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Informatica Cloud Data Quality vs. Oracle Enterprise Data Quality

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Informatica Cloud Data Quality

    Score6.9 out of 10
    N/AThe vendor states that Informatica Data Quality empowers companies to take a holistic approach to managing data quality across the entire organization, and that with Informatica Data Quality, users are able to ensure the success of data-driven digital transformation initiatives and projects across users, types, and scale, while also automating mission-critical tasks.N/A

    Oracle Data Quality

    Score9.5 out of 10
    N/AOracle Enterprise Data Quality is, as the name would suggest, a data quality offering from Oracle for enterprises.N/A
    Pricing
    Informatica Cloud Data QualityOracle Data Quality
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Informatica Cloud Data QualityOracle Data Quality
    Free Trial
    NoNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details
    More Pricing Information
    Community Pulse
    Informatica Cloud Data QualityOracle Data Quality
    Considered Both Products
    Informatica
    Chose Informatica Cloud Data Quality
    There was not an evaluation period, since the product was already purchased by my company. I performed the installation and did the implementation.
    Incentivized
    Oracle
    Chose Oracle Data Quality
    Oracle Enterprise Data Quality is affordable and I find it more resourceful. Using it is easy too thanks to the improved UI.
    Incentivized
    Key User Insights
    Would buy again
    No answers on this topic
    No answers on this topic
    Delivers good value for the price
    No answers on this topic
    No answers on this topic
    Happy with the feature set
    No answers on this topic
    No answers on this topic
    Lived up to sales and marketing promises
    No answers on this topic
    No answers on this topic
    Implementation went as expected
    No answers on this topic
    No answers on this topic
    Features
    Informatica Cloud Data QualityOracle Data Quality
    Data Quality
    Comparison of Data Quality features of Informatica Cloud Data Quality and Oracle Enterprise Data Quality
    Feature
    Informatica Cloud Data Quality
    8.2
    4 Ratings
    4% below category average
    Oracle Enterprise Data Quality
    9.6
    7 Ratings
    11% above category average
    Data source connectivity8.94 Ratings9.57 Ratings
    Data profiling8.74 Ratings10.07 Ratings
    Master data management (MDM) integration8.24 Ratings9.57 Ratings
    Data element standardization7.14 Ratings9.57 Ratings
    Match and merge7.94 Ratings9.57 Ratings
    Address verification8.44 Ratings9.56 Ratings
    Best Alternatives
    Informatica Cloud Data QualityOracle Data Quality
    Small Businesses
    No answers on this topic
    No answers on this topic
    Medium-sized Companies
    No answers on this topic
    No answers on this topic
    Enterprises
    SAP Data Services
    Score7.8 out of 10
    SAP Data Services
    Score7.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Informatica Cloud Data QualityOracle Data Quality
    Likelihood to Recommend
    9.0
    (19 ratings)
    9.5
    (7 ratings)
    Likelihood to Renew
    6.6
    (14 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (1 ratings)
    -
    (0 ratings)
    Availability
    9.0
    (2 ratings)
    -
    (0 ratings)
    Performance
    9.0
    (1 ratings)
    -
    (0 ratings)
    Online Training
    10.0
    (1 ratings)
    -
    (0 ratings)
    Implementation Rating
    10.0
    (1 ratings)
    -
    (0 ratings)
    Product Scalability
    9.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    Informatica Cloud Data QualityOracle Data Quality
    Likelihood to Recommend
    Informatica
    For effective data collaboration, systematic verification of customer information, and address, among others, Informatica Data Quality is a fruitful application to consider. Besides, Informatica Data Quality controls quality through a cleansing process, giving the company a professional outline of candid data profiling and reputable analytics. Finally, Informatica Data Quality allows the simplistic navigation of content, with a dashboard that supports predictability.
    Incentivized
    Read full review
    Oracle
    When it comes to cleaning large data, for instance customer data, Oracle Enterprise Data Quality comes in handy and offers best features that makes it easy to clean data and visualize any flows
    Incentivized
    Read full review
    Pros
    Informatica
    • The matching algorithms in IDQ are very powerful if you understand the different types that they offer (e.g., Hamming Distance, Jaro, Bigram, etc..). We had to play around with it to see which best suit our own needs of identifying and eliminating duplicate customers. Setting up the whole process (e.g., creating the KeyGenerator Transformation, setting up the matching threshold, etc..) can be somewhat time consuming and a challenge if you don't first standardize your data.
    • The integration with PowerCenter is great if you have both. You can either import your mappings directly to PowerCenter or to an XML file. The only downside is that some of the transformations are unique to IDQ, so you are not really able to edit them once in PowerCenter.
    • The standardizer transformation was key in helping us standardize our customer data (e.g., names, addresses, etc..). It was helpful due to having create a reference table containing the standardized value and the associated unstandardized values. What was great was that if you used Informatica Analyst, a business analyst could login and correct any of the values.
    Read full review
    Oracle
    • Ease of management within Oracle Data Integrator (ODI) and effectivity of EDQ Director
    • Ease of installation with web based client.
    • Data Quality issues solved quickly, easily and jobs are controlled within Oracle Data Integrator (ODI) seamlessly.
    • Setup is straightforward. Java web application (OEDQ Director) helped us for not installing any client application.
    Incentivized
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    Cons
    Informatica
    • Several partnerships diminishing the value of technologies
    • Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
    • Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.
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    Oracle
    • Oracle Data Quality requires a mobile version, which would apprehend many users.
    • Oracle Data Quality has an inflexible UI, which should be more enhanced.
    • Oracle Data Quality fails to revise prices, which are candid solutions in controlling the number of subscribers.
    Incentivized
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    Likelihood to Renew
    Informatica
    As pointed out earlier, due all the robust features IDQ has, our use f the product is successful and stable. IDQ is being used in multiple sources (from CRM application and in batch mode). As this is an iterative process, we are looking to improve our system efficiency using IDQ.
    Read full review
    Oracle
    No answers on this topic
    Usability
    Informatica
    Easy to use not only for developers but also business users
    Incentivized
    Read full review
    Oracle
    No answers on this topic
    Reliability and Availability
    Informatica
    The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server
    Incentivized
    Read full review
    Oracle
    No answers on this topic
    Performance
    Informatica
    Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
    Incentivized
    Read full review
    Oracle
    No answers on this topic
    Alternatives Considered
    Informatica
    IDQ is used by a department at my organisation to ensure and enhance the data quality.
    The usage was started with address standardization and now it had been brought to altogether a next level of quality check where it fixes duplicates, junk characters, standardize the names, streets, product descriptions.
    In the past we had issues mainly with duplicate customers and products and this were affecting the sales projection and estimates.
    Read full review
    Oracle
    I know of TDQ. We looked at the feature of TDQ and decided due to the license cost that we would use EDQ
    Incentivized
    Read full review
    Scalability
    Informatica
    Scalability works as expected and it is truly an enterprise system.
    Incentivized
    Read full review
    Oracle
    No answers on this topic
    Return on Investment
    Informatica
    • Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
    • Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
    • Employee efficiency is increased exponentially due to more automated, customized tool
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    Oracle
    • OEDQ reduces a lot of the manual work to review bad addresses.
    • OEDQ helps to validate similar records and make it easier to keep customer loyalty.
    Incentivized
    Read full review
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