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Collibra Platform vs Segment comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Mar 15, 2026

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 Platform
Ranking in Data Governance
2nd
Average Rating
7.8
Reviews Sentiment
6.3
Number of Reviews
74
Ranking in other categories
Metadata Management (1st), AI Governance (1st)
Segment
Ranking in Data Governance
48th
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
4
Ranking in other categories
Web Analytics (11th), Customer Data Platforms (CDP) (1st)
 

Mindshare comparison

As of March 2026, in the Data Governance category, the mindshare of Collibra Platform is 8.6%, down from 13.8% compared to the previous year. The mindshare of Segment is 0.6%, up from 0.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Collibra Platform8.6%
Segment0.6%
Other90.8%
Data Governance
 

Featured Reviews

reviewer2696502 - PeerSpot reviewer
Data and Analytics Manager at a insurance company with 10,001+ employees
It enables data governance with customizable workflows and effective customer support
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 efforts to connect more databases, increasing costs. It would be beneficial if they offered more connectors as part of the initial package.
reviewer2808258 - PeerSpot reviewer
Web and marketing automation specialist at a logistics company with 5,001-10,000 employees
Centralized customer data has powered predictive audiences and proactive marketing campaigns
The best features Segment offers are the audience building features. We've also launched predictive audiences, which is so far really promising for us and marketing has a lot of ideas for activating these types of audiences. We're going from using historical data to using current data to get more predictive with how we're activating. In my experience, the audience building tools compared to other solutions I've seen or used are really sophisticated. I've used other CRMs in the past for this, and I would say the type of data you're not getting as much of is what you do when you're activating or creating the audiences within the CDP. I think predictive audiences require a 360 view of the customer in order to create these types of AI audiences because they use a lot of different data points. How it's helping the team is by giving us more ways to reach our customers and being more proactive in the type of campaigns that marketing can launch. They have a lot of good ideas and some good things in the pipeline.

Quotes from Members

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

Pros

"The data quality module has improved significantly, and the data lineage feature is beneficial for understanding where data is coming from and identifying data duplications."
"The most valuable features of Collibra are the workflows and the data lineage capabilities."
"The automation process is very strong."
"I find the metadata feature valuable because it replaces the coding."
"The solution has very good online assistance."
"It's a user-friendly tool, even for non-technical people."
"The beauty of the solution is that you can customize it quite a bit."
"As far as the functionality of the tool is concerned, it's pretty slick."
"Customer support is fantastic."
"I like the straightforward way of connecting with various data sources and destinations. That's the most valuable feature. It has built-in integrations for a lot of them, so the overall effort required for integrations is relatively low."
"Segment's scalability is amazing, and it's fully capable of handling all of the different use cases that we have in our company and we have a very complicated company."
 

Cons

"I have seen many customers moving away from Collibra Lineage after using it for a couple of years because the cost-benefit analysis does not give them a favorable report."
"There is room for improvement in the Collibra Data Catalog regarding data classification and categorization. It struggles to catalog all categories of data, particularly sensitive data on-prem, which GCP Data Catalog handles better."
"If a developer implements ETL in Glue or PySpark, Collibra cannot capture lineage out of that."
"The licensing is one area that could get improved."
"Occasionally we get little bugs that occur, however, this is typical."
"Collibra Lineage could improve connectively. If they can offer more out-of-the-box connectors, which come as in a package compared to you having to go and buy a lot in the marketplace for certain specific connectors."
"It would be better if there was a way to import all data and metadata in an automatic way in one block form."
"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."
"The challenge is the lack of flexibility in the SDKs, given the capabilities of the destinations."
"I chose a rating of eight out of ten because these video tutorials would really illustrate how to use the tool to its full potential, and perhaps some more hands-on support from the Segment team would push it to a ten."
"The only challenge was the session functionality."
 

Pricing and Cost Advice

"Collibra is a bit expensive."
"I think it is on a yearly basis, but I'm not involved with the pricing session, so I have no idea. There are several licenses for different models. You get one license per product, but a lot of features are controlled separately through different licenses. So, as and when you want to use a feature, you have to procure the license for that feature."
"Collibra Governance is extremely expensive"
"I would say it's probably in line with what other vendors charge for licensing."
"The product is highly priced compared to other vendors."
"I rate the pricing a three on a scale of one to ten, where one is expensive, and ten is cheap."
"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."
"The solution's pricing is moderate and not very expensive."
"The pricing was on the higher side but it wasn't excessively high."
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
9%
Insurance Company
6%
Computer Software Company
10%
University
8%
Financial Services Firm
8%
Comms Service Provider
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise9
Large Enterprise55
No data available
 

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?
A separate team did the setup for this tool and was involved in setting it up. When they were doing the setup, it was a significant upfront investment in terms of the configuration, modeling, and g...
What is your primary use case for Collibra Data Intelligence Platform?
I am a user who has worked at companies that use Collibra Platform as their data catalog and data intelligence platform tool. My first company, MetLife, used Collibra Platform, but I wouldn't know ...
What advice do you have for others considering Collibra Data Intelligence Platform?
My advice to others looking into using Collibra Platform is to use it in cloud because that is the best solution. I give this review a rating of 10 out of 10.
Ask a question
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Also Known As

Data Intelligence Platform, Collibra AI Governance, Collibra Catalog, Collibra Governance, Collibra Lineage, Collibra Privacy & Risk
Segment.io
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Nokia, rdio, Bonobos, LiveNation, Atlassian
Find out what your peers are saying about Collibra Platform vs. Segment and other solutions. Updated: March 2026.
884,797 professionals have used our research since 2012.