IBM Infosphere Information Analyzer vs Oracle Data Quality comparison

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Executive Summary

We performed a comparison between IBM Infosphere Information Analyzer and Oracle Data Quality based on real PeerSpot user reviews.

Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality.
To learn more, read our detailed Data Quality Report (Updated: March 2024).
763,955 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:
Pros
"What's most useful in IBM Infosphere Information Analyzer is you can access it from anywhere. It's also pretty easy to learn, so even non-technical business people use it and found the solution easy to learn.""You can also schedule and run data quality on the critical data elements on the databases."

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"I have found the most valuable features to be data cleansing and deduplication.""Once it is set up, it is easy to use and maintain.""The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company.""With Oracle Data Quality, the most valuable feature is entity matching."

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Cons
"What could be improved or added to IBM Infosphere Information Analyzer is more connectors. This solution comes in a package with IBM InfoSphere DataStage and is missing a lot of connectors to various, new data sources, so IBM needs to work on that area. Compared with competitors such as Informatica and Alation which acquired other small companies to work on the connectors, IBM has not done any testing and has tried to develop the connectors in-house, but that's taking a lot of time. As a result, my company is unable to connect to a lot of data sources, particularly modern data sources.""The solution is outdated and is not on cloud."

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"If the length of time required for deployment was reduced then it would be very helpful.""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.""Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.""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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Pricing and Cost Advice
  • "For the licensing cost of IBM Infosphere Information Analyzer, I have no information on the exact cost, but as it's bundled with other IBM products such as IBM InfoSphere Information Governance Catalog and IBM InfoSphere DataStage, the bundle is expensive when compared to competitor pricing."
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  • "The vendor needs to revisit their pricing strategy."
  • "The price of this solution is comparable to other similar solutions."
  • More Oracle Data Quality Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:They have developed a new product called Watson Catalog, an upgrade from IBM Infosphere Information Analyzer. It is a cloud patch for data. The solution is outdated and is not on cloud. In addition… more »
    Top Answer:We use all the tools in their suite, and their data quality and governance are great. You can do data profiling and quality analysis with the IBM Infosphere Information Analyzer. You can also schedule… more »
    Top Answer:I rate the solution a four out of ten. The solution is useful and can do the job, but there are other new tools in the market today.
    Top Answer:The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator I… more »
    Top Answer:Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more… more »
    Top Answer:We're mostly using Oracle Data Quality during the ETVL process, or to make sure that there's one source of truth and that there's no redundancy at all. We're also using the solution for quality… more »
    Ranking
    11th
    out of 44 in Data Quality
    Views
    788
    Comparisons
    297
    Reviews
    3
    Average Words per Review
    607
    Rating
    7.0
    10th
    out of 44 in Data Quality
    Views
    497
    Comparisons
    232
    Reviews
    1
    Average Words per Review
    936
    Rating
    9.0
    Comparisons
    Also Known As
    Information Analyzer
    Datanomic
    Learn More
    Overview
    IBM Information Analyzer provides data quality assessment, data quality monitoring and data rule design and analysis capabilities. This software helps you derive more meaning from your enterprise data, reduces the risk of proliferating incorrect information, facilitates the delivery of trusted content, and helps to lower data integration costs.
    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.
    Sample Customers
    Integra LifeSciences, Longjiang Bank Corp., Webster University, Swedish Armed Forces, Edith Cowan University, Premier, PRISA Digital, TIAA CREF
    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
    VISITORS READING REVIEWS
    Financial Services Firm34%
    Insurance Company11%
    Computer Software Company10%
    Manufacturing Company8%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company9%
    Manufacturing Company8%
    Real Estate/Law Firm4%
    Company Size
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise5%
    Large Enterprise78%
    REVIEWERS
    Midsize Enterprise22%
    Large Enterprise78%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise13%
    Large Enterprise71%
    Buyer's Guide
    Data Quality
    March 2024
    Find out what your peers are saying about Informatica, SAP, Talend and others in Data Quality. Updated: March 2024.
    763,955 professionals have used our research since 2012.

    IBM Infosphere Information Analyzer is ranked 11th in Data Quality with 3 reviews while Oracle Data Quality is ranked 10th in Data Quality with 1 review. IBM Infosphere Information Analyzer is rated 7.6, while Oracle Data Quality is rated 8.4. The top reviewer of IBM Infosphere Information Analyzer writes "Data rules, column analysis are valuable but the interface is not intuitive". On the other hand, the top reviewer of Oracle Data Quality writes "Fast, has good extraction, validation, and transformation features, and provides good support". IBM Infosphere Information Analyzer is most compared with Informatica Data Quality, IBM QualityStage, SAP Data Services and Innovative Systems iLytics Enterprise Data Quality, whereas Oracle Data Quality is most compared with Informatica Data Quality.

    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.