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Collibra Platform vs SAS Data Management 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:
 

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
5.8
SAS Data Management boosts data accuracy, reduces storage costs, and is vital in banking, finance, and pharmaceutical sectors.
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
 

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
7.1
Customer service satisfaction with SAS Data Management is high, despite regional differences and limited online resources, thanks to responsive support.
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 support for SAS in Brazil is not the best one, but the support in Sweden is really good, as they visit the company and work to solve the issues.
Data Scientist & Scrum Master at Volvo Group
 

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
6.8
SAS Data Management is highly scalable, supporting enterprise tasks with robust servers, comparable to Oracle and Microsoft solutions.
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
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
Collibra Platform is heavily scalable with a completely robust architecture.
Data Governance And Quality Consultant at a consultancy with 1,001-5,000 employees
 

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
7.2
SAS Data Management is highly stable, especially on Linux, but might need client-side configurations for optimal performance.
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
 

Room For Improvement

Collibra Platform needs interface simplification, AI enhancements, better support, pricing, performance, integration, and security improvements.
SAS Data Management needs improved usability, licensing, integration, cloud features, scalability, stability, and enhanced automated reporting and documentation.
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
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
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.
Data Consultant at a comms service provider with 501-1,000 employees
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
Associate Director at Woodpecker Analytics & Services
 

Setup Cost

Collibra's extensive features justify its high pricing, with licensing options, though smaller companies may find costs prohibitive.
SAS Data Management is powerful but costly, with affordability challenges for businesses, though educational trials and market-based pricing options exist.
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
From my experience, SAS Data Management is an expensive tool.
Associate Director at Woodpecker Analytics & Services
 

Valuable Features

Collibra Platform enhances metadata management with governance workflows, AI capabilities, and seamless integration, improving data classification and compliance.
SAS Data Management provides user-friendly, comprehensive data handling with strong integration, quality, governance, and flexible connectivity features.
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
SAS Data Management stands out because of its data standardization, transformation, and verification capabilities.
Associate Director at Woodpecker Analytics & Services
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS.
Data Scientist & Scrum Master at Volvo Group
 

Categories and Ranking

Collibra Platform
Ranking in Data Governance
2nd
Average Rating
7.8
Reviews Sentiment
6.3
Number of Reviews
81
Ranking in other categories
Metadata Management (1st), AI Governance (1st)
SAS Data Management
Ranking in Data Governance
23rd
Average Rating
8.6
Reviews Sentiment
6.6
Number of Reviews
18
Ranking in other categories
Data Integration (28th), Data Quality (7th)
 

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 SAS Data Management is 1.7%, up from 0.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Mindshare Distribution
ProductMindshare (%)
Collibra Platform7.6%
SAS Data Management1.7%
Other90.7%
Data Governance
 

Featured Reviews

SC
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.
FK
Data Scientist & Scrum Master at Volvo Group
Has supported centralized data access and improved governance through unified administration
The best features I appreciate about SAS Data Management tool are that it's easy to create the flows and schedule data, and the tables are not too big, making it easy to control the ETL process, including user access which is also easy to manage in SAS. The data integration tools with SAS Data Management were quite good because they allowed me to do all lineage, to manage and see all the variables, find the libraries where the data is, and understand the data in just one tool. Offering another development environment combining code and predefined objects, where I could just drag and drop to achieve what I needed, although some objects were not too good, but some were effective. The metadata management feature of SAS Data Management helps a lot; creating your data marts or data lake with good naming conventions, library conventions, and so on is very important because it allows easy queries to find the whole structure, though I think metadata governance also depends on first definitions, not only on the tool. SAS Data Management is very good for data governance; for me, it was the best tool I worked with in data management, although I don't have too much experience with others, and it truly helped a lot.
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894,668 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
8%
Manufacturing Company
8%
Insurance Company
6%
Financial Services Firm
20%
Healthcare Company
7%
Government
7%
Manufacturing Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business23
Midsize Enterprise13
Large Enterprise58
By reviewers
Company SizeCount
Small Business8
Midsize Enterprise1
Large Enterprise8
 

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.
What is your experience regarding pricing and costs for SAS Data Management?
From my experience, SAS Data Management is an expensive tool.
What needs improvement with SAS Data Management?
There is significant room for improvement, especially with regard to using a hybrid approach that involves both CAS and persistent storage.
What is your primary use case for SAS Data Management?
The main idea for using SAS Data Management was to bring all data inside SAS. I brought the finance area and the sales area in the company that I have worked, along with some market planning data, ...
 

Also Known As

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

Overview

 

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive
Data Management, 1-800-FLOWERS.COM, Absa, Aegon, Allianz Global Corporate & SpecialtyAusgrid, Bank of Queensland, Bell, BMC Software, Canada Post, Ceska pojistovna, Chantecler, Chubb Group of Insurance Companies, Credit Guarantee Corporation, Cr_dito y Cauci‹n, Delaware State Police, Deutsche Lufthansa, Directorate of Economics and Statistics, DSM, Enerjisa, ERGO Insurance Group, Florida Department of Corrections, Generali Hellas, Gitanjali Group, Gloucestershire Constabulary, GS Home Shopping, HealthPartners, IAG New Zealand, iJET, Invacare, Livzon Pharmaceutical Group, Los Angeles County, Miami Herald Media Company, Netherlands Enterprise Agency, New Zealand Ministry of Health, Nippon Paper, North Carolina Office of Information Technology Services, Orlando Magic, OTP Group, PITT OHIO, Plano Independent School District, RWE Poland, Spanish Air Force, Stockholm County Council, Telus, The Travel Corporation, Transitions Optical, Triad Analytic Solutions, UNIQA, US Census Bureau, US Department of Housing and Urban Development, USDA National Agricultural Statistics Service, West Midlands Police, XS Inc., Zenith Insurance
Find out what your peers are saying about Collibra Platform vs. SAS Data Management and other solutions. Updated: April 2026.
894,668 professionals have used our research since 2012.