Alternatives to Firebase Predictions logo

Alternatives to Firebase Predictions

Azure Machine Learning, Amazon Machine Learning, Amazon SageMaker, Algorithms.io, and Amazon Elastic Inference are the most popular alternatives and competitors to Firebase Predictions.
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What is Firebase Predictions and what are its top alternatives?

Firebase Predictions uses the power of Google’s machine learning to create dynamic user groups based on users’ predicted behavior.
Firebase Predictions is a tool in the Machine Learning as a Service category of a tech stack.

Firebase Predictions alternatives & related posts

Azure Machine Learning logo

Azure Machine Learning

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A fully-managed cloud service for predictive analytics
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    Azure Machine Learning logo
    Azure Machine Learning
    VS
    Firebase Predictions logo
    Firebase Predictions
    Amazon Machine Learning logo

    Amazon Machine Learning

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    Visualization tools and wizards that guide you through the process of creating ML models w/o having to learn...
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      Amazon Machine Learning logo
      Amazon Machine Learning
      VS
      Firebase Predictions logo
      Firebase Predictions

      related Amazon Machine Learning posts

      Julien DeFrance
      Julien DeFrance
      Principal Software Engineer at Tophatter · | 2 upvotes · 24.8K views
      atSmartZipSmartZip
      Serverless
      Serverless
      AWS Lambda
      AWS Lambda
      Amazon Machine Learning
      Amazon Machine Learning
      Amazon SageMaker
      Amazon SageMaker
      #PaaS
      #GCP
      #FaaS

      Which #IaaS / #PaaS to chose? Not all #Cloud providers are created equal. As you start to use one or the other, you'll build around very specific services that don't have their equivalent elsewhere.

      Back in 2014/2015, this decision I made for SmartZip was a no-brainer and #AWS won. AWS has been a leader, and over the years demonstrated their capacity to innovate, and reducing toil. Like no other.

      Year after year, this kept on being confirmed, as they rolled out new (managed) services, got into Serverless with AWS Lambda / FaaS And allowed domains such as #AI / #MachineLearning to be put into the hands of every developers thanks to Amazon Machine Learning or Amazon SageMaker for instance.

      Should you compare with #GCP for instance, it's not quite there yet. Building around these managed services, #AWS allowed me to get my developers on a whole new level. Where they know what's under the hood. Where they know they have these services available and can build around them. Where they care and are responsible for operations and security and deployment of what they've worked on.

      See more
      Amazon SageMaker logo

      Amazon SageMaker

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      55
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      Accelerated Machine Learning
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        Amazon SageMaker logo
        Amazon SageMaker
        VS
        Firebase Predictions logo
        Firebase Predictions

        related Amazon SageMaker posts

        Julien DeFrance
        Julien DeFrance
        Principal Software Engineer at Tophatter · | 2 upvotes · 24.8K views
        atSmartZipSmartZip
        Serverless
        Serverless
        AWS Lambda
        AWS Lambda
        Amazon Machine Learning
        Amazon Machine Learning
        Amazon SageMaker
        Amazon SageMaker
        #PaaS
        #GCP
        #FaaS

        Which #IaaS / #PaaS to chose? Not all #Cloud providers are created equal. As you start to use one or the other, you'll build around very specific services that don't have their equivalent elsewhere.

        Back in 2014/2015, this decision I made for SmartZip was a no-brainer and #AWS won. AWS has been a leader, and over the years demonstrated their capacity to innovate, and reducing toil. Like no other.

        Year after year, this kept on being confirmed, as they rolled out new (managed) services, got into Serverless with AWS Lambda / FaaS And allowed domains such as #AI / #MachineLearning to be put into the hands of every developers thanks to Amazon Machine Learning or Amazon SageMaker for instance.

        Should you compare with #GCP for instance, it's not quite there yet. Building around these managed services, #AWS allowed me to get my developers on a whole new level. Where they know what's under the hood. Where they know they have these services available and can build around them. Where they care and are responsible for operations and security and deployment of what they've worked on.

        See more
        Algorithms.io logo

        Algorithms.io

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        Machine learning as a service for streaming data from connected devices.
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          Algorithms.io logo
          Algorithms.io
          VS
          Firebase Predictions logo
          Firebase Predictions
          Amazon Elastic Inference logo

          Amazon Elastic Inference

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          GPU-Powered Deep Learning Inference Acceleration
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            Amazon Elastic Inference logo
            Amazon Elastic Inference
            VS
            Firebase Predictions logo
            Firebase Predictions
            NanoNets logo

            NanoNets

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            Machine learning API with less data
            NanoNets logo
            NanoNets
            VS
            Firebase Predictions logo
            Firebase Predictions
            FloydHub logo

            FloydHub

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            Heroku for Deep Learning
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              FloydHub logo
              FloydHub
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              Firebase Predictions logo
              Firebase Predictions
              Amazon Personalize logo

              Amazon Personalize

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              Real-time personalization and recommendation
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                Amazon Personalize logo
                Amazon Personalize
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                Firebase Predictions logo
                Firebase Predictions