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 comes with a lot of features, and we have used it in one of our projects for metadata management and data lineage."
"The most important feature in Collibra Governance is the ability to gather data or a collection of data into one repository. If a client creates a repository at his place, then it will get updated to the cloud automatically."
"We have folks in the field doing our clinical research operations, and they have the opportunity to refer to Collibra when they are examining a particular report. When they have a question about how something in that report is derived, they can pull a metric that is defined fully in Collibra. They have the opportunity to drill back into Collibra to see that."
"The most valuable features of Collibra Governance are that it is user-friendly and easy to use."
"The diagram showing the limits is absolutely magnificent."
"It enables a linear view of the data assets across different levels, providing a comprehensive understanding."
"The most valuable feature is the Technical Lineage. The fact that you can trace the auditability of a particular field or attribute across various systems is very useful."
"We use the solution's Data Stewardship part."
"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 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."
"We use the codeset mapping quite a bit to match value pairs to use within the conversion as well. Those value pair mappings come in quite handy and are utilized quite extensively. They then feed into the automation of the source data extraction, like the source data mapping of the source data extraction, the code development, forward engineering using the ODI connector for the forward automation."
"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 solution gives us data lineage which means we can see an impact if we make a change. The ability for us to have that in this company is brilliant because we used to have 49 data stewards from some 23 different groups within six major departments. Each one of those was a silo unto itself. The ability to have different glossaries — but all pointed to the same key terms, key concepts, or key attributes — has made life really simple."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"It is a central place for everybody to start any ETL data pipeline builds. This tool is being heavily used, plus it's heavily integrated with all the ETL data pipeline design and build processes. Nobody can bypass these processes and do something without going through this tool."
"Data Intelligence allows us to automate multiple tasks we had previously done manually, such as restructuring the metadata for our purposes, setting up ETL flows, and defining the data tables we create. It also enables us to standardize our approach and our technical processes."
"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 interface is not very user-friendly and can be difficult to navigate."
"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."
"Occasionally we get little bugs that occur, however, this is typical."
"While connecting with the data source, it's not very easy. If there's a firewall, it is difficult to connect with the database. It's not easy when you are configuring on the database."
"What I use it for is fairly rudimentary, and I don't have any complaints about it. I haven't tried to stretch the boundaries at all, but it would be nice if there were capabilities built within the system to somehow help enforce the quality and consistency across related elements that are built in the catalog. It could have intelligent capabilities built in to help maintain the quality of the data and information, such as natural language processing, machine learning, and so on."
"We would like to have out-of-the-box automation."
"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 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."
"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 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."
"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 was a huge learning curve, and I'd been in software development for most of my career. The application itself, and how it runs menus and screens when you can modify and code, is complex. I have found that kind of cumbersome."
"Another area where it can improve is by having BB-Graph-type databases where relationship discovery and relationship identification are much easier."
"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."
"The metadata ingestion is very nice because of the ability to automate it. It would be nice to be able to do this ingestion, or set it up, from one place, instead of having to set it up separately for every data asset that is ingested."
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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, Alation Data Catalog, Informatica Axon, BigID and ASG Enterprise Data Intelligence, whereas erwin Data Intelligence by Quest is most compared with Microsoft Purview, 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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