. This solution completely automates it and gets it 90% done. We can then pass it off to a developer to create the items in SSIS."
"The solution saves time in data discovery and understanding our entire organization's data."
"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."
"It would be better if there was a way to import all data and metadata in an automatic way in one block form."
"We are not able to ingest all the data in Collibra, and that's why we cannot do element-to-element level data tracking."
"We would like to have out-of-the-box automation."
"Recently, I find that the default process of issue management in Collibra is really complex — It wasn't really helpful to us."
"There are certain limitations and difficulties regarding the migration of complex data quality rules, as the tool may struggle with lengthy calculations and longer loading times."
"The UI is good if you happen to be an administrator and are familiar with the technical side of the administration. If you're a business user, the UI is not good. It is hard to learn. It is hard for those who are administering it to teach to end-users and it can take hours of training to do it. Because it is difficult and non-intuitive, business users resist using it. It is a battle to get them on board and to keep them engaged because of the UI."
"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."
"One big improvement we would like to see would be the workflow integration of codeset mapping with the erwin source to target mapping. That's a bit clunky for us. The two often seem to be in conflict with one another. Codeset mappings that are used within the source to target mappings are difficult to manage because they get locked."
"We chose to implement on an Oracle Database because we also had the erwin Data Modeler and Web Portal products in-house, which have been set up on Oracle Databases for many years. Sometimes the Oracle Database installation has caused some hiccups that wouldn't necessarily have been caused if we had used SQL Server."
"The versioning can sometimes be confusing because we use the publishing feature for the mapping. Technical analysts sometimes have two versions, and they should know that the public version is the correct one."
"The fact that I sometimes have to go in and out of different applications, even though it's all part of the whole erwin suite, perhaps means it could be architected a little bit better. I think they do have some ideas for improvements there."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"There is room for improvement with the data cataloging capability. Right now, there is a list of a lot of sources that they can catalog, or they can create metadata upon, but if they can add more then that would be a good plus for this tool."
"There are a lot of little things like moving between read screens and edit screens. Those little human interface type of programming pieces will need to mature a bit to make it easier to get to where you want to go to put the stuff in."
"There may be some opportunities for improvement in terms of the user interface to make it a little bit more intuitive. They have made some good progress. Originally, when we started, we were on version 9 or 10. Over the last couple of releases, I've seen some improvements that they have made, but there might be a few other additional areas in UI where they can make some enhancements."
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Collibra Governance is ranked 2nd in Data Governance with 41 reviews while erwin Data Intelligence by Quest is ranked 4th in Data Governance with 18 reviews. Collibra Governance is rated 7.6, while erwin Data Intelligence by Quest is rated 8.6. The top reviewer of Collibra Governance writes "Transformed our cross-functional business teams into one enterprise-facing view". On the other hand, the top reviewer of erwin Data Intelligence by Quest writes "Enabled us to centralize a tremendous amount of data into a common standard, and uniform reporting has decreased report requests". Collibra Governance is most compared with Microsoft Purview Data Governance, Informatica Axon, Alation Data Catalog, BigID and ASG Enterprise Data Intelligence, whereas erwin Data Intelligence by Quest is most compared with Microsoft Purview Data Governance, Alation Data Catalog, Informatica Axon, Collibra Lineage and AtScale Adaptive Analytics (A3). See our Collibra Governance vs. erwin Data Intelligence by Quest report.
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