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Oracle Data Quality vs SAP Information Steward comparison

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Buyer's Guide
Oracle Data Quality vs. SAP Information Steward
May 2022
Find out what your peers are saying about Oracle Data Quality vs. SAP Information Steward and other solutions. Updated: May 2022.
609,272 professionals have used our research since 2012.
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"With Oracle Data Quality, the most valuable feature is entity matching.""I have found the most valuable features to be data cleansing and deduplication."

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"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.""Initial setup was straightforward.""Data insight is the most valuable feature.""The data profiling was excellent, as was the ease of generating the dashboards.""Very easy to deploy.""Setup is straightforward.""The solution is very fast.""Ability to collect information, monitor user access and to plan storage capacity."

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Cons
"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script.""Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."

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"The user experience of metapedia could be improved.""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.""Performance could be improved.""We'd like to see some manipulation techniques included in SAP Information Steward.""A problem with the solution is that it does not allow us to review the results of Information Stewards for other analogies.""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."

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Pricing and Cost Advice
  • "The price of this solution is comparable to other similar solutions."
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  • "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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    Questions from the Community
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    Top Answer:Data insight is the most valuable feature.
    Top Answer:I can't speak to the pricing as I am not directly involved with those discussions. However, my understanding is that the solution has competitive pricing.
    Top Answer:The user experience of metapedia could be improved. I'd like to see integration with data inclusion.
    Ranking
    12th
    out of 42 in Data Quality
    Views
    334
    Comparisons
    207
    Reviews
    2
    Average Words per Review
    449
    Rating
    7.5
    3rd
    out of 42 in Data Quality
    Views
    1,424
    Comparisons
    1,122
    Reviews
    8
    Average Words per Review
    599
    Rating
    7.6
    Comparisons
    Also Known As
    Datanomic
    Information Steward, SAP Data Insight
    Learn More
    Overview
    Oracle Enterprise Data Quality delivers a complete, best-of-breed approach to party and product data, resulting in trustworthy master data that integrates with applications to improve business insight.

    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 Oracle Data Quality
    Learn more about SAP Information Steward
    Sample Customers
    Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,
    American Water, Graphic Packaging International, OSRAM Licht AG, Maxim Integrated
    Top Industries
    REVIEWERS
    Government29%
    Energy/Utilities Company14%
    Recruiting/Hr Firm14%
    Financial Services Firm14%
    VISITORS READING REVIEWS
    Computer Software Company42%
    Energy/Utilities Company11%
    Financial Services Firm8%
    Comms Service Provider7%
    VISITORS READING REVIEWS
    Computer Software Company25%
    Comms Service Provider13%
    Energy/Utilities Company10%
    Manufacturing Company9%
    Company Size
    REVIEWERS
    Midsize Enterprise25%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise10%
    Large Enterprise81%
    VISITORS READING REVIEWS
    Small Business9%
    Midsize Enterprise10%
    Large Enterprise81%
    Buyer's Guide
    Oracle Data Quality vs. SAP Information Steward
    May 2022
    Find out what your peers are saying about Oracle Data Quality vs. SAP Information Steward and other solutions. Updated: May 2022.
    609,272 professionals have used our research since 2012.

    Oracle Data Quality is ranked 12th in Data Quality with 2 reviews while SAP Information Steward is ranked 3rd in Data Quality with 8 reviews. Oracle Data Quality is rated 7.6, while SAP Information Steward is rated 7.6. The top reviewer of Oracle Data Quality writes "Can be used in the fund raising industry for entity matching". On the other hand, the top reviewer of SAP Information Steward writes "Good for reporting and analysis purposes but not helpful for data transformation". Oracle Data Quality is most compared with Informatica Data Quality and SAP Data Quality Management, whereas SAP Information Steward is most compared with SAP Data Quality Management, SAP Data Services, Informatica Data Quality, SAP Data Hub and SAP PowerDesigner. See our Oracle Data Quality vs. SAP Information Steward report.

    See our list of best Data Quality vendors.

    We monitor all Data Quality 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.