We performed a comparison between Collibra Governance and SAP Data Hub based on real PeerSpot user reviews.
Find out what your peers are saying about Microsoft, Collibra, Informatica and others in Data Governance."The workflow is very good and has been embedded. It also has a great user interface."
"The most valuable features of Collibra are the workflows and the data lineage capabilities."
"There is a good community setup around the solution that can provide insights."
"It is user-friendly."
"Collibra Governance's most valuable features are data lineage and stewardships."
"It's incredibly easy to use."
"The feature I like most in Collibra Governance is the lineage. It lets me do lineage that you can set up, for example, technical lineage and business lineage. The solution lets me associate the right people with the right assets, so anybody who has to look at end-to-end instances can use Collibra Governance and figure it out, in terms of who to contact, what to do, and where to find what you need."
"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."
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"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."
"There are a lot of gaps in Collibra's support and documentation."
"When we are doing discovery for unstructured data sources, I would suggest a quality report of the data that would indicate what was unable to process."
"The connectors are not very sophisticated. They can do, for example, Informatica and Tableau, but the connectors themselves could be improved."
"Collibra gives a lot of facilities in the cloud, but achieving those facilities on-prem becomes a big challenge"
"The workflows and the language they use needs to be improved."
"Pricing policy of the product is an area with certain shortcomings that needs improvement."
"The solution's metadata management is pretty novice and could be improved."
"Data discovery needs to be improved."
"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."
Collibra Governance is ranked 2nd in Data Governance with 41 reviews while SAP Data Hub is ranked 26th in Data Governance with 3 reviews. Collibra Governance is rated 7.6, while SAP Data Hub is rated 7.6. The top reviewer of Collibra Governance writes "Transformed our cross-functional business teams into one enterprise-facing view". On the other hand, the top reviewer of SAP Data Hub writes "The solution is seamless, but the database sometimes leads to confusion". Collibra Governance is most compared with Microsoft Purview Data Governance, Informatica Axon, Alation Data Catalog, BigID and SAS Data Management, whereas SAP Data Hub is most compared with Microsoft Purview Data Governance, SAP Data Services, Alation Data Catalog, Azure Data Factory and Palantir Foundry.
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