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."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."
"The most valuable features of Collibra are the workflows and the data lineage capabilities."
"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."
"I like Collibra's flexibility. I like to be able to modify things for our own use. For example, we've chosen to use Collibra also as a knowledge management tool, even though it is not designed to be a knowledge management tool. That's the beauty of it. It can serve as a knowledge management tool by creating some custom assets specifically for knowledge management."
"The diagram showing the limits is absolutely magnificent."
"I find the metadata feature valuable because it replaces the coding."
"The solution's most valuable features are its scalability and how it can be integrated to any other intakes."
"In terms of data governance, as I mentioned, it can be a one-stop solution for all of your data governance needs."
"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."
"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."
"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."
"The interface is easy to use. I also like Erwin's automatic data classification and data quality checks."
"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."
"Data Intelligence has provided more profound insights into legacy data movements, lineages, and definitions in the short term. We have linked three critical layers of data, providing us with an end-to-end lineage at the column level."
"The data mapping manager is the most valuable feature."
"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."
"The connectors are not very sophisticated. They can do, for example, Informatica and Tableau, but the connectors themselves could be improved."
"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."
"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."
"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."
"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."
"Occasionally we get little bugs that occur, however, this is typical."
"I would like to see a feature using the runtime dashboard."
"No easy way to connect to different data sources."
"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."
"The solution's Arabic language processing is limited. The results are limited when you use the interface in Arabic."
"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 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."
"The data quality assessment requires third-party components and a separate license."
"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 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 3rd in Data Governance with 18 reviews. Collibra Governance is rated 7.6, while erwin Data Intelligence by Quest is rated 8.4. 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 Microsoft Purview Compliance Manager. See our Collibra Governance vs. erwin Data Intelligence by Quest report.
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