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Informatica Cloud Data Quality vs. Oracle Data Masking and Subsetting

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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 Masking and Subsetting

    Score8 out of 10
    N/AOracle Data Masking and Subsetting is designed to help database customers improve security, accelerate compliance, and reduce IT costs by sanitizing copies of production data for testing, development, and other activities and by discarding unnecessary data.N/A
    Pricing
    Informatica Cloud Data QualityOracle Data Masking and Subsetting
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Informatica Cloud Data QualityOracle Data Masking and Subsetting
    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
    Features
    Informatica Cloud Data QualityOracle Data Masking and Subsetting
    Data Quality
    Comparison of Data Quality features of Informatica Cloud Data Quality and Oracle Data Masking and Subsetting
    Feature
    Informatica Cloud Data Quality
    8.2
    4 Ratings
    4% below category average
    Oracle Data Masking and Subsetting
    -
    Ratings
    Data source connectivity8.94 Ratings00 Ratings
    Data profiling8.74 Ratings00 Ratings
    Master data management (MDM) integration8.24 Ratings00 Ratings
    Data element standardization7.14 Ratings00 Ratings
    Match and merge7.94 Ratings00 Ratings
    Address verification8.44 Ratings00 Ratings
    Best Alternatives
    Informatica Cloud Data QualityOracle Data Masking and Subsetting
    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
    Perforce Delphix
    Score9.9 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Informatica Cloud Data QualityOracle Data Masking and Subsetting
    Likelihood to Recommend
    9.0
    (19 ratings)
    9.0
    (1 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 Masking and Subsetting
    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
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    Oracle
    The tool is excellent when you need to provide all the details about your clients, yet hide their identity - all while maintaining the referential integrity of the data (so child-records of the masked parent record and maintain the same fake ID of the parent).
    Incentivized
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    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.
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    Oracle
    • It offers several ways in which you can mask your data; for example, you can choose to replace all names with "real fake names", or choose to replace all SSNs with existing SSNs, but randomly assigned. You control the algorithm.
    • It works on non-Oracle databases as well (in our case, we use it for both Oracle and SQL/Server).
    • The overhead is minimal (it doesn't take long to run, and it doesn't consume too many system resources.
    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
    • The learning curve was not trivial - but we got through it.
    • Cost - this product is not cheap.
    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
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    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
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    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
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    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.
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    Oracle
    We also looked at Delphix: the tool was quite powerful, easy to use, and competitive from a cost standpoint. However, since our entire data warehouse environment is built on the Oracle technology stack, it made sense to us to use the Oracle product here, as it integrates very well with other Oracle database and ETL products.
    Incentivized
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    Scalability
    Informatica
    Scalability works as expected and it is truly an enterprise system.
    Incentivized
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    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
    • We have many compliance regulations we need to adhere to. Without this tool, we were always taking a risk of exposing client information, and get penalized by the State of the Feds (the financial consequences are significant).
    • So while the tool doesn't save us money directly, it greatly reduces the risk we had been taking all these years. To some degree, this is much like an insurance policy.
    • Given the above, it also allows us to share information with other departments/agencies, in situations where before we simply couldn't take the risk of exposing client information.
    Incentivized
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