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DataOps.live vs. IBM StreamSets

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    DataOps.live

    N/A
    Mid-Size Companies (51-1,000 employees)
    The DataOps.live SaaS platform is a solution for Snowflake environment management, end-to-end orchestration, CI/CD, automated testing & observability, and code management, wrapped in a developer interface. The solution aims to drive faster development, parallel collaboration, developer efficiencies, data assurance, simplified orchestration, and data product lifecycle management.

    $1,000

    per month per user

    IBM StreamSets

    Score8.2 out of 10
    N/AIBM® StreamSets enables users to create and manage smart streaming data pipelines through a graphical interface, facilitating data integration across hybrid and multicloud environments. IBM StreamSets can support millions of data pipelines for analytics, applications and hybrid integration.N/A
    Pricing
    DataOps.liveIBM StreamSets
    Editions & Modules
    OPERATOR USERS
    $500
    per month 5 Users
    DEVELOPER USERS
    $1,000
    per month per user
    No answers on this topic
    Offerings
    Pricing Offerings
    DataOps.liveIBM StreamSets
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    NoNo
    Entry-level Setup FeeOptionalNo setup fee
    Additional DetailsDataOps subscriptions are based on packs of users. Developer user licenses have full access to all features, and are intended for project maintainers and developers. For all other users, such as project management, business analysis, etc. DataOps offers packs of 5 operator users.
    More Pricing Information
    User Ratings
    DataOps.liveIBM StreamSets
    Likelihood to Recommend
    -
    (0 ratings)
    9.0
    (1 ratings)
    User Testimonials
    DataOps.liveIBM StreamSets
    Likelihood to Recommend
    DataOps.live
    No answers on this topic
    IBM
    When you are dealing with a data warehouse and want to find an easy way to integrate applications and expose data in real-time, then IBM StreamSets is the best tool to go for. I'm using it for the same purpose in my applications. This tool will be well-suited for someone with a proper technical background. Though IBM StreamSets UI is mostly drag and drop, advanced configurations require technical expertise or support to do the initial setup.
    Incentivized
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    Pros
    DataOps.live
    No answers on this topic
    IBM
    • It makes building data pipelines quite super intuitive even for non coders.
    • Ir also handles real time data ingestion effortlessly so I always have up to date information for my reports.
    • It's great at monitoring data quality as well.
    Incentivized
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    Cons
    DataOps.live
    No answers on this topic
    IBM
    • Where the person's skillsets in data analysis is not of an expert.
    • Data monitoring and analysis.
    • Customer data for better customer acquisition
    Incentivized
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    Likelihood to Renew
    DataOps.live
    No answers on this topic
    IBM
    IBM Stream sets has been a wonderful addition to our technology stack. It has helped in some of our initiatives such as data engineering, data integration for not only external customers but also for internal purposes. The tool has also helped on our use cases related to streaming data. Moving to another tool would require significant amount of work and time.
    Incentivized
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    Usability
    DataOps.live
    No answers on this topic
    IBM
    The StreamSets platform is very easy to use and the interface is extremely intuitive. The drag-and-drop, low-code design makes it accessible for teams with varying technical skills, allowing us to quickly connect sources, define transformations, and deploy pipelines without heavy coding. StreamSets allows us to get started quickly and not have to worry about our pipelines breaking once they're built.
    Incentivized
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    Support Rating
    DataOps.live
    No answers on this topic
    IBM
    Streamsets support has improved a lot in the last couple of years. We had some challenges in the beginning with support, but now the quality of the support and the responsiveness to tickets are better. We have contacted support multiple times when it came to scenarios where the system was slow or the output as not as we expected
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    Implementation Rating
    DataOps.live
    No answers on this topic
    IBM
    I was not involved in the implementation
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    Alternatives Considered
    DataOps.live
    No answers on this topic
    IBM
    the IBM solution can be considered a good player in the specific perimeter of application because its main functionalities are working well, are easy to use, and complete. it allows also a good degree of freedom when it comes to personalization of pipelines and streams, and customization of data ingestion methodologies.
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    Return on Investment
    DataOps.live
    No answers on this topic
    IBM
    • it reduced the time I spent managing and updating pipelines when data formats changed
    • it saved us from building everything from scratch by making data movement between systems easier
    • it helps scale workflows as data volume grows, without much extra effort
    Incentivized
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    ScreenShots

    DataOps.live Screenshots

    Screenshot of DataOps.Live Pipeline Example