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Collibra Catalog vs Denodo comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Collibra Catalog
Average Rating
8.0
Reviews Sentiment
7.3
Number of Reviews
11
Ranking in other categories
Metadata Management (3rd)
Denodo
Average Rating
8.0
Reviews Sentiment
6.8
Number of Reviews
37
Ranking in other categories
Data Integration (9th), Data Virtualization (1st), Cloud Data Integration (5th)
 

Mindshare comparison

Collibra Catalog and Denodo aren’t in the same category and serve different purposes. Collibra Catalog is designed for Metadata Management and holds a mindshare of 11.8%, up 10.2% compared to last year.
Denodo, on the other hand, focuses on Data Virtualization, holds 40.2% mindshare, up 40.6% since last year.
Metadata Management
Data Virtualization
 

Featured Reviews

Tejbir Singh - PeerSpot reviewer
Facilitates data quality monitoring and AI governance with a complete suite of tools
When I initially started with Collibra, it was just a data cataloging platform with governance workflows around it. Now they have acquired a lot of other tools, or they have merged or acquired different platforms. It is a complete suite of tools for managing data. We can monitor data quality and take actions on the profiling results obtained by running data quality checks. Collibra helps catalog data assets, monitor the health of data assets, and take necessary actions. If we find data quality issues, it also provides a medium to capture those issues and how to remediate them. The workflows allow the creation of custom workflows based on needs. The newest addition in their tool suite is AI governance, which allows cataloging all AI models currently deployed or even in the pre-production stage. It helps document model meanings and the risks involved, thus managing all risks related to AI deployments.
Atanu Chatterjee - PeerSpot reviewer
Data virtualization and integration enabled while caching and scalability room for improvement
In terms of improvements for Denodo, regarding performance, in cases where there are multiple virtualizations—such as reading from one Denodo view that is virtualized, and from that view there's also virtualization, and another team is reading from that view—if multiple virtualizations happen with no caching in between, it becomes slow. This occurs because it is cascading; whenever at the top level someone is reading data, that request is getting cascaded to the nth level, causing issues, especially in cases such as Power BI reports. We need to consider implementing some persistent layer in between. The scaling process should improve because many things are getting automated. The scale-out part needs to be automated, though I am uncertain whether Denodo has already implemented that feature.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The most valuable features of Collibra Catalog are its customizability and ease of use."
"Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances."
"Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation."
"The workflows allow the creation of custom workflows based on needs."
"Collibra Catalog's best feature is the data quality checker."
"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."
"Gartner identifies Collibra Catalog as the leader, which aligns with our observations."
"We have had no complaints about the stability."
"It allows a lot of traceability and you can decide what data you want to collect"
"The most valuable feature in Denodo is data virtualization."
"The performance and the speed to market are the most valuable features of this solution."
"Overall, I would rate Denodo a nine out of ten."
"One thing that we have noticed is that when you have a BI tool, you end up building a lot of the logic in the BI tool, but as a company, every company wants to be tool agnostic because today, you could be in the Qlik Sense, and tomorrow, you may decide to go with Tableau or something else that is there. If you have put a lot of logic within the tool, transitioning or moving away from one BI tool to another tool becomes a very intensive process. By keeping the logic in Denodo, you can move to any tool."
"It is a go-to tool for data virtualization. The virtualization and data catalog are the features of why we chose Denodo."
"It is a very stable solution."
"In general, it's good for us to make tests so we can scout the data."
 

Cons

"I'd like to see more integration with other reporting sources."
"In Collibra Catalog, the main area that has room for improvement is the search functionality. It should be more natural language oriented instead of searching for exact names."
"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."
"There is an issue with Collibra Catalog's pricing model, especially for organizations with many databases, as the initial package comes with a limited number of connectors."
"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."
"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."
"One of the very key drawbacks is that automation for access provisioning is not available. If I discover a data set or data product in the marketplace and want to access the data, this feature doesn't exist at all."
"Denodo shows stability concerns due to its dependency on external environments, such as JVM."
"We would like this solution to be more universally user-friendly. At present it is really only aimed at IT specialists."
"There have been some issues when you are at a table. Currently, Denodo exports data sets for a tabular model. When you are finished modeling your database or data warehouse they export a link to be used in Tableau. They should support other tools like Power BI."
"I would like to see a proper way to avoid killing the sourcing systems."
"There are a couple of areas that can be improved in Denodo. From a stability point of view, sometimes we see issues in the data management functionality. This only happens now and then, however, and usually takes place when we add in our own customization."
"We can't scale it to meet digital requirements."
"Data transformation must be improved."
"It requires improving the story of how it can solve specific problems."
 

Pricing and Cost Advice

"The product is highly priced compared to other vendors."
"I think they can bring a few more features and align better with other quality products."
"Collibra offers a per-user licensing model."
"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
"For us, the cost has been okay. Also, there are no additional costs; it's just the standard licensing fee."
"Denodo provides a lightweight 30-day free trial, but when we do courses on top of it, it costs $150 for each person."
"There is an express edition and a licensed enterprise edition."
"The pricing is pretty good, and I would rate it at four out of five."
"I don't know the actual cost, but it's tens of thousands of dollars per month."
"I am not super familiar with the pricing, but so far, it seems good. We have been happy. We haven't seen any problems. The only time we had to pay extra was during the upgrade. We didn't upgrade at the time they told us to upgrade, and we had to pay extra to keep the service. They had stopped the support for the older version and moved to the newer version. It was not their fault. It was our fault because we didn't get on board quickly."
"Cost wise, on a scale from one to five, with one being the cheapest and five being the most expensive, Denodo would be at three. We get all the features in a bundle."
"The licensing charges for this solution are payable annually."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
9%
Manufacturing Company
7%
Government
6%
Financial Services Firm
23%
Manufacturing Company
10%
Computer Software Company
9%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Collibra Catalog?
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 C...
What is your experience regarding pricing and costs for Collibra Catalog?
Pricing is not under my purview as I am an architect. The platform team handles the licensing aspects.
What needs improvement with Collibra Catalog?
I have utilized the sophisticated search capability in Collibra Catalog, and it can be improved by implementing more natural language search capabilities. Currently, we need to enter the asset name...
Does Denodo provide useful data virtualization education? Is it useful to attend their training?
If you are a Denodo user, it makes sense to undergo their training. Different types of professionals can benefit from it, including administrators, developers, and architects. If you are keen on i...
In experience, what might Denodo be lacking or need improvement on?
I like Denodo a lot. It offers quick and easy web service deployment within minutes. There are not any flaws that I think make the product less good or effective. The only thing I can point out is...
Which industries can benefit from Denodo the most?
Denodo is suitable for pretty much all sectors that deal with: Big data Cloud solutions Data governance Logical data fabric Master data management In my opinion, organizations in different fields...
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Autodesk, VHA, AAA, Sumitomo Mitsui Trust Bank, Caterpillar, European Chemical Agency, Seagate, Nationwide, Time Warner Cable, Pantex, Inditex, BNSF Railways, Vodafone, CIT Group, Jazztel, Wolters Kluwer, Telefonica, TransAlta
Find out what your peers are saying about Informatica, Alation, Collibra and others in Metadata Management. Updated: June 2025.
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