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AWS Data Pipeline (legacy) vs. Studio9

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AWS Data Pipeline (legacy)

14 Reviews and Ratings

Studio9

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Data Pipeline (legacy)

    Score6 out of 10
    		N/AAWS Data Pipeline was a web service used to automate the movement and transformation of data. The product is closed to new customers, and currently is in maintenance mode.N/A

    Studio9

    		N/AN/AStudio9 is an open source platform for doing collaborative Data Management & AI/ML. Whether data is trapped in silos or generated at the edge, Studio9 is designed to give users the flexibility to create AI and data engineering pipelines wherever data is. Users can share AI, Data, and Pipelines with anyone, anywhere. Studio9 is designed to provide users newfound agility to move between compute environments while data and work replicates automatically to wherever it is wanted.

    $0

    Pricing
    AWS Data Pipeline (legacy)Studio9
    Editions & Modules
    No answers on this topic
    No answers on this topic
    Offerings
    Pricing Offerings
    AWS Data Pipeline (legacy)Studio9
    Free Trial
    NoNo
    Free/Freemium Version
    NoYes
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeNo setup feeNo setup fee
    Additional Details——
    More Pricing Information
    Best Alternatives
    AWS Data Pipeline (legacy)Studio9
    Small Businesses
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    No answers on this topic
    Medium-sized Companies
    Apache Spark
    Score8.8 out of 10
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    Score8.8 out of 10
    Enterprises
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    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS Data Pipeline (legacy)Studio9
    Likelihood to Recommend
    10.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    AWS Data Pipeline (legacy)Studio9
    Likelihood to Recommend
    Discontinued Products
    AWS Data Pipeline is a web service that helps you reliably process and move data between different AWS compute and storage services, as well as on-premises data sources, at specified intervals. With AWS Data Pipeline, you can regularly access your data where it’s stored, transform and process it at scale, and efficiently transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR.
    Incentivized
    Vaibhav Wadikar
    Data Engineer
    Read full review
    Open Source
    No answers on this topic
    Pros
    Discontinued Products
    • Helps you easily create complex data processing workloads
    • Fault tolerant
    • Highly available
    Incentivized
    Vaibhav Wadikar
    Data Engineer
    Read full review
    Open Source
    No answers on this topic
    Cons
    Discontinued Products
    • Pipeline Stuck in Pending Status
    • Pipeline Component Stuck in Waiting for Runner Status
    • EMR Cluster Fails With Error
    Incentivized
    Vaibhav Wadikar
    Data Engineer
    Read full review
    Open Source
    No answers on this topic
    Alternatives Considered
    Discontinued Products
    AWS data pipelines are easy to use over data factory for data engineers
    Incentivized
    Vaibhav Wadikar
    Data Engineer
    Read full review
    Open Source
    No answers on this topic
    Return on Investment
    Discontinued Products
    • Easy to use
    • Data engineers are able to create the data pipelines quickly and effectively
    • Scalable and Fault tolerant
    Incentivized
    Vaibhav Wadikar
    Data Engineer
    Read full review
    Open Source
    No answers on this topic
    ScreenShots