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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
7.4
Number of Reviews
10
Ranking in other categories
Metadata Management (3rd)
Denodo
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
36
Ranking in other categories
Data Integration (13th), Data Virtualization (1st), Cloud Data Integration (10th)
 

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 9.9% compared to last year.
Denodo, on the other hand, focuses on Data Virtualization, holds 40.8% mindshare, up 40.1% 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.
Snehasish Das - PeerSpot reviewer
Enable efficient AI and ML development through a unified virtual data environment
The most valuable feature in Denodo is data virtualization. This feature focuses on creating a virtualized data environment that allows for simpler connections between data sources and systems. It significantly eases the process of developing AI and ML strategies by centralizing access to various data sources and allowing algorithms to efficiently connect to and utilize data.

Quotes from Members

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

Pros

"Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances."
"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."
"Collibra Catalog has significantly enhanced data governance and compliance for our team, primarily through its valuable feature of endpoint lineage enabling visual representation of the data."
"Collibra Catalog's best feature is the data quality checker."
"The workflows allow the creation of custom workflows based on needs."
"We have had no complaints about the stability."
"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 Collibra Catalog aids our data governance initiatives."
"Except for data quality, everything is perfect."
"It allows a lot of traceability and you can decide what data you want to collect"
"It can support a number of data sources, and it can pull flat files, from cloud-based databases or from those on-premises. Denodo can pull from any data source and interface with the view. Then, we can publish the view."
"The best thing about Denodo is that creating and deploying a web service can be done in about 10 minutes, compared to a whole day when it comes to other solutions (such as when deploying with Java and AWS)."
"The most valuable feature in Denodo is data virtualization."
"The ability to connect to a lot of different sources."
"It provides useful APIs and integrates with other systems."
"We can consume data fast."
"Denodo is very stable."
 

Cons

"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."
"More automation and artificial intelligence involvement are necessary. Reducing required employee involvement and enhancing ease of use are vital."
"If it can become more user-intuitive and work on integrating with communication platforms like Slack or Teams, it would significantly help business users."
"I'd like to see more integration with other reporting sources."
"Collibra Catalog could improve its automation to increase the efficiency of the software."
"The tool's overall functionalities need to improve since, nowadays, many tools, from a business perspective, are easy to use."
"If the price is a bit reduced, that would be better."
"A key area for improvement in Collibra Catalog lies in its integration capabilities, particularly with a broader range of sources."
"The feature that you have to connect on LDAP needs improvement."
"Monitoring event logs can be improved. In the older version, there was a monitoring schedule to get event reports and properly audit the reports. In the newer version, it is not there, and we have to manually configure data and audit events."
"The solution is slow when there are many virtualization layers."
"I am still waiting for Denodo to support vector databases."
"Tasks such as conversion of a date format or conversion of a number format that can be done in a very easy way in different languages, like SQL or Oracle, are not so easy to do in Denodo. For example, if you want to convert a date from one format to another, in Oracle it's pretty easy; in Denodo, however, it requires so many lines of code. Simple things that can be done very quickly in other database languages require more lines of code in Denodo."
"We can't scale it to meet digital requirements."
"Sometimes, Windows-related functions do not work properly in Denodo. The analytic functions in SQL do not work properly."
"We occasionally have some integration issues that we need to work through."
 

Pricing and Cost Advice

"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
"I think they can bring a few more features and align better with other quality products."
"The product is highly priced compared to other vendors."
"Collibra offers a per-user licensing model."
"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."
"Talking with my manager and others, nobody has complained about the pricing so far which is a positive sign."
"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."
"Denodo provides a lightweight 30-day free trial, but when we do courses on top of it, it costs $150 for each person."
"The licensing should be improved, as the cost per connector is quite expensive."
"The licensing charges for this solution are payable annually."
"I don't know the actual cost, but it's tens of thousands of dollars per month."
"The pricing is pretty good, and I would rate it at four out of five."
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Top Industries

By visitors reading reviews
Financial Services Firm
30%
Computer Software Company
9%
Manufacturing Company
7%
Insurance Company
6%
Financial Services Firm
22%
Computer Software Company
10%
Manufacturing 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?
The pricing for Collibra was good since we did not have many add-ons. However, adding modules like Privacy could become expensive. The value is still greater when considering the cost of customizin...
What needs improvement with Collibra Catalog?
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. This can lead to manual ...
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.
857,028 professionals have used our research since 2012.