Collibra Platform vs SAP Data Hub [EOL] comparison

Why PeerSpot?

Collibra and SAP are both solutions in the Data Governance category. Additionally, 97% of Collibra users are willing to recommend the solution, compared to 66% of SAP users who would recommend it.

Collibra Platform

Read 90 Collibra Platform reviews

19,448 Views
15,753 Comparison Views

97% 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: October 2026).

Buyer's Guide

Data Governance

October 2026

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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

8.0

Reviews Sentiment

6.2

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

Aditi Kamra

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.

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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

"Collibra Catalog allows us to automate metadata management, significantly saving time, effort, and finances."

"I highly recommend this tool to users who want to see the lineage of their data, including technical lineage and business lineage."

"Using lineage and Collibra Catalog has helped me overall improve the trust and transparency regarding data origin and transformation."

"We have folks in the field doing our clinical research operations, and they have the opportunity to refer to Collibra when they are examining a particular report. When they have a question about how something in that report is derived, they can pull a metric that is defined fully in Collibra. They have the opportunity to drill back into Collibra to see that."

"My experience with Collibra has been amazing."

"Except for data quality, everything is perfect."

"The data quality functionality provides cutting-edge, next-level insights when compared to other tools such as Alation and Microsoft Purview."

"The workflows allow the creation of custom workflows based on needs."

More Collibra Platform pros

"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."

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

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

"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."

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

Cons

"Regarding the accuracy and reliability of output for Collibra Platform's AI capabilities, there is room for improvement by expanding the number of use cases."

"Collibra Platform could be improved as it is somewhat too flexible, allowing for so much customization that it becomes very complex without sufficient controls in place."

"One of the very key drawbacks is that automation for access provisioning is not available. If I discover a data set or data product in the marketplace and want to access the data, this feature doesn't exist at all."

"It would be better if features like the privacy module and AI-based Collibra DQ were included in one package instead of being separate and requiring additional costs. Currently, the basic package covers lineage and documentation, but the extra modules come at an extra cost."

"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."

"Data discovery needs to be improved."

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

"Where it isn't great is on older technologies that you'll typically find in finance or insurance industries, such as older types of data with VSAM or ISAM, or those types of older technologies. It just doesn't connect with them very easily."

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."

"The company has everything offshore."

"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."

Pricing and Cost Advice

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

"Collibra Governance is an expensive solution."

"The solution's pricing is moderate and not very expensive."

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

"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."

"Collibra is a bit expensive."

"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."

"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."

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

13%

Outsourcing Company

Computer Software Company

Manufacturing Company

Outsourcing Company

15%

Manufacturing Company

14%

Financial Services Firm

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	24
Midsize Enterprise	14
Large Enterprise	65

No data available

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...

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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...

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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...

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Comparisons

Microsoft Purview Data Governance vs Collibra Platform

Compared 17% of the time

Quest Data Intelligence vs Collibra Platform

Compared 5% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Collibra Platform

Compared 5% of the time

Alation Data Catalog vs Collibra Platform

Compared 3% of the time

IBM Data Governance vs Collibra Platform

Compared 2% of the time

More Collibra Platform Competitors

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

Compared 9% of the time

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

Compared 6% of the time

SSIS vs SAP Data Hub [EOL]

Compared 5% of the time

WhereScape RED vs SAP Data Hub [EOL]

Compared 4% of the time

Quest Data Intelligence vs SAP Data Hub [EOL]

Compared 4% of the time

More SAP Data Hub [EOL] Competitors

Product Reports

Buyer's Guide

Collibra Platform

October 2026

Download Collibra Platform product report

Buyer's Guide

Data Governance

October 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 Collibra, Microsoft, Informatica and others in Data Governance. Updated: October 2026.

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