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IBM InfoSphere Information Server vs. Weights & Biases

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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM InfoSphere Information Server

    Score10 out of 10
    N/AIBM InfoSphere Information Server is a data integration platform used to understand, cleanse, monitor and transform data. The offerings provide massively parallel processing (MPP) capabilities.N/A

    Weights & Biases

    Score10 out of 10
    N/AWeights & Biases helps machine learning teams build better models. Practitioners can debug, compare and reproduce their models — architecture, hyperparameters, git commits, model weights, GPU usage, datasets and predictions — and collaborate with their teammates.

    $50

    per month per user

    Pricing
    IBM InfoSphere Information ServerWeights & Biases
    Editions & Modules
    No answers on this topic
    Starter
    $50
    per month per user
    Enterprise
    custom pricing
    Offerings
    Pricing Offerings
    IBM InfoSphere Information ServerWeights & Biases
    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
    Features
    IBM InfoSphere Information ServerWeights & Biases
    Data Source Connection
    Comparison of Data Source Connection features of IBM InfoSphere Information Server and Weights & Biases
    Feature
    IBM InfoSphere Information Server
    8.7
    4 Ratings
    4% above category average
    Weights & Biases
    -
    Ratings
    Connect to traditional data sources9.94 Ratings00 Ratings
    Connecto to Big Data and NoSQL7.54 Ratings00 Ratings
    Data Transformations
    Comparison of Data Transformations features of IBM InfoSphere Information Server and Weights & Biases
    Feature
    IBM InfoSphere Information Server
    9.6
    4 Ratings
    17% above category average
    Weights & Biases
    -
    Ratings
    Simple transformations10.04 Ratings00 Ratings
    Complex transformations9.24 Ratings00 Ratings
    Data Modeling
    Comparison of Data Modeling features of IBM InfoSphere Information Server and Weights & Biases
    Feature
    IBM InfoSphere Information Server
    8.0
    4 Ratings
    1% above category average
    Weights & Biases
    -
    Ratings
    Data model creation8.72 Ratings00 Ratings
    Metadata management7.74 Ratings00 Ratings
    Business rules and workflow8.44 Ratings00 Ratings
    Collaboration8.04 Ratings00 Ratings
    Testing and debugging7.14 Ratings00 Ratings
    Data Governance
    Comparison of Data Governance features of IBM InfoSphere Information Server and Weights & Biases
    Feature
    IBM InfoSphere Information Server
    9.7
    4 Ratings
    18% above category average
    Weights & Biases
    -
    Ratings
    Integration with data quality tools10.04 Ratings00 Ratings
    Integration with MDM tools9.53 Ratings00 Ratings
    Best Alternatives
    IBM InfoSphere Information ServerWeights & Biases
    Small Businesses
    Skyvia
    Score10 out of 10
    No answers on this topic
    Medium-sized Companies
    Informatica PowerCenter (legacy)
    Score9.3 out of 10
    No answers on this topic
    Enterprises
    SolarWinds Task Factory
    Score8.3 out of 10
    No answers on this topic
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM InfoSphere Information ServerWeights & Biases
    Likelihood to Recommend
    8.9
    (5 ratings)
    10.0
    (1 ratings)
    Likelihood to Renew
    8.0
    (1 ratings)
    -
    (0 ratings)
    User Testimonials
    IBM InfoSphere Information ServerWeights & Biases
    Likelihood to Recommend
    IBM
    Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.
    Read full review
    Weights & Biases
    No brainer to use it when doing ML experiments as it is very easy compared to any other open source tool. You don't have to host anything like in Tensorboard.
    Experiment details can be shared very easily with public using the reports
    Incentivized
    Read full review
    Pros
    IBM
    • IIS best for ETL ,not ELT , and many and diffrent source systems.
    • It also can process big data , unstuctured data
    • It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems
    Incentivized
    Read full review
    Weights & Biases
    • Metrics Logging
    • Hyperparmeters Sweeps
    • Model Artifcats
    Incentivized
    Read full review
    Cons
    IBM
    • I would be nice to have a new web development environment for DataStage.
    • Connectivity Packs such as Pack for SAP Application are a little pricey.
    • It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.
    Incentivized
    Read full review
    Weights & Biases
    • Dashboard lags when we log a lot of metrics
    • Improved support for matplotlib charts and documentation of wandb custom charts is not straghtforward
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    • Scale of implementation
    • IBM techsupport
    Incentivized
    Read full review
    Weights & Biases
    No answers on this topic
    Alternatives Considered
    IBM
    DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS
    Read full review
    Weights & Biases
    No answers on this topic
    Return on Investment
    IBM
    • Productivity of the development of integration processes.
    • Better documentation and governance.
    • Reduce training costs of various technologies.
    Read full review
    Weights & Biases
    • Made it very easy to track experiments
    • Track ML and Business Metrics improvements across experiments
    • Reproduce runs which is essential in ML modelling
    Incentivized
    Read full review
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