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."We use the solution's Data Stewardship part."
"There is a good community setup around the solution that can provide insights."
"The solution's most valuable features are its scalability and how it can be integrated to any other intakes."
"The most valuable feature is the discovery process for the data catalog because we get it in a visual format as a way to understand and classify it."
"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."
"Provides a good view of the data and how it's being utilized, as well as calibration quality."
"It's a user-friendly tool, even for non-technical people."
"Workflow is very helpful and assessment are good features. I really like the structure of this solution and how it is compartmentalized."
"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."
"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."
"The data mapping manager is the most valuable feature."
"Data Intelligence creates a single source of truth for all of our metadata. This solution is better for data warehousing, but the metadata features speed up our development work. It's easy to create and manage mappings because we can export them to Informatica and pick up the work where we left off."
"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 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."
"The solution saves time in data discovery and understanding our entire organization's data."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"It should have more integrations with things like CyberArk because its main purpose is GDPR implementation. We have to have more scope for things that implement more privacy. CyberArk makes sure your credentials are vaulted and your things are secure when you're creating your integrations or connecting to an application. I do believe that they are working on this feature."
"I'm fairly new to the product, however, what I generally hear from my clients is that the requirement around having ways to ingest more metadata."
"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."
"No easy way to connect to different data sources."
"There are certain processes that involve a lot of manual work, specifically when searching for attributes assignment. It would be better if we could do this via APIs."
"Many other tools like Collibra Governance give you the option to actually see the data in the tool, which is not an option in Collibra."
"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 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."
"If we are talking about the business side of the product, maybe the Data Literacy could be made a bit simpler. You have to put your hands on it, so there is room for improvement."
"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."
"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."
"Everything about Data Intelligence is complex. Though we've used the tool for five years, we're still only using about 30 to 40 percent of its capabilities. It would be helpful if we could customize and simplify the user interface because there are so many redundant things."
"It's a little bit clunky. I think a lot of these features were bolted on, and they don't necessarily transition smoothly in the interface. I would like to see a little more cohesion."
"The integration with various metadata sources, including erwin Data Modeler, isn't smooth in the current version. It took some experimentation to get things working. We hope this is improved in the newer version. The initial version we used felt awkward because Erwin implemented features from other companies into their offering."
"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."
"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."
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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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