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Informatica Data Quality vs Oracle Data Quality comparison

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Featured Review
Buyer's Guide
Informatica Data Quality vs. Oracle Data Quality
July 2022
Find out what your peers are saying about Informatica Data Quality vs. Oracle Data Quality and other solutions. Updated: July 2022.
622,358 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
"The solution is applicable for both technical and business users.""The user interface is flexible and the visibility of the data flow is amazing.""It is very useful for testing purposes and designing mappings for small projects. If you go for IDQ in the mapping itself, you can see the data. You can then correct it, and test it so easily. It is working fine. It is also stable, scalable, and easy to deploy.""Seeing the data in the mapping itself is really nice.""There are a couple of valuable features. One is that it is very quick on the profiling. So, you get a very fast snapshot of the type of data that you're looking at from the profiling perspective. It can highlight anomalies in the data."

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"I have found the most valuable features to be data cleansing and deduplication.""With Oracle Data Quality, the most valuable feature is entity matching."

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Cons
"It can be improved in terms of performance and execution. I'm expecting better performance. It currently has some restrictions in terms of execution. For example, if we want to run it in the command mode and execute it, there are some restrictions, and we are facing some issues with a huge volume of data. These restrictions are not there in Informatica PowerCenter because we are able to execute a huge volume of data, and there are more ways to execute it.""The tool's performance is an area that should be given further consideration.""Their UI needs improvement. Their scorecards and reporting also need improvement. Their data quality reporting, especially their dashboards and scorecards, is lackluster at best. Its reporting capabilities are limited. If you want to do anything beyond its limited reporting capabilities, then you're going to have to use an external reporting tool such as Power BI or something like that.""The ability of the product to leverage the power of big data could be improved.""Although we are very satisfied with the design of the UI, executing tasks with it can be difficult."

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"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.""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."

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Pricing and Cost Advice
Information Not Available
  • "The price of this solution is comparable to other similar solutions."
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    Questions from the Community
    Top Answer:The user interface is flexible and the visibility of the data flow is amazing.
    Top Answer:I believe licensing is around $700,000 annually and we pay around $300,000 for support. The licensing is tricky because sometimes we need to pay for additional connectors and those are hidden costs… more »
    Top Answer:The tool's performance is an area that should be given further consideration.
    Top Answer:With Oracle Data Quality, the most valuable feature is entity matching.
    Top Answer:We are looking for a really good data integration tool. 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… more »
    Top Answer:We use it in the university fundraising industry. Once students graduate and start giving to the university, they become donors. Then, we need to maintain their giving history. Giving is quite… more »
    Ranking
    4th
    out of 42 in Data Quality
    Views
    2,710
    Comparisons
    1,814
    Reviews
    5
    Average Words per Review
    395
    Rating
    7.6
    12th
    out of 42 in Data Quality
    Views
    363
    Comparisons
    212
    Reviews
    2
    Average Words per Review
    449
    Rating
    7.5
    Comparisons
    Also Known As
    Datanomic
    Learn More
    Overview

    Deliver high-quality clean and trusted data with an enterprise class data quality and governance solution that scales, regardless of size or format or data, platform, or technology.

    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.
    Offer
    Learn more about Informatica Data Quality
    Learn more about Oracle Data Quality
    Sample Customers
    Condé Nast, Tani, U.S. Xpress Enterprise
    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,
    Top Industries
    REVIEWERS
    Computer Software Company29%
    Comms Service Provider14%
    Financial Services Firm14%
    Insurance Company14%
    VISITORS READING REVIEWS
    Computer Software Company30%
    Financial Services Firm11%
    Comms Service Provider9%
    Energy/Utilities Company7%
    REVIEWERS
    Government29%
    Energy/Utilities Company14%
    Recruiting/Hr Firm14%
    Financial Services Firm14%
    VISITORS READING REVIEWS
    Computer Software Company39%
    Financial Services Firm11%
    Energy/Utilities Company10%
    Comms Service Provider8%
    Company Size
    REVIEWERS
    Small Business18%
    Midsize Enterprise9%
    Large Enterprise73%
    VISITORS READING REVIEWS
    Small Business14%
    Midsize Enterprise10%
    Large Enterprise76%
    REVIEWERS
    Midsize Enterprise25%
    Large Enterprise75%
    VISITORS READING REVIEWS
    Small Business10%
    Midsize Enterprise10%
    Large Enterprise80%
    Buyer's Guide
    Informatica Data Quality vs. Oracle Data Quality
    July 2022
    Find out what your peers are saying about Informatica Data Quality vs. Oracle Data Quality and other solutions. Updated: July 2022.
    622,358 professionals have used our research since 2012.

    Informatica Data Quality is ranked 4th in Data Quality with 6 reviews while Oracle Data Quality is ranked 12th in Data Quality with 2 reviews. Informatica Data Quality is rated 7.4, while Oracle Data Quality is rated 7.6. The top reviewer of Informatica Data Quality writes "Quick on profiling and scales very well, but needs better UI and more reporting capabilities". On the other hand, the top reviewer of Oracle Data Quality writes "Can be used in the fund raising industry for entity matching". Informatica Data Quality is most compared with Informatica Cloud Data Quality, Talend Data Quality, SAP Information Steward, IBM Infosphere Information Analyzer and SAP Data Services, whereas Oracle Data Quality is most compared with SAP Data Quality Management. See our Informatica Data Quality vs. Oracle Data Quality 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.