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Informatica Cloud Data Integration vs. Informatica Cloud Data Quality

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Informatica Cloud Data Integration

    Score8.7 out of 10
    N/AInformatica Cloud Data Integration, for Cloud ETL and ELT, enables users to ingest, integrate and cleanse data within Informatica's cloud-native ETL and ELT solution. Users can link source and target data with thousands of connectors that recognize metadata, to make it easier to run complex integrations.N/A

    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
    Pricing
    Informatica Cloud Data IntegrationInformatica Cloud Data Quality
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Informatica Cloud Data IntegrationInformatica Cloud Data Quality
    Free Trial
    YesNo
    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 IntegrationInformatica Cloud Data Quality
    Data Source Connection
    Comparison of Data Source Connection features of Informatica Cloud Data Integration and Informatica Cloud Data Quality
    Feature
    Informatica Cloud Data Integration
    10.0
    2 Ratings
    18% above category average
    Informatica Cloud Data Quality
    -
    Ratings
    Connect to traditional data sources10.02 Ratings00 Ratings
    Connecto to Big Data and NoSQL10.02 Ratings00 Ratings
    Data Transformations
    Comparison of Data Transformations features of Informatica Cloud Data Integration and Informatica Cloud Data Quality
    Feature
    Informatica Cloud Data Integration
    8.5
    2 Ratings
    4% above category average
    Informatica Cloud Data Quality
    -
    Ratings
    Simple transformations10.02 Ratings00 Ratings
    Complex transformations7.02 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of Informatica Cloud Data Integration and Informatica Cloud Data Quality
    Feature
    Informatica Cloud Data Integration
    8.3
    2 Ratings
    4% above category average
    Informatica Cloud Data Quality
    -
    Ratings
    Data model creation9.01 Ratings00 Ratings
    Metadata management9.01 Ratings00 Ratings
    Business rules and workflow9.01 Ratings00 Ratings
    Collaboration7.02 Ratings00 Ratings
    Testing and debugging7.02 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of Informatica Cloud Data Integration and Informatica Cloud Data Quality
    Feature
    Informatica Cloud Data Integration
    9.0
    1 Ratings
    11% above category average
    Informatica Cloud Data Quality
    -
    Ratings
    Integration with data quality tools9.01 Ratings00 Ratings
    Integration with MDM tools9.01 Ratings00 Ratings
    Data Quality
    Comparison of Data Quality features of Informatica Cloud Data Integration and Informatica Cloud Data Quality
    Feature
    Informatica Cloud Data Integration
    -
    Ratings
    Informatica Cloud Data Quality
    8.2
    4 Ratings
    4% below category average
    Data source connectivity00 Ratings8.94 Ratings
    Data profiling00 Ratings8.74 Ratings
    Master data management (MDM) integration00 Ratings8.24 Ratings
    Data element standardization00 Ratings7.14 Ratings
    Match and merge00 Ratings7.94 Ratings
    Address verification00 Ratings8.44 Ratings
    Best Alternatives
    Informatica Cloud Data IntegrationInformatica Cloud Data Quality
    Small Businesses
    Skyvia
    Score10 out of 10
    No answers on this topic
    Medium-sized Companies
    IBM InfoSphere Information Server
    Score10 out of 10
    No answers on this topic
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    SAP Data Services
    Score7.8 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Informatica Cloud Data IntegrationInformatica Cloud Data Quality
    Likelihood to Recommend
    8.0
    (2 ratings)
    9.0
    (19 ratings)
    Likelihood to Renew
    -
    (0 ratings)
    6.6
    (14 ratings)
    Usability
    6.0
    (1 ratings)
    8.0
    (1 ratings)
    Availability
    -
    (0 ratings)
    9.0
    (2 ratings)
    Performance
    -
    (0 ratings)
    9.0
    (1 ratings)
    Online Training
    -
    (0 ratings)
    10.0
    (1 ratings)
    Implementation Rating
    -
    (0 ratings)
    10.0
    (1 ratings)
    Product Scalability
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    Informatica Cloud Data IntegrationInformatica Cloud Data Quality
    Likelihood to Recommend
    Informatica
    We use it a lot for importing data. We transform the incoming data to match the formatting of our CRM. We also match on existing records to avoid creating duplicates. Informatica handles all of this exceptionally well. Our users are system administrators. The tool is not well-suited for users who do not have a technical background
    Incentivized
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    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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    Pros
    Informatica
    • Data synchronisation
    • Data replication
    • Data integration
    Read full review
    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
    Cons
    Informatica
    • There is a moderately steep learning curve
    • Has some idiosyncrasies
    • Can be finicky with date formats
    Incentivized
    Read full review
    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.
    Read full review
    Likelihood to Renew
    Informatica
    No answers on this topic
    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
    Usability
    Informatica
    There is a learning curve with Informatica. It is not always intuitive to use. It is best suited for technical users such as system administrators
    Incentivized
    Read full review
    Informatica
    Easy to use not only for developers but also business users
    Incentivized
    Read full review
    Reliability and Availability
    Informatica
    No answers on this topic
    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
    Performance
    Informatica
    No answers on this topic
    Informatica
    Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.
    Incentivized
    Read full review
    Alternatives Considered
    Informatica
    It is really easy to comply and understand its features.
    Read full review
    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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    Scalability
    Informatica
    No answers on this topic
    Informatica
    Scalability works as expected and it is truly an enterprise system.
    Incentivized
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    Return on Investment
    Informatica
    • Really greatest than any other conventional application.
    Read full review
    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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