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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

    IBM DataStage

    Score7.6 out of 10
    N/AIBM® DataStage® is a data integration tool that helps users to design, develop and run jobs that move and transform data. At its core, the DataStage tool supports extract, transform and load (ETL) and extract, load and transform (ELT) patterns. A basic version of the software is available for on-premises deployment, and the cloud-based DataStage for IBM Cloud Pak® for Data offers automated integration capabilities in a hybrid or multicloud environment.N/A
    Pricing
    Apache SparkIBM DataStage
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    Apache SparkIBM DataStage
    Free Trial
    NoYes
    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 SparkIBM DataStage
    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
    IBM
    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 SparkIBM DataStage
    Data Source Connection
    Comparison of Data Source Connection features of Apache Spark and IBM DataStage
    Feature
    Apache Spark
    -
    Ratings
    IBM DataStage
    9.5
    10 Ratings
    Connect to traditional data sources00 Ratings10.010 Ratings
    Connecto to Big Data and NoSQL00 Ratings9.09 Ratings
    Data Transformations
    Comparison of Data Transformations features of Apache Spark and IBM DataStage
    Feature
    Apache Spark
    -
    Ratings
    IBM DataStage
    8.0
    10 Ratings
    Simple transformations00 Ratings8.010 Ratings
    Complex transformations00 Ratings8.010 Ratings
    Data Modeling
    Comparison of Data Modeling features of Apache Spark and IBM DataStage
    Feature
    Apache Spark
    -
    Ratings
    IBM DataStage
    6.3
    10 Ratings
    Data model creation00 Ratings5.07 Ratings
    Metadata management00 Ratings5.09 Ratings
    Business rules and workflow00 Ratings6.09 Ratings
    Collaboration00 Ratings6.010 Ratings
    Testing and debugging00 Ratings6.010 Ratings
    Data Governance
    Comparison of Data Governance features of Apache Spark and IBM DataStage
    Feature
    Apache Spark
    -
    Ratings
    IBM DataStage
    6.0
    9 Ratings
    Integration with data quality tools00 Ratings6.09 Ratings
    Integration with MDM tools00 Ratings6.09 Ratings
    User Ratings
    Apache SparkIBM DataStage
    Likelihood to Recommend
    9.0
    (24 ratings)
    8.0
    (10 ratings)
    Likelihood to Renew
    10.0
    (1 ratings)
    -
    (0 ratings)
    Usability
    8.0
    (4 ratings)
    8.0
    (3 ratings)
    Performance
    -
    (0 ratings)
    9.0
    (1 ratings)
    Support Rating
    8.7
    (4 ratings)
    9.6
    (3 ratings)