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 87 Collibra Platform reviews

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11,283 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: May 2026).

Buyer's Guide

Data Governance

May 2026

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Helped 899,125 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

Average Rating

7.8

Reviews Sentiment

6.3

Number of Reviews

Ranking in other categories

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

SAP Data Hub [EOL]

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

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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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

"Provides a good view of the data and how it's being utilized, as well as calibration quality."

"While Collibra is hands-down the best data governance collaboration platform, clients should review the different options to ingest metadata based on the targeted source systems."

"The beauty of the solution is that you can customize it quite a bit."

"Implementing Collibra Governance is definitely something that all organizations having data need, especially for large enterprises where data is distributed across multiple data stacks, bringing rigor for both data management and data engineering."

"The ability to collaborate and approve business terms for the business glossary data dictionary is excellent."

"We use the solution's Data Stewardship part."

"The most valuable features of Collibra Governance are that it is user-friendly and easy to use."

"The best features of Collibra Lineage include its ability to map data flows and provide clear visualizations."

More Collibra Platform pros

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

"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."

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

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

"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."

Cons

"The UI is good if you happen to be an administrator and are familiar with the technical side of the administration. If you're a business user, the UI is not good. It is hard to learn. It is hard for those who are administering it to teach to end-users and it can take hours of training to do it. Because it is difficult and non-intuitive, business users resist using it. It is a battle to get them on board and to keep them engaged because of the UI."

"It should have more integrations with things like CyberArk because its main purpose is GDPR implementation. We have to have more scope for things that implement more privacy. CyberArk makes sure your credentials are vaulted and your things are secure when you're creating your integrations or connecting to an application. I do believe that they are working on this feature."

"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. It doesn't support all the ETL tools for extracting the transformation logic. It supports some of the tools, but there are still some tools that need to be supported. There is also a small pain point in terms of integration. There is a little bit of change in their strategy from Collibra's end. Earlier, they used to offer two solutions. One was out of the box, and one was a custom-built solution for which they used to provide a dual connector. Now the focus from the Collibra side is more on using the out of the box connector. They are discouraging doing the custom integration. That leaves us with two problems. The first problem is that the out-of-the-box connecter is not yet enabled for a lot of systems, and the second problem is that the out-of-the-box connecter has certain limitations. If we want to tweak those as per our needs, it is not possible. However, the custom-built is still supported, and you can still build a custom integration by using the API, but it is not very encouraged by Collibra. Its dashboard also needs to be improved. There are options to use the HTML code to customize your dashboard, but it has a lot of limitations."

"The connectors for metadata ingestion need to be improved."

"I experience occasional downtime, bugs, and some glitches."

"Collibra Platform can be improved in simpler relationship management because some people feel Collibra Platform is complex for non-business users."

"The solution's data lineage is a little difficult and will not support all the source systems on the database."

"If the price is a bit reduced, that would be better."

More Collibra Platform cons

"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."

"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."

"The company has everything offshore."

Pricing and Cost Advice

"Collibra offers a per-user licensing model."

"Collibra Governance is extremely expensive"

"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."

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

"There are different licenses available for Collibra Lineage based on what kind of access you want. If you want, for example, a read-only license they have different ones to pick from."

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

"I think they have a trust issue. I did not like the way they recently went through the process. They were like, "Finish this SOW first, only then will we sign the other SOW." Or, "Finish this code." I didn't like that much."

"There are different levels of licenses. For example, some users can only do read-only licenses, and others have the stewardship license where they can give access to 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

17%

Computer Software Company

10%

Manufacturing Company

Insurance Company

Manufacturing Company

17%

Financial Services Firm

12%

Construction Company

Computer Software Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	24
Midsize Enterprise	14
Large Enterprise	61

No data available

Questions from the Community

What needs improvement with Collibra Data Intelligence Platform?

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What is your primary use case for Collibra Data Intelligence Platform?

In my current field, I have been there for nearly five or six years, mostly related to data governance, data quality, master data management, and all the associated things. I have been using Collib...

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What advice do you have for others considering Collibra Data Intelligence Platform?

Collibra Platform is a very good business metadata management tool, and if you want a unified portal wherein you can place everything at one place and look at every data in a one-stop shop, just as...

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Comparisons

Microsoft Purview Data Governance vs Collibra Platform

Compared 16% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Collibra Platform

Compared 6% of the time

Alation Data Catalog vs Collibra Platform

Compared 5% of the time

erwin Data Intelligence vs Collibra Platform

Compared 4% of the time

Palantir Foundry vs Collibra Platform

Compared 2% of the time

More Collibra Platform Competitors

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

Compared 11% of the time

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

Compared 9% of the time

SAS Data Management vs SAP Data Hub [EOL]

Compared 6% of the time

Microsoft Purview Data Governance vs SAP Data Hub [EOL]

Compared 6% of the time

Palantir Foundry vs SAP Data Hub [EOL]

Compared 5% of the time

More SAP Data Hub [EOL] Competitors

Product Reports

Buyer's Guide

Collibra Platform

June 2026

Download Collibra Platform product report

Buyer's Guide

Data Governance

May 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

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