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Hitachi Ops Center Protector vs. IBM Data Replication

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Hitachi Ops Center Protector

    Score7 out of 10
    N/AHitachi Ops Center Protector is a solution that helps simplify the creation and management of policy-based modern data protection and copy data management workflows.N/A

    IBM Data Replication

    Score8.8 out of 10
    N/AThe IBM Data Replication portfolio provides log based change data capture with transactional integrity to support big data integration and consolidation, warehousing and analytics initiatives at scale.N/A
    Pricing
    Hitachi Ops Center ProtectorIBM Data Replication
    Editions & Modules
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    Offerings
    Pricing Offerings
    Hitachi Ops Center ProtectorIBM Data Replication
    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
    Hitachi Ops Center ProtectorIBM Data Replication
    Small Businesses
    No answers on this topic
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    Medium-sized Companies
    Qlik Replicate
    Score8.4 out of 10
    Qlik Replicate
    Score8.4 out of 10
    Enterprises
    Qlik Replicate
    Score8.4 out of 10
    Qlik Replicate
    Score8.4 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    Hitachi Ops Center ProtectorIBM Data Replication
    Likelihood to Recommend
    -
    (0 ratings)
    10.0
    (1 ratings)
    User Testimonials
    Hitachi Ops Center ProtectorIBM Data Replication
    Likelihood to Recommend
    Hitachi Vantara
    No answers on this topic
    IBM
    IBM InfoSphere Data Replication replication allows work on the daily operation and analyzes the replicated data in real-time with no downgrade of performance. This happens thanks to the incremental data load using the log files instead of querying the database for any changes. It serves as an online backup of the database uploading the data to the cloud in real-time.
    Incentivized
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    Pros
    Hitachi Vantara
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    IBM
    • Performance to detect changes using Incremental Data Delivery with logs.
    • Update data in the cloud in real time.
    • Saves data in clusters using Apache Hadoop
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    Cons
    Hitachi Vantara
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    IBM
    • Better documentation and examples of Console and API.
    • Integration with machine learning to analyze the data.
    • Examples of how to replicate data from multiple sources and databases to one data lake.
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    Return on Investment
    Hitachi Vantara
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    IBM
    • Analize the daily data in real time using data lakes and Machine Learning.
    • Performance of the replication without affecting the relational database of the applications.
    • Use of Apache Hadoop for data clustering improving performance.
    Incentivized
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