Collibra Platform vs erwin Data Modeler comparison

Collibra and Quest Software are both solutions in the Data Governance category. Collibra is ranked #2 with an average rating of 8.2, while Quest Software is ranked #10 with an average rating of 8.2. Collibra holds a 7.6% mindshare in DG, compared to Quest Software’s 0.4% mindshare. Additionally, 96% of Collibra users are willing to recommend the solution, compared to 96% of Quest Software users who would recommend it.

Collibra Platform

Read 81 Collibra Platform reviews

12,515 Views
9,887 Comparison Views

96% willing to recommend

erwin Data Modeler

Read 50 erwin Data Modeler reviews

7,115 Views
356 Comparison Views

96% willing to recommend

Collibra Platform

erwin Data Modeler

Comparison Buyer's Guide

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Executive SummaryUpdated on Mar 15, 2026

Erwin Data Modeler and Collibra Platform are major players in data management, with Erwin leading in data modeling and Collibra excelling in data governance. Erwin appears to have the upper hand in modeling efficiency, while Collibra leads in data governance and customization.

Features: Erwin Data Modeler offers robust visual data environments, complex transformation automation, and data integration that enhance user understanding. It also provides excellent visualization for collaboration and synchronization capabilities to keep data models up to date. Collibra Platform features strong data governance capabilities, extensive cataloging, metadata management, and customizable workflows that ensure data consistency and quality.

Room for Improvement: Erwin could improve its reporting capabilities, integration with data intelligence, and user-friendliness, especially in navigation and native interface operations. Users of Collibra suggest enhancements in connectivity with various data sources, a more intuitive interface, and reduced complexity and cost for smaller organizations.

Ease of Deployment and Customer Service: Erwin focuses on on-premises deployment with satisfactory support, though users desire better response times and legacy database integration support. Collibra is flexible with on-premises, cloud, and hybrid deployments, offering responsive support despite challenges in setup due to complex configurations.

Pricing and ROI: Erwin is considered expensive but justifiable due to its feature set that saves development time and provides consistency, with appreciated yet costly licensing options. Collibra is similarly viewed as a premium product, offering high value through operational efficiency and compliance but posing budget challenges for smaller companies.

To learn more, read our detailed Collibra Platform vs. erwin Data Modeler Report (Updated: April 2026).

Buyer's Guide

Collibra Platform vs. erwin Data Modeler

April 2026

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Helped 893,311 peers since 2012

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

5.4

Collibra boosts efficiency and data governance, reduces manpower, and aids cloud migration, but pricing and value assessment pose challenges.

Sentiment score

3.8

Erwin Data Modeler enhances productivity, standardization, and efficiency, providing significant enterprise data management benefits despite ROI measurement challenges.

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.

Mitwa Mathur

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.

Souvik Choudhury

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.

Atul-Yadav

Enterprise Cloud and AI Security Architect at a security firm with 10,001+ employees

For more quotes and insights, download the Collibra Platform report

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.

Sushree Panigrahi

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.

Anthony Woods

Data Architect at a energy/utilities company with 10,001+ employees

If the modeling is compromised, then the entire structure will be compromised.

reviewer2795649

Senior Data Architect at a computer software company with 1,001-5,000 employees

For more quotes and insights, download the erwin Data Modeler report

Customer Service

Sentiment score

6.2

Collibra's customer support is appreciated for responsiveness and expertise, but some suggest improvements in response times and documentation.

Sentiment score

5.4

Erwin Data Modeler's support is skilled and helpful, though response times can improve for complex issues.

There were weekly sessions with them that covered the loads and highlighted when it exceeded a threshold.

reviewer2835714

Technical Manager at a recruiting/HR firm with 11-50 employees

They provide quick and high-quality responses.

reviewer2836044

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.

reviewer2696502

Data and Analytics Manager at a insurance company with 10,001+ employees

For more quotes and insights, download the Collibra Platform report

The quality and speed of their support are excellent; everyone is very helpful, and they can solve problems quickly.

Yang Jiao

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.

Sushree Panigrahi

Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.

Quest is committed to keeping the product robust.

Anthony Woods

Data Architect at a energy/utilities company with 10,001+ employees

For more quotes and insights, download the erwin Data Modeler report

Scalability Issues

Sentiment score

7.4

Collibra Platform is highly rated for scalability and flexibility, though some users suggest improvements in integration and customization.

Sentiment score

6.7

erwin Data Modeler excels in scalability and adaptability, supporting large models and multi-user collaborations despite occasional performance slowdowns.

We were a big bank and had thousands of assets without any issues.

reviewer2696502

Data and Analytics Manager at a insurance company with 10,001+ employees

It can handle growth in users, assets, metadata, and integrations, but it requires good governance and administration.

reviewer2836044

Master Data Manager at a recruiting/HR firm with 51-200 employees

Collibra Platform is heavily scalable with a completely robust architecture.

Souvik Choudhury

Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees

For more quotes and insights, download the Collibra Platform report

I would rate it probably a nine, making it a leader in data modeling.

Anthony Woods

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.

Monisha Sharma

Data Metrics Engineer at a financial services firm with 10,001+ employees

Performance can degrade during larger collaborations and requires tuning for optimal performance.

Sushree Panigrahi

Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.

For more quotes and insights, download the erwin Data Modeler report

Stability Issues

Sentiment score

7.9

Collibra Platform is stable and reliable, with improved cloud performance, but can be costly with large data sizes.

Sentiment score

6.4

Erwin Data Modeler is stable and reliable, though large models and updates can occasionally impact performance.

The performance and reliability of Collibra Platform is excellent since we use the SaaS cloud offering.

reviewer2836044

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.

Souvik Choudhury

Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees

Collibra Platform is stable.

reviewer2835714

Technical Manager at a recruiting/HR firm with 11-50 employees

For more quotes and insights, download the Collibra Platform report

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.

Khadarvalli Phatan

Data Modeler at Capgemini

New versions often introduce enhanced features but may cause model crashes due to memory exhaustion.

Anthony Woods

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.

Yang Jiao

Senior Data Scientist at a consultancy with 10,001+ employees

For more quotes and insights, download the erwin Data Modeler report

Room For Improvement

Collibra Platform needs interface simplification, AI enhancements, better support, pricing, performance, integration, and security improvements.

Erwin Data Modeler needs an updated interface, improved compatibility, better performance, enhanced collaboration, and cloud functionality.

Users often find it challenging to utilize data governance tools, with ease of use ranked as an important criterion by 2028 standards.

Ayman Bajnaid

Analytics Head of Data Management at King Abdullah University of Science and Technology

Leveraging AI could simplify the process by automatically listing assets for movement, requiring only a couple of clicks, providing a win for administration purposes.

reviewer2835627

Senior IT Consultant at a tech services company with 201-500 employees

Collibra Platform could be improved, particularly the AI platform, which at the end of the day needs to be very tailored and very specific to my cases.

reviewer2837757

Data Consultant at a comms service provider with 501-1,000 employees

For more quotes and insights, download the Collibra Platform report

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.

Alton Thibodeaux

Data Warehouse Architect at a healthcare company with 10,001+ employees

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.

Yang Jiao

Senior Data Scientist at a consultancy with 10,001+ employees

Erwin Data Modeler could improve in areas such as the interface, as there are features like copy and paste, creating duplicates, and the visualization elements and toolbars which feel quite old.

Khadarvalli Phatan

Data Modeler at Capgemini

For more quotes and insights, download the erwin Data Modeler report

Setup Cost

Collibra's extensive features justify its high pricing, with licensing options, though smaller companies may find costs prohibitive.

erwin Data Modeler is pricey at $6,000 monthly per seat, with varied user opinions on the value compared to alternatives.

Collibra has high initial costs for licensing that can be a barrier to small and medium-sized companies starting with it.

Davy Michiels

Company Owner, Data Consultant at Telenet BVBA

There are plans to increase license rates.

Ayman Bajnaid

Analytics Head of Data Management at King Abdullah University of Science and Technology

Adding modules like Privacy could become expensive.

reviewer2696502

Data and Analytics Manager at a insurance company with 10,001+ employees

For more quotes and insights, download the Collibra Platform report

For a cloud or SaaS standard edition, it typically runs around two hundred to two hundred ninety-nine US dollars per month.

Sushree Panigrahi

Snowflake Data Engineer| Senior PLSQL Developer |Data Modeler|Assitant Vice Pre at Jp Morgan Chase & Co.

It is more targeted toward an enterprise level since organizations looking to store business information and relationship values may consider the pricing.

Khadarvalli Phatan

Data Modeler at Capgemini

For more quotes and insights, download the erwin Data Modeler report

Valuable Features

Collibra Platform enhances metadata management with governance workflows, AI capabilities, and seamless integration, improving data classification and compliance.

Erwin Data Modeler enhances data understanding and integration with visual tools, collaboration, and support for diverse databases.

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.

Saikat Ghosh

Consulting Principal & Founder at Digital Data Consultancy

We have saved up to 30% of manual work as a specific process or workflow became faster.

reviewer2784924

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.

reviewer2835627

Senior IT Consultant at a tech services company with 201-500 employees

For more quotes and insights, download the Collibra Platform report

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.

Asish Sahu

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.

Monisha Sharma

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.

Celso Adamo

Data Modeler at FNB Mozambique

For more quotes and insights, download the erwin Data Modeler report

Categories and Ranking

Collibra Platform

Ranking in Data Governance

2nd

Average Rating

7.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Metadata Management (1st), AI Governance (1st)

erwin Data Modeler

Ranking in Data Governance

10th

Average Rating

8.4

Reviews Sentiment

5.7

Number of Reviews

Ranking in other categories

Enterprise Architecture Management (1st), Business Process Design (5th)

Mindshare comparison

As of May 2026, in the Data Governance category, the mindshare of Collibra Platform is 7.6%, down from 13.0% compared to the previous year. The mindshare of erwin Data Modeler is 0.4%. It is calculated based on PeerSpot user engagement data.

Data Governance Mindshare Distribution
Product	Mindshare (%)
Collibra Platform	7.6%
erwin Data Modeler	0.4%
Other	92.0%

Data Governance

Featured Reviews

Souvik Choudhury

Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees

Unified data governance has reduced manual effort and accelerates trusted AI model oversight

Improvement with respect to adding more connectors is one thing I feel which needs to be looked at. Right now, Collibra Platform provides many connectors and native connections, out-of-the-box connectors, but the technology landscape is overgrowing, and several new enterprise tools are coming in the market. The number of connectors can be increased. Secondly, to use Collibra Platform APIs, you need to always have a JSON Web Token or admin access, so that process can be improvised. Third, Collibra Platform can try and test how to make the work faster with more and more agents. Capturing the lineage becomes a little cumbersome in Collibra Platform when the technology landscape is a combination of multiple tools, so that is one thing which can be simplified. I have already added the integration with other tools, so that is one area which needs to be improvised and there is scope for improvement. Another thing is bringing in more agents to agentify things and making work faster.

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Sushree Panigrahi

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

18%

Computer Software Company

Manufacturing Company

Insurance Company

Financial Services Firm

15%

Manufacturing Company

Government

Performing Arts

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	23
Midsize Enterprise	13
Large Enterprise	58

By reviewers
Company Size	Count
Small Business	16
Midsize Enterprise	3
Large Enterprise	38

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...

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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 ...

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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.

See all answers

What is your experience regarding pricing and costs for erwin Data Modeler by Quest?

I have no idea about the setup cost because I did not buy the license.

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What needs improvement with erwin Data Modeler by Quest?

The UI in erwin Data Modeler can be improved significantly because when any new person opens the tool, all the toolbars are kept open with many tools in view, making it appear chunky. If possible, ...

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What is your primary use case for erwin Data Modeler by Quest?

I primarly use erwin Data Modeler for modeling purposes. Once we have the business requirement, we create the models in erwin Data Modeler, and then we perform forward engineering to get the query ...

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Comparisons

Microsoft Purview Data Governance vs Collibra Platform

Compared 9% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Collibra Platform

Compared 7% of the time

Alation Data Catalog vs Collibra Platform

Compared 6% of the time

erwin Data Intelligence vs Collibra Platform

Compared 4% of the time

Palantir Foundry vs Collibra Platform

Compared 3% of the time

More Collibra Platform Competitors

SAP PowerDesigner vs erwin Data Modeler

Compared 36% of the time

IDERA ER/Studio vs erwin Data Modeler

Compared 6% of the time

Sparx Systems Enterprise Architect vs erwin Data Modeler

Compared 5% of the time

Visio vs erwin Data Modeler

Compared 5% of the time

Lucidchart vs erwin Data Modeler

Compared 4% of the time

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Product Reports

Buyer's Guide

Collibra Platform

May 2026

Download Collibra Platform product report

Buyer's Guide

erwin Data Modeler

May 2026

Download erwin Data Modeler product report

Also Known As

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

erwin DM

Overview

Collibra Platform is preferred for workflows, data lineage, and a user-friendly interface. It enhances metadata management with robust collaboration, flexible customization, and powerful reporting, aiding organizations in effective data management.

Collibra Platform provides dependable solutions for metadata management, data lineage, and governance. It strengthens data governance with cataloging, glossaries, automation, and integration, supporting compliance and data quality management. Despite challenges with integration and metadata ingestion, the platform is vital for data governance programs, offering comprehensive AI capabilities and streamlined processes for enterprise data management.

What are Collibra Platform's key features?

Workflows: Enhances process efficiency with customizable workflows.
Data Lineage: Tracks data movement across systems for accountability.
User-friendly Interface: Simplifies interaction with intuitive design.
Metadata Management: Manages and organizes metadata for better insights.
Collaboration Features: Fosters teamwork with integrated tools.
Cataloging and Glossary: Improves governance and traceability.

What benefits should be sought in reviews?

Improved Business Processes: Drives efficiency with automation and customization.
Enhanced Data Governance: Facilitates compliance with comprehensive traceability tools.
Robust Integration: Ensures seamless data flow across various systems.
Advanced Reporting: Provides insights for data-driven decisions.

In industries, Collibra Platform supports IT teams through metadata management and data quality assurance. It is widely used for compliance initiatives like GDPR, speeding up digital transformation and enforcing policy management. Organizations employ it to consolidate business and technical metadata, ensuring effective enterprise-scale data management in diverse sectors.

Collibra

Erwin Data Modeler provides an effective approach to visualizing and managing data models. It assists in creating, reversing, and synchronizing data models with ease, supporting logical and physical transitions while enhancing understanding across teams.

Erwin Data Modeler is a comprehensive tool designed for professional database management. It offers capabilities to organize and enforce standards, automating script generation with robust reverse engineering and DDL output. Users can manage complex data environments, capitalize on integration with data intelligence, and maintain large-scale databases smoothly. Despite its strengths, improvements in multi-language support, database integration, and reporting features are needed. Users benefit from extensive support for conceptual, logical, and physical database modeling, enhancing architectural design and data governance for platforms like SQL Server, Oracle, and Teradata.

What are the key features of Erwin Data Modeler?

Visual Representation: Facilitates clear visualization of data models, aiding comprehension.
Versioning and Editing: Enhance usability with versioning and bulk editing capabilities.
Reverse Engineering: Offers powerful tools for reverse engineering and DDL generation.
Integration: Aligns with data intelligence to streamline database management.
Naming Standards: Enforces consistency with automated script creation.

What benefits should users consider in Erwin Data Modeler reviews?

Collaboration: Promotes team understanding and collaboration through visual tools.
Automation: Reduces manual effort through automated processes and integration.
Scalability: Handles large database management efficiently, crucial for enterprise settings.
Data Governance: Facilitates effective data governance with structured modeling.

Erwin Data Modeler finds application in industries focused on robust data management, implementing it for enterprise data warehouses, business domain models, and operational systems. It supports architectural design and governance, aligning with business applications demanding precise data representation and visualization.

Quest Software

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

Buyer's Guide

Collibra Platform vs. erwin Data Modeler

April 2026

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