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AWS Data Pipeline vs. Sybase Event Stream Processor (discontinued)

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    AWS Data Pipeline

    Score6 out of 10
    N/AAWS Data Pipeline is a web service used to 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, users can regularly access data where it’s stored, transform and process it at scale, and transfer the results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. AWS Data Pipeline is designed to help create complex data processing workloads that are fault tolerant,…N/A

    Sybase Event Stream Processor (discontinued)

    Score4 out of 10
    N/ABase on the former Aleri product, Sybase Event Stream Processor, from SAP, is currently discontinued and no longer supported, or available for sale.N/A
    Pricing
    AWS Data PipelineSybase Event Stream Processor (discontinued)
    Editions & Modules
    No answers on this topic
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    Offerings
    Pricing Offerings
    AWS Data PipelineSybase Event Stream Processor (discontinued)
    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
    Best Alternatives
    AWS Data PipelineSybase Event Stream Processor (discontinued)
    Small Businesses
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    Medium-sized Companies
    Apache Spark
    Score8.8 out of 10
    No answers on this topic
    Enterprises
    Apache Spark
    Score8.8 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    AWS Data PipelineSybase Event Stream Processor (discontinued)
    Likelihood to Recommend
    10.0
    (1 ratings)
    7.0
    (1 ratings)
    User Testimonials
    AWS Data PipelineSybase Event Stream Processor (discontinued)
    Likelihood to Recommend
    Amazon AWS
    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
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    Discontinued Products
    These complex event processing platforms have the ability to process to multiple streams of data with low latency and ability to scale up well. It provides the ability to analyze streaming data real time and establish/investigate patterns with this streaming data and also deals with high-speed data very well.
    Incentivized
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    Pros
    Amazon AWS
    • Helps you easily create complex data processing workloads
    • Fault tolerant
    • Highly available
    Incentivized
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    Discontinued Products
    • Ability to capture data and investigate data for pattern fairly quickly
    • Integrates well with Sybase database
    • Ability to do data modeling
    Incentivized
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    Cons
    Amazon AWS
    • Pipeline Stuck in Pending Status
    • Pipeline Component Stuck in Waiting for Runner Status
    • EMR Cluster Fails With Error
    Incentivized
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    Discontinued Products
    • Configuring data streams could be made more intuitive to users
    • Sometimes debugger tools are very slow
    Incentivized
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    Alternatives Considered
    Amazon AWS
    AWS data pipelines are easy to use over data factory for data engineers
    Incentivized
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    Discontinued Products
    IBM WebSphere business elements which was more complex to set up and also more expensive especially in a large SAP environment, We were also looking to get ramped up with the product with minimal learning curve especially with good documentation available to get started with the product as well as the ability to deploy and maintain with relative ease on an ongoing basis.
    Incentivized
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    Return on Investment
    Amazon AWS
    • Easy to use
    • Data engineers are able to create the data pipelines quickly and effectively
    • Scalable and Fault tolerant
    Incentivized
    Read full review
    Discontinued Products
    • A positive impact on real-time analysis and patterns from streaming data
    • Good speed
    • Good documentation for setup
    • No negative impact
    Incentivized
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