What users are saying about
3 Ratings
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Score 7 out of 100
219 Ratings
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Score 8.8 out of 100

Feature Set Ratings

    Platform Connectivity

    Caffe Deep Learning Framework

    Feature Set Not Supported
    N/A
    7.0

    IBM Watson Studio

    70%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 4/4 features

    Connect to Multiple Data Sources

    N/A
    0 Ratings
    7.5
    75%
    21 Ratings

    Extend Existing Data Sources

    N/A
    0 Ratings
    7.1
    71%
    21 Ratings

    Automatic Data Format Detection

    N/A
    0 Ratings
    7.1
    71%
    20 Ratings

    MDM Integration

    N/A
    0 Ratings
    6.5
    65%
    14 Ratings

    Data Exploration

    Caffe Deep Learning Framework

    Feature Set Not Supported
    N/A
    7.6

    IBM Watson Studio

    76%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 2/2 features

    Visualization

    N/A
    0 Ratings
    7.5
    75%
    21 Ratings

    Interactive Data Analysis

    N/A
    0 Ratings
    7.6
    76%
    21 Ratings

    Data Preparation

    Caffe Deep Learning Framework

    Feature Set Not Supported
    N/A
    7.4

    IBM Watson Studio

    74%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 4/4 features

    Interactive Data Cleaning and Enrichment

    N/A
    0 Ratings
    7.2
    72%
    21 Ratings

    Data Transformations

    N/A
    0 Ratings
    7.5
    75%
    20 Ratings

    Data Encryption

    N/A
    0 Ratings
    7.3
    73%
    19 Ratings

    Built-in Processors

    N/A
    0 Ratings
    7.6
    76%
    20 Ratings

    Platform Data Modeling

    Caffe Deep Learning Framework

    Feature Set Not Supported
    N/A
    7.3

    IBM Watson Studio

    73%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 4/4 features

    Multiple Model Development Languages and Tools

    N/A
    0 Ratings
    7.4
    74%
    20 Ratings

    Automated Machine Learning

    N/A
    0 Ratings
    7.1
    71%
    21 Ratings

    Single platform for multiple model development

    N/A
    0 Ratings
    7.3
    73%
    21 Ratings

    Self-Service Model Delivery

    N/A
    0 Ratings
    7.3
    73%
    19 Ratings

    Model Deployment

    Caffe Deep Learning Framework

    Feature Set Not Supported
    N/A
    6.5

    IBM Watson Studio

    65%
    IBM Watson Studio on Cloud Pak for Data ranks higher in 2/2 features

    Flexible Model Publishing Options

    N/A
    0 Ratings
    7.0
    70%
    21 Ratings

    Security, Governance, and Cost Controls

    N/A
    0 Ratings
    5.9
    59%
    21 Ratings

    Attribute Ratings

    • IBM Watson Studio on Cloud Pak for Data is rated higher in 1 area: Likelihood to Recommend

    Likelihood to Recommend

    4.0

    Caffe Deep Learning Framework

    40%
    1 Rating
    7.5

    IBM Watson Studio

    75%
    64 Ratings

    Likelihood to Renew

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Usability

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    9.6

    IBM Watson Studio

    96%
    2 Ratings

    Availability

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    2 Ratings

    Performance

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    2 Ratings

    Support Rating

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    2 Ratings

    In-Person Training

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Online Training

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Implementation Rating

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    7.3

    IBM Watson Studio

    73%
    2 Ratings

    Product Scalability

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Vendor post-sale

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    7.3

    IBM Watson Studio

    73%
    1 Rating

    Vendor pre-sale

    Caffe Deep Learning Framework

    N/A
    0 Ratings
    8.2

    IBM Watson Studio

    82%
    1 Rating

    Likelihood to Recommend

    Open Source

    Caffe is only appropriate for some new beginners who don't want to write any lines of code, just want to use existing models for image recognition, or have some taste of the so-called Deep Learning.
    Read full review

    IBM

    If you are a small company with insufficient funding, it would be better to go with open source resources because they are free and do the same job. If you are a bigger company with enough resources, then IBM Watson Studio could be better in terms of security and accessibility.
    Read full review

    Pros

    Open Source

    • Caffe is good for traditional image-based CNN as this was its original purpose.
    Read full review

    IBM

    • Integration of IBM Watson APIs such as speech to text, image recognition, personality insights, etc.
    • SPSS modeler and neural network model provide no-code environments for data scientists to build pipelines quickly.
    • Enforced best-practices set up POCs for deployment in production with a minimum of re-work.
    • Estimator validation lets data scientists test and prove different models.
    Read full review

    Cons

    Open Source

    • Caffe's model definition - static configuration files are really painful. Maintaining big configuration files with so many parameters and details of many layers can be a really challenging task.
    • Besides imagine and vision (CNN), Caffe also gradually adds some other NN architecture support. It doesn't play well in a recurrent domain, so we have to say variety is a problem.
    • Caffe's deployment for production is not easy. The community support and project development all mean it is almost fading out of the market.
    • The learning curve is quite steep. Although TensorFlow's is not easy to master either, the reward for Caffe is much less than the TensorFlow can offer.
    Read full review

    IBM

    • The cost is steep and so only companies with resources can afford it
    • It will be nice to have Chinese versions so that Chinese engineers can also use it easily
    • It takes a while to learn how to input different kinds of skin defects for detection
    Read full review

    Pricing Details

    Caffe Deep Learning Framework

    Starting Price

    Editions & Modules

    Caffe Deep Learning Framework editions and modules pricing
    EditionModules

    Footnotes

      Offerings

      Free Trial
      Free/Freemium Version
      Premium Consulting/Integration Services

      Entry-level set up fee?

      No setup fee

      Additional Details

      IBM Watson Studio

      Starting Price

      Editions & Modules

      IBM Watson Studio editions and modules pricing
      EditionModules

      Footnotes

        Offerings

        Free Trial
        Free/Freemium Version
        Premium Consulting/Integration Services

        Entry-level set up fee?

        No setup fee

        Additional Details

        Likelihood to Renew

        Open Source

        No answers on this topic

        IBM

        because we find out that DSX results have improved our approach to the whole subject (data, models, procedures)
        Read full review

        Usability

        Open Source

        No answers on this topic

        IBM

        The UI flawlessly merges this offering by providing a neat, minimal, responsive interface
        Read full review

        Reliability and Availability

        Open Source

        No answers on this topic

        IBM

        From time to time there are services unavailable, but we have been always informed before and they got back to work sooner than expected
        Read full review

        Performance

        Open Source

        No answers on this topic

        IBM

        Never had slow response even on our very busy network
        Read full review

        Support Rating

        Open Source

        No answers on this topic

        IBM

        I received answers mostly at once and got answered even further my question: they gave me interesting points of view and suggestion for deepening in the learning path
        Read full review

        In-Person Training

        Open Source

        No answers on this topic

        IBM

        The trainers on the job are very smart with solutions and very able in teaching
        Read full review

        Online Training

        Open Source

        No answers on this topic

        IBM

        The Platform is very handy and suggests further steps according my previous interests
        Read full review

        Implementation Rating

        Open Source

        No answers on this topic

        IBM

        It surprised us with unpredictable case of use and brand new points of view
        Read full review

        Alternatives Considered

        Open Source

        TensorFlow is kind of low-level API most suited for those developers who like to control the details, while Keras provides some kind of high-level API for those users who want to boost their project or experiment by reusing most of the existing architecture or models and the accumulated best practice. However, Caffe isn't like either of them so the position for the user is kind of embarrassing.
        Read full review

        IBM

        The main reason I personally changed over from Azure ML Studio is because it lacked any support for significant custom modelling with packages and services such as TensorFlow, scikit-learn, Microsoft Cognitive Toolkit and Spark ML. IBM Watson Studio provides these services and does so in a well integrated and easy to use fashion making it a preferable service over the other services that I have personally used.
        Read full review

        Scalability

        Open Source

        No answers on this topic

        IBM

        It helped us in getting from 0 to DSX without getting lost
        Read full review

        Return on Investment

        Open Source

        • Since we stopped using Caffe before it can reach the production phase, there is no clear ROI that can be defined.
        Read full review

        IBM

        • Could instantly show data driven insights to drive 20% incremental revenue over existing results
        • Still don't have a real use case for unstructured data like twitter feed
        • Some of the insights around user actions have driven new projects to automate mundane tasks
        Read full review

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