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32 Ratings
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Score 8.2 out of 100
This review does not include a rating.

Attribute Ratings

    Likelihood to Recommend

    7.9

    Azure Machine Learning

    79%
    4 Ratings

    Cloudera Altus (discontinued)

    N/A
    0 Ratings

    Likelihood to Renew

    7.0

    Azure Machine Learning

    70%
    1 Rating

    Cloudera Altus (discontinued)

    N/A
    0 Ratings

    Usability

    7.0

    Azure Machine Learning

    70%
    2 Ratings

    Cloudera Altus (discontinued)

    N/A
    0 Ratings

    Support Rating

    7.9

    Azure Machine Learning

    79%
    3 Ratings

    Cloudera Altus (discontinued)

    N/A
    0 Ratings

    Implementation Rating

    8.0

    Azure Machine Learning

    80%
    1 Rating

    Cloudera Altus (discontinued)

    N/A
    0 Ratings

    Likelihood to Recommend

    Microsoft

    For [a] data scientist require[d] to build a machine learning model, so he/she didn't worry about infrastructure to maintain it.
    All kind of feature[s] such as train, build, deploy and monitor the machine learning model available in a single suite.
    If someone has [their] own environment for ML studio, so there [it would] not [be] useful for them.
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    Cloudera

    No answers on this topic

    Pros

    Microsoft

    • User friendliness: This is by far the most user friendly tool I've seen in analytics. You don't need to know how to code at all! Just create a few blocks, connect a few lines and you are capable of running a boosted decision tree with a very high R squared!
    • Speed: Azure ML is a cloud based tool, so processing is not made with your computer, making the reliability and speed top notch!
    • Cost: If you don't know how to code, this is by far the cheapest machine learning tool out there. I believe it costs less than $15/month. If you know how to code, then R is free.
    • Connectivity: It is super easy to embed R or Python codes on Azure ML. So if you want to do more advanced stuff, or use a model that is not yet available on Azure ML, you can simply paste the code on R or Python there!
    • Microsoft environment: Many many companies rely on the Microsoft suite. And Azure ML connects perfectly with Excel, CSV and Access files.
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    Cloudera

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    Cons

    Microsoft

    • It would be great to have text tips that could ease new users to the platform, especially if an error shows up
    • Scenario-based documentation
    • Pre-processing of modules that had been previously run. Sometimes they need to be re-run for no apparent reason
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    Cloudera

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    Pricing Details

    Azure Machine Learning

    Starting Price

    $0 per month

    Editions & Modules

    Azure Machine Learning editions and modules pricing
    EditionModules
    Studio Pricing - Free$0.001
    Studio Pricing - Standard$9.992
    Production Web API - Dev/Test$0.003
    Production Web API - Standard S1$100.134
    Production Web API - Standard S2$1000.065
    Production Web API - Standard S3$9999.986

    Footnotes

    1. per month
    2. per ML studio workspace/per month
    3. per month
    4. per month
    5. per month
    6. per month

    Offerings

    Free Trial
    Free/Freemium Version
    Premium Consulting/Integration Services

    Entry-level set up fee?

    No setup fee

    Additional Details

    Cloudera Altus (discontinued)

    Starting Price

    Editions & Modules

    Cloudera Altus (discontinued) 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

      Usability

      Microsoft

      Easy and fastest way to develop, test, deploy and monitor the machine learning model.
      - Easy to load the data set
      -Drag and drop the process of the Machine learning life cycle.
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      Cloudera

      No answers on this topic

      Support Rating

      Microsoft

      Support is nonexistent. It's very frustrating to try and find someone to actually talk to. The robot chatbots are just not well trained.
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      Cloudera

      No answers on this topic

      Implementation Rating

      Microsoft

      Not sure
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      Cloudera

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      Alternatives Considered

      Microsoft

      It is easier to learn, it has a very cost effective license for use, it has native build and created for Azure cloud services, and that makes it perfect when compared against the alternatives. As a Microsoft tool, it has been built to contain many visual features and improved usability even for non-specialist users.
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      Cloudera

      No answers on this topic

      Return on Investment

      Microsoft

      • Productivity: Instead of coding and recoding, Azure ML helped my organization to get to meaningful results faster;
      • Cost: Azure ML can save hundreds (or even thousands) of dollars for an organization, since the license costs around $15/month per seat.
      • Focus on insights and not on statistics: Since running a model is so easy, analysts can focus more on recommendations and insights, rather than statistical details
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      Cloudera

      No answers on this topic

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