Collibra Platform vs SAP Data Hub [EOL] comparison

Collibra and SAP are both solutions in the Data Governance category. Additionally, 96% of Collibra users are willing to recommend the solution, compared to 66% of SAP users who would recommend it.

Collibra Platform

Read 74 Collibra Platform reviews

11,344 Views
9,075 Comparison Views

96% willing to recommend

SAP Data Hub [EOL]

Read 3 SAP Data Hub [EOL] reviews

66% willing to recommend

Collibra Platform

SAP Data Hub [EOL]

Comparison Buyer's Guide

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Executive SummaryUpdated on Apr 15, 2026

SAP Data Hub EOL and Collibra Platform are competing in the data management solutions category. Collibra Platform appears to have the upper hand due to its comprehensive feature set, which users find worth the investment.

Features:SAP Data Hub EOL provides effective data pipeline management, integration with existing SAP ecosystems, and scalability in diverse environments. Collibra Platform offers advanced data governance tools, metadata management, and strong compliance features, emphasizing its focus on governance and compliance.

Ease of Deployment and Customer Service:Collibra Platform is deployed in a straightforward, cloud-based manner, supported by extensive resources and training for quick implementation. SAP Data Hub EOL required a more complex setup, especially in hybrid environments, with good support but more demanding processes.

Pricing and ROI:SAP Data Hub EOL involved a substantial initial investment while providing long-term scalability that could result in significant savings. Collibra Platform's pricing is seen as cost-effective for its feature set, with users noting satisfactory ROI due to improved data governance efficiency.

To learn more, read our detailed Data Governance Report (Updated: April 2026).

Buyer's Guide

Data Governance

April 2026

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Helped 889,855 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:

Categories and Ranking

Collibra Platform

Ranking in Metadata Management

1st

Average Rating

7.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

Data Governance (2nd), AI Governance (1st)

SAP Data Hub [EOL]

Ranking in Metadata Management

16th

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Mitwa Mathur

Senior Consultant at Infosys

User features offer accessibility but documentation and technical support require enhancement

The configuration issues I face include troubleshooting that is not very helpful. I keep struggling with that and usually have to go to the Citizen data platform and the marketplace to get the answers I am looking for. The controlled logs and documentation need improvement, particularly regarding how to access class features that they do not control, and documentation in terms of customization and UI customization. Dashboarding needs significant improvement as the widgets are not very clear or usable, and there is not much documentation around it. To make Collibra Lineage better, additional features should be added to help technical users. They have improved significantly in terms of university courses in the last five years, but aspects such as AI governance and data notebook are not being promoted adequately. Data notebook is a very good feature, but there is a mismatch in the courses' speed and how quickly they are giving people the ability to learn about it.

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Vijaya Macherla

GTM Lead at Capgemini

The solution is seamless, but the database sometimes leads to confusion

We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.

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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 catalog feature is definitely valuable because it makes ingesting the metadata of any application quite simple."

"The solution's technical support is helpful and responsive."

"We have found that Collibra Catalog is very easy to use."

"We have had no complaints about the stability."

"They've really helped us do things easier, faster, and better."

"It's incredibly easy to use."

"The end-to-end solution itself is great. The most valuable is the workload feature that Collibra offers. There is a vast amount of flexibility in terms of how much we can customize. It gives us a lot of options to implement for a lot of purposes."

More Collibra Platform pros

"The most valuable feature is the S/4HANA 1909 On-Premise"

"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."

"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."

"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."

"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."

Cons

"The breadth of available connectors for metadata ingestion need to grow quickly to support customers as they expand their data governance programs to include a diverse list of source systems from which they want to derive business value."

"Collibra gives a lot of facilities in the cloud, but achieving those facilities on-prem becomes a big challenge"

"Every time you change or publish a new questionnaire for certification, you have to basically go into the code and update the new version of the questionnaire."

"The Collibra interface is not very user-friendly because it has a lot of features that business users find difficult to navigate."

"One problem is the data lineage, especially extracting the ETL transformation from different ETL tools and identifying how the data is getting changed from one layer to different layers and how the transformation is applied."

"Pricing policy of the product is an area with certain shortcomings that needs improvement."

"There's a lot of things available in their Data Intelligence Cloud that are not available on-premise."

"This solution could be improved with the addition of process diagrams to help the many users of the platform understand all the fields."

More Collibra Platform cons

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

"Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this."

"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."

"The company has everything offshore."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

Pricing and Cost Advice

"Collibra Catalog is fairly priced - I would rate their pricing seven out of ten."

"Many of our customers I spoke to felt that the solution is a bit highly-priced."

"I think they can bring a few more features and align better with other quality products."

"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."

"I am not so much aware of price details. Initially, there was an add-on NuSoft license to use the DVC connector that NuSoft gives to create integrations, but Collibra is now phasing out of it slowly. Collibra is cutting ties with them is what we have been led to believe, and we have started developing on Spring Boot, which is open source."

"Collibra Governance is extremely expensive"

"It is substantial, and we do pay yearly."

"We purchase its annual license. There is an extra cost for additional users."

More Collibra Platform pricing and cost advice

"The Cloud is very expensive, but SAP HANA previous service is okay."

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Top Industries

By visitors reading reviews

Financial Services Firm

18%

Manufacturing Company

Computer Software Company

Insurance Company

Manufacturing Company

17%

Financial Services Firm

13%

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	9
Large Enterprise	55

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...

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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.

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Comparisons

Microsoft Purview Data Governance vs Collibra Platform

Compared 10% 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 3% of the time

Palantir Foundry vs Collibra Platform

Compared 3% of the time

More Collibra Platform Competitors

Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Hub [EOL]

Compared 13% of the time

Microsoft Purview Data Governance vs SAP Data Hub [EOL]

Compared 8% of the time

Oracle Data Integrator (ODI) vs SAP Data Hub [EOL]

Compared 8% of the time

Palantir Foundry vs SAP Data Hub [EOL]

Compared 7% of the time

SAS Data Management vs SAP Data Hub [EOL]

Compared 6% of the time

More SAP Data Hub [EOL] Competitors

Product Reports

Buyer's Guide

Collibra Platform

April 2026

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Buyer's Guide

Data Governance

April 2026

Download SAP Data Hub [EOL] product report

Also Known As

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

No data available

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

The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.

SAP

Sample Customers

AXA XL, DNB, Adobe, PMI, Holland America Line, UC Davis Health, Cox Automotive

Kaeser Kompressoren, HARTMANN

Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance. Updated: April 2026.

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