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SAP Data Hub vs SAP Information Steward comparison

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Comparison Buyer's Guide
Executive Summary

We performed a comparison between SAP Data Hub and SAP Information Steward based on real PeerSpot user reviews.

Find out in this report how the two Metadata Management solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

To learn more, read our detailed SAP Data Hub vs. SAP Information Steward report (Updated: September 2022).
635,513 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
"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"

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"Very easy to deploy.""Initial setup was straightforward.""The data profiling was excellent, as was the ease of generating the dashboards.""Ability to collect information, monitor user access and to plan storage capacity.""The Data Cleansing and the scorecard dashboard are very valuable. Additionally, the financial aspect of SAP Information Steward is very good. When a rule is incorrect then it will show how much is it costing the business. These features are very valuable.""The solution is very fast.""Setup is straightforward.""Data insight is the most valuable feature."

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"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market.""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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"The user experience of metapedia could be improved.""A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies.""We'd like to see some manipulation techniques included in SAP Information Steward.""Performance could be improved.""Support team is not very responsive.""Granularity could be reduced from an application level to the object level.""Needs to be more powerful on rules.""The solution could improve by incorporating other applications, such as Power BI to show more visualization. More interaction with other solutions would be a good benefit."

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Pricing and Cost Advice
  • "The Cloud is very expensive, but SAP HANA previous service is okay."
  • More SAP Data Hub Pricing and Cost Advice →

  • "I do not know if there were additional costs beyond the standard licensing fees."
  • "SAP Information Steward is an expensive solution compared to others."
  • "A bit pricey, and better tools are available for a lower price."
  • More SAP Information Steward Pricing and Cost Advice →

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    635,513 professionals have used our research since 2012.
    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 »
    out of 24 in Metadata Management
    Average Words per Review
    out of 24 in Metadata Management
    Average Words per Review
    Also Known As
    Information Steward, SAP Data Insight
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    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.

    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
    Computer Software Company24%
    Comms Service Provider10%
    Manufacturing Company9%
    Financial Services Firm7%
    Computer Software Company16%
    Financial Services Firm11%
    Energy/Utilities Company11%
    Manufacturing Company10%
    Company Size
    Small Business14%
    Midsize Enterprise10%
    Large Enterprise76%
    Small Business11%
    Midsize Enterprise9%
    Large Enterprise80%
    Buyer's Guide
    SAP Data Hub vs. SAP Information Steward
    September 2022
    Find out what your peers are saying about SAP Data Hub vs. SAP Information Steward and other solutions. Updated: September 2022.
    635,513 professionals have used our research since 2012.

    SAP Data Hub is ranked 5th in Metadata Management with 2 reviews while SAP Information Steward is ranked 4th in Metadata Management with 8 reviews. SAP Data Hub is rated 8.0, while SAP Information Steward is rated 7.6. 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 "Good for reporting and analysis purposes but not helpful for data transformation". SAP Data Hub is most compared with SAP Data Services, Qlik Replicate, Palantir Foundry, Azure Data Factory and Denodo, whereas SAP Information Steward is most compared with SAP Data Quality Management, SAP Data Services, Informatica Data Quality, SAP PowerDesigner and Collibra Catalog. See our SAP Data Hub vs. SAP Information Steward report.

    See our list of best Metadata Management vendors.

    We monitor all Metadata Management reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.