We performed a comparison between Alation Data Catalog 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."Alation Data Catalog's best feature is the SQL query publication."
"The platform's most valuable features are workflow automation, automated business metadata tagging, technical metadata tagging, and data integration with data quality tools or platforms."
"Given the relatively low level of maturity, Alation's most relevant feature at the moment is a user interface that's easy to navigate, which helps us find and understand the data. So while Alation has a lot more functionality, our pain point right now is being able to easily find, understand, and trust the information to use it."
"The most valuable features of Alation Data Catalog are the simplicity in onboarding data sources, the security in securing the data sources, and the way the various users of Alation Data Catalog communicate with each other through a messenger."
"The tool's metadata cataloging is the most valuable feature."
"We had some of our data science engineers, who had built out some cloud-based data and data products for users. They were spending a lot of their time, up to 30 to 35% of their time, answering questions about the data and helping people understand how to use it. Once they were able to document that information within Alation, they were only focusing on around 5% of the high-value questions that really couldn't be solved through the catalog itself. It freed them up to be more productive, it made their end-users more productive, and it made the adoption rate of their data products rise more quickly because people were able to get to using them."
"We can customize templates based on our use cases."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"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."
"I know that this has been on their roadmap and they're working on it, but as a whole, there's an untapped reservoir of capabilities within their article features that could be used and built upon."
"Alation Data Catalog does not provide end-to-end data lineage."
"Alation Data Catalog needs to develop a lot in terms of data governance and would be improved with a built-in interactive data quality solution."
"Alation Data Catalog doesn't support end-to-end lineage. By that, I mean the ability to trace the movement of data from when it first comes into our organization to where it's consumed."
"The product's data governance features need improvement."
"The tool's domain model needs to be changed."
"The interface is not user-friendly."
"The company has everything offshore."
"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."
Alation Data Catalog is ranked 5th in Data Governance with 7 reviews while SAP Data Hub is ranked 25th in Data Governance with 3 reviews. Alation Data Catalog is rated 7.8, while SAP Data Hub is rated 7.6. The top reviewer of Alation Data Catalog writes "The catalog now provides an opportunity for people to come together, to share, and to find". On the other hand, the top reviewer of SAP Data Hub writes "The solution is seamless, but the database sometimes leads to confusion". Alation Data Catalog is most compared with Microsoft Purview, Collibra Governance, Informatica Axon, Informatica Enterprise Data Catalog and Ataccama ONE Platform, whereas SAP Data Hub is most compared with Microsoft Purview, SAP Data Services, Azure Data Factory, Collibra Governance and Palantir Foundry.
See our list of best Data Governance vendors and best Metadata Management vendors.
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