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Collibra Platform vs erwin Data Modeler comparison

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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:
 

ROI

Sentiment score
5.1
Collibra Platform enhances efficiency and data governance, offering indirect financial benefits despite cost concerns when features misalign with needs.
Sentiment score
5.2
Erwin Data Modeler streamlines design, enhancing accuracy and efficiency, reducing errors, and offering significant time and cost savings.
When considering the time and effort required to build a catalog and utilize it effectively, combined with the prices, it often does not make financial sense.
Senior Consultant at Infosys
A lot of time gets saved in data search, data discovery, and data analysis, which translates into a good return on investment.
Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees
Implementing Collibra Data Catalog can be cost-effective if its features align well with the business requirements.
Enterprise Cloud and AI Security Architect at a security firm with 10,001+ employees
If three engineers save ten hours each per month using erwin Data Modeler versus manual modeling, that equals three hundred sixty hours saved per year.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
It replaces manual charting in Visio with a structured tool, providing significant return on investment.
Data Architect at a energy/utilities company with 10,001+ employees
If the modeling is compromised, then the entire structure will be compromised.
Senior Data Architect at a computer software company with 1,001-5,000 employees
 

Customer Service

Sentiment score
6.3
Collibra Platform's customer service is praised for responsiveness and expertise, despite occasional delays with complex queries and licensing issues.
Sentiment score
5.6
Erwin Data Modeler's support is praised for responsiveness and expertise but sometimes faces slower responses and regional limitations.
There were weekly sessions with them that covered the loads and highlighted when it exceeded a threshold.
Technical Manager at a recruiting/HR firm with 11-50 employees
They provide quick and high-quality responses.
Master Data Manager at a recruiting/HR firm with 51-200 employees
When using the Collibra Resident Architect program, the customer service was excellent, with issues quickly resolved.
Data and Analytics Manager at a insurance company with 10,001+ employees
The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.
Senior Data Scientist at a consultancy with 10,001+ employees
This rating reflects my ability to effectively utilize the tool and get support for licensing issues, installation errors, or corrupted repositories end-to-end.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
I have had a positive experience with customer support; whenever we reach out to them, they are very responsive and helpful.
Data Specialist at TCS
 

Scalability Issues

Sentiment score
7.0
Collibra Platform is highly scalable, efficiently supports large user bases, and is praised for adaptability and cloud-based architecture.
Sentiment score
6.6
Erwin Data Modeler supports enterprise-level scalability and user satisfaction despite performance challenges with large databases and complex schemas.
We were a big bank and had thousands of assets without any issues.
Data and Analytics Manager at a insurance company with 10,001+ employees
Our organization has more than 10,000 employees without any glitch, without any hang, and without any slowness.
Senior Consultant at Morgan Stanley
It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration.
Master Data Manager at a recruiting/HR firm with 51-200 employees
I would rate it probably a nine, making it a leader in data modeling.
Data Architect at a energy/utilities company with 10,001+ employees
erwin Data Modeler had a very good standardization infrastructure and supported a controlled multi-user environment with check-ins and check-outs.
Data Metrics Engineer at a financial services firm with 10,001+ employees
Performance can degrade during larger collaborations and requires tuning for optimal performance.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
 

Stability Issues

Sentiment score
8.0
Collibra Platform is praised for stability during migrations, though some face issues with upgrades and large data performance.
Sentiment score
6.6
erwin Data Modeler is stable and robust, with performance improvements in newer versions despite occasional connection and memory issues.
The performance and reliability of Collibra Platform is excellent since we use the SaaS cloud offering.
Master Data Manager at a recruiting/HR firm with 51-200 employees
It does not lag, and it can handle large volumes of data in less time.
Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees
Collibra Platform is stable.
Technical Manager at a recruiting/HR firm with 11-50 employees
This lack of an auto-save methodology can be improved so that if a system crash occurs, work can be saved and rework can be avoided.
Data Modeler at Capgemini
New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.
Data Architect at a energy/utilities company with 10,001+ employees
Sometimes when I want to open the attribute editor, it stops working and the whole application freezes.
Senior Data Scientist at a consultancy with 10,001+ employees
 

Room For Improvement

The Collibra Platform requires better user experience, streamlined workflows, enhanced search, automation, integration, personalization, and compliance improvements.
Erwin Data Modeler needs performance boosts, UI updates, version control integration, AI efficiency, cloud support, and user-friendly improvements.
Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.
Analytics Head of Data Management at King Abdullah University of Science and Technology
Integration with tools such as Power BI, Tableau, or notebooks would be great for handling large data processing.
Data Engineer
Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.
Senior IT Consultant at a tech services company with 201-500 employees
The previous version of erwin Data Modeler used to crash unaccountably, but this one hasn't ever crashed on me, so it's been a lot more stable than the previous version that we had.
Data Warehouse Architect at a healthcare company with 10,001+ employees
There is room for improvement in its AI capabilities, such as automatically suggesting normalization or identifying primary, foreign, or surrogate keys to make modeling more efficient.
Data Specialist at TCS
There are many features, and I would expect good documentation detailing each feature, including when and how to use it, to be very useful because data modeling is not very popular in the data area and there aren't many educational videos regarding erwin Data Modeler.
Senior Data Scientist at a consultancy with 10,001+ employees
 

Setup Cost

Collibra Platform is costly, especially for small firms, but its robust features justify the price for larger enterprises.
Erwin Data Modeler's robust features justify its high price, despite license management challenges and potential regional pricing adjustments.
Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.
Company Owner, Data Consultant at Telenet BVBA
There are plans to increase license rates.
Analytics Head of Data Management at King Abdullah University of Science and Technology
Adding modules like Privacy could become expensive.
Data and Analytics Manager at a insurance company with 10,001+ employees
For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
The experience with pricing, setup cost, and licensing is that the licensing process is painful and quite onerous.
Contract Data Architect at a financial services firm with 10,001+ employees
It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.
Data Modeler at Capgemini
 

Valuable Features

Collibra Platform enhances data governance with seamless management, automation, and AI-driven tools to boost productivity and collaboration.
Erwin Data Modeler enhances collaboration, simplifies database management, and streamlines data architecture with intuitive modeling, integration, and analysis.
My experience with Collibra's collaboration tools in improving data literacy has been quite good. I think it is one of the best for helping people understand and discuss certain data sets and manage workflows.
Consulting Principal & Founder at Digital Data Consultancy
We have saved up to 30% of manual work as a specific process or workflow became faster.
Data scientist at a wholesaler/distributor with 1-10 employees
Another important feature is the data lineage, which helps in impact assessment before making any changes, showing where a particular field is being used in a report, data quality report, or normal report.
Senior IT Consultant at a tech services company with 201-500 employees
One of the key aspects of data governance is defining the data dictionary and clearly identifying which data is accessible by whom and what is not accessible, particularly regarding PII-related data.
SPM at Infosys
The way the data is organized and you have a visual of that organization helps a great deal in terms of trying to remember what you did and trying to retrieve the information.
Data Metrics Engineer at a financial services firm with 10,001+ employees
Migrating DDLs using erwin Data Modeler is easy because I just connect to the database and generate the data model from what is already implemented, making the process straightforward.
Data Modeler at FNB Mozambique
 

Categories and Ranking

Collibra Platform
Ranking in Data Governance
1st
Average Rating
8.0
Reviews Sentiment
6.2
Number of Reviews
90
Ranking in other categories
Metadata Management (1st), AI Governance (1st)
erwin Data Modeler
Ranking in Data Governance
10th
Average Rating
8.4
Reviews Sentiment
6.0
Number of Reviews
54
Ranking in other categories
Enterprise Architecture Management (1st), Business Process Design (7th)
 

Mindshare comparison

As of September 2026, in the Data Governance category, the mindshare of Collibra Platform is 8.4%, down from 11.1% compared to the previous year. The mindshare of erwin Data Modeler is 0.5%, up from 0.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Collibra Platform8.4%
erwin Data Modeler0.5%
Other91.1%
Data Governance
 

Featured Reviews

AK
Senior Consultant at Morgan Stanley
Data governance has transformed business glossaries and now drives AI-ready insights
I think it's a great platform. Searching can be made a little better. The data marketplace which it provides is also great, but sometimes when we are searching an element and we know we are not sure if we can find it or if we have missed it. Listing data domains in one place for quick visibility will be an add-on. I am not a hardcore coder. For a coder to create workflows and automate the process, I needed to learn Groovy script and create some workflows. In the automation part, I think it can also introduce a low-code, no-code platform where we can connect different connectors and we can quickly create some automated workflows, if at basic level only, because the next big thing is automation and AI. Low-code, no-code platforms are being used by everyone. I think that will be useful. When I look for a data domain, I'm not able to find it very quickly. For a business owner to know data domains and search data domains, it could be made a little easier. Also, the automation part needs improvement. We are only able to enter the data manually or connect to a data source, but now we want to create some workflows as well. That's why I've chosen a rating of eight. Otherwise, it's really great.
Sushree Panigrahi - PeerSpot reviewer
Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.
Data modeling has transformed regulatory reporting and collaboration across cloud environments
In erwin Data Modeler, areas that have room for improvement include performance improvements. I see that large models sometimes cause it to be slow when opening. Impact analysis can lag as well. Version control is another aspect. If we have developed a current version, it is not integrated with Git where we can easily compare different versions. UI modernization is also something we cannot utilize as it is primarily for development. Additionally, cloud-specific optimizations are needed when it comes to Snowflake or Databricks. When it comes to AI aspects, auto-suggestions for normalization or identifying primary, foreign, or surrogate keys are areas that can be improved.
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Top Industries

By visitors reading reviews
Financial Services Firm
15%
Outsourcing Company
8%
Computer Software Company
8%
Manufacturing Company
8%
Financial Services Firm
14%
Outsourcing Company
9%
Marketing Services Firm
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise14
Large Enterprise65
By reviewers
Company SizeCount
Small Business17
Midsize Enterprise4
Large Enterprise44
 

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?
I have already had discussions with the Collibra Platform team regarding improvements. Having a more intuitive search and better natural language search queries would help business users more. Ther...
What is your primary use case for Collibra Data Intelligence Platform?
I utilize Collibra Platform for data catalog, data marketplace, and data governance-related activities. I have multiple data sources, and I perform extraction of data from those specific data sourc...
What advice do you have for others considering Collibra Data Intelligence Platform?
Collibra Platform is a good choice when selecting a data governance or data cataloging solution. I would recommend starting with a clear business use case and then cataloging everything at once, wh...
What is your experience regarding pricing and costs for erwin Data Modeler by Quest?
The experience with pricing, setup cost, and licensing is that the licensing process is painful and quite onerous. The setup is okay, but there is room for improvement.
What needs improvement with erwin Data Modeler by Quest?
Regarding improvements, the first thing I would mention is that every release has some issues, some of which are related to current functionalities, which means they often seem not very well tested...
What is your primary use case for erwin Data Modeler by Quest?
My main use case for erwin Data Modeler is to implement a single data architecture design department so everyone is using erwin Data Modeler for their data models to be a transactional application ...
 

Also Known As

Data Intelligence Platform, Collibra AI Governance, Collibra Catalog, Collibra Governance, Collibra Lineage, Collibra Privacy & Risk
erwin DM
 

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
 Premera, America Honda Motors, Aetna, Kaiser Permanente, Dental Dental Cali, Cigna, Staples
Find out what your peers are saying about Collibra Platform vs. erwin Data Modeler and other solutions. Updated: September 2026.
914,262 professionals have used our research since 2012.