Compare SAP Data Hub vs. SAP Information Steward

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Most Helpful Review
Quotes From Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros
"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."

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"Ability to collect information, monitor user access and to plan storage capacity."

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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."

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"Granularity could be reduced from an application level to the object level."

More SAP Information Steward Cons »

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Questions from the Community
Top Answer: 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… more »
Top Answer: 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… more »
Top Answer: It is build based on the IoT implementations that we have. We are capturing a lot of data for a warehouse and manufacturing company. We capture data about how their machines are performing. For… more »
Top Answer: Ability to collect information, monitor user access and to plan storage capacity.
Top Answer: As a value proposition, the solution is an expensive one but the benefits of having it as a cost-benefit analysis to prevent intrusion, breaches, inappropriate access, is warranted. So I would venture… more »
Top Answer: I would like to see the granularity of the configuration reduced from a global or an application level to the object level, together with the ability to archive data retention and make reporting and… more »
Ranking
4th
out of 23 in Metadata Management
Views
3,631
Comparisons
3,302
Reviews
1
Average Words per Review
1,897
Rating
6.0
7th
out of 23 in Metadata Management
Views
1,087
Comparisons
946
Reviews
1
Average Words per Review
1,151
Rating
7.0
Popular Comparisons
Also Known As
Information Steward, SAP Data Insight
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Overview

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.

Monitor, analyze, and improve data integrity with SAP Information Steward software.  Combine data profiling and metadata management tools for continuous insight into the quality of enterprise information to optimize processes, and enhance operational, analytical, and data governance initiatives.

Offer
Learn more about SAP Data Hub
Learn more about SAP Information Steward
Sample Customers
Kaeser Kompressoren, HARTMANN
American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
Top Industries
VISITORS READING REVIEWS
Computer Software Company42%
Comms Service Provider13%
Manufacturing Company8%
Energy/Utilities Company5%
VISITORS READING REVIEWS
Computer Software Company27%
Comms Service Provider16%
Energy/Utilities Company10%
Financial Services Firm7%

SAP Data Hub is ranked 4th in Metadata Management with 1 review while SAP Information Steward is ranked 7th in Metadata Management with 1 review. SAP Data Hub is rated 6.0, while SAP Information Steward is rated 7.0. 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". On the other hand, the top reviewer of SAP Information Steward writes "Great for collecting, monitoring and planning storage capacity; functionality could be improved". SAP Data Hub is most compared with SAP Data Services, Palantir Foundry, Azure Data Factory, SAP Process Orchestration and Alation Data Catalog, whereas SAP Information Steward is most compared with SAP Data Quality Management, Informatica Data Quality, SAP Data Services, Collibra Catalog and ASG Enterprise Data Intelligence.

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