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Apache Spark vs. Informatica PowerCenter (legacy)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Apache Spark

    Score9.2 out of 10
    N/AApache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.N/A

    Informatica PowerCenter (legacy)

    Score7.9 out of 10
    N/AInformatica PowerCenter was data integration technology designed to form the foundation for data integration initiatives, application migration, or analytics. It is a legacy product.N/A
    Pricing
    Apache SparkInformatica PowerCenter (legacy)
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Apache SparkInformatica PowerCenter (legacy)
    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
    Apache SparkInformatica PowerCenter (legacy)
    Considered Both Products
    Apache
    Chose Apache Spark
    • Apache Spark works in distributed mode using cluster
    • Informatica and Datastage cannot scale horizontally
    • We can write custom code in spark, whereas in Datastage and Informatica we can only choose the different features proivided already.
    Incentivized
    Discontinued Products
    No answer on this topic
    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
    Apache SparkInformatica PowerCenter (legacy)
    Data Source Connection
    Comparison of Data Source Connection features of Apache Spark and Informatica PowerCenter (legacy)
    Feature
    Apache Spark
    -
    Ratings
    Informatica PowerCenter (legacy)
    8.5
    18 Ratings
    Connect to traditional data sources00 Ratings9.018 Ratings
    Connecto to Big Data and NoSQL00 Ratings8.014 Ratings
    Data Transformations
    Comparison of Data Transformations features of Apache Spark and Informatica PowerCenter (legacy)
    Feature
    Apache Spark
    -
    Ratings
    Informatica PowerCenter (legacy)
    7.5
    18 Ratings
    Simple transformations00 Ratings8.018 Ratings
    Complex transformations00 Ratings7.018 Ratings
    Data Modeling
    Comparison of Data Modeling features of Apache Spark and Informatica PowerCenter (legacy)
    Feature
    Apache Spark
    -
    Ratings
    Informatica PowerCenter (legacy)
    8.2
    18 Ratings
    Data model creation00 Ratings9.015 Ratings
    Metadata management00 Ratings8.016 Ratings
    Business rules and workflow00 Ratings9.018 Ratings
    Collaboration00 Ratings6.116 Ratings
    Testing and debugging00 Ratings9.017 Ratings
    Data Governance
    Comparison of Data Governance features of Apache Spark and Informatica PowerCenter (legacy)
    Feature
    Apache Spark
    -
    Ratings
    Informatica PowerCenter (legacy)
    9.0
    15 Ratings
    Integration with data quality tools00 Ratings9.015 Ratings
    Integration with MDM tools00 Ratings9.013 Ratings
    User Ratings
    Apache SparkInformatica PowerCenter (legacy)
    Likelihood to Recommend
    9.0
    (24 ratings)
    8.0
    (21 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    10.0
    (4 ratings)
    Usability
    8.0
    (4 ratings)
    9.0
    (3 ratings)
    Performance
    -
    (0 ratings)
    9.4
    (2 ratings)
    Support Rating
    8.7
    (4 ratings)
    9.0
    (2 ratings)