We performed a comparison between Collibra Governance and SAP Data Hub based on real PeerSpot user reviews.
Find out in this report how the two Data Governance solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The most valuable feature is the discovery process for the data catalog because we get it in a visual format as a way to understand and classify it."
"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."
"The most important feature in Collibra Governance is the ability to gather data or a collection of data into one repository. If a client creates a repository at his place, then it will get updated to the cloud automatically."
"The solution has good workflows and is based on AIML."
"It's incredibly easy to use."
"The customization and the dashboards are pretty good."
"Collibra Governance's most valuable features are data lineage and stewardships."
"I like Collibra's flexibility. I like to be able to modify things for our own use. For example, we've chosen to use Collibra also as a knowledge management tool, even though it is not designed to be a knowledge management tool. That's the beauty of it. It can serve as a knowledge management tool by creating some custom assets specifically for knowledge management."
"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."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"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."
"There are certain processes that involve a lot of manual work, specifically when searching for attributes assignment. It would be better if we could do this via APIs."
"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."
"There's still room for improvement in Collibra Governance. Right now, the solution focuses more on publishing and subscription where metadata is being consumed from all systems and processes within Collibra Governance. I'd like to see more features around external systems that let those systems start consuming or start referring things from Collibra Governance automatically, in particular, more API-based integrations, so the solution can truly work as an enterprise governance tool at the heart of the organization. There have been many cases where business stakeholders feel, "Okay. I'll be doing a manual activity because every time I have to maintain and make sure that the solution is working, for example, ensuring the reporting works, I have to go to Collibra Governance." I want this step taken out of the equation, and it has to be an automatic conversion or automatic notification that something has changed. Scalability also needs improvement in the solution. If there could be some sort of self-service where people can customize the solution a bit more, that would make Collibra Governance better. What I'd like to see in the next release of the solution is an enhanced search feature because it's what users want to use. You want to search for a term and get all details in one go. Right now, if you type a term in the Collibra Governance global search function, it returns a lot of results that you need to know how to filter and what to filter, so there should be automatic filters that give accurate information to somebody who does a search on the solution. I want Collibra Governance to provide a capability where you can search and get relevant information."
"The connectors are not very sophisticated. They can do, for example, Informatica and Tableau, but the connectors themselves could be improved."
"If someone changes the metadata, we can't see who changed it."
"The interface is not very user-friendly and can be difficult to navigate."
"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."
"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."
Collibra Governance is ranked 1st in Data Governance with 31 reviews while SAP Data Hub is ranked 7th in Data Governance with 2 reviews. Collibra Governance is rated 7.6, while SAP Data Hub is rated 8.0. The top reviewer of Collibra Governance writes "Offers many features for the best relative price". On the other hand, the top reviewer of SAP Data Hub writes "Good push-down approach, on-premise connection, and integration with SAP products, but needs better performance and integration with other solutions". Collibra Governance is most compared with Informatica Axon, Alation Data Catalog, Microsoft Purview, BigID and Splunk User Behavior Analytics, whereas SAP Data Hub is most compared with SAP Data Services, Palantir Foundry, Qlik Replicate, Azure Data Factory and Talend Data Fabric. See our Collibra Governance vs. SAP Data Hub report.
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