Amazon Forecast vs. Caffe Deep Learning Framework

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Forecast
Score 8.6 out of 10
N/A
Amazon Forecast is a fully managed service that uses machine learning to deliver accurate forecasts. Amazon Forecast can use historical time series data (e.g., price, promotions, economic performance metrics) to create accurate forecasts for businesses.N/A
Caffe Deep Learning Framework
Score 7.0 out of 10
N/A
Caffe is a deep learning framework made with expression, speed, and modularity in mind. It is developed by Berkeley AI Research and by community contributors.N/A
Pricing
Amazon ForecastCaffe Deep Learning Framework
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Amazon ForecastCaffe Deep Learning Framework
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Amazon ForecastCaffe Deep Learning Framework
Top Pros
Top Cons
Best Alternatives
Amazon ForecastCaffe Deep Learning Framework
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Posit
Posit
Score 9.1 out of 10
Posit
Posit
Score 9.1 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon ForecastCaffe Deep Learning Framework
Likelihood to Recommend
8.6
(5 ratings)
4.0
(1 ratings)
User Testimonials
Amazon ForecastCaffe Deep Learning Framework
Likelihood to Recommend
Amazon AWS
Amazon Forecast is well suited when you are a company that's looking for a simple and effective solution in terms of understanding and predicting your resources planning in the AWS. However, it's also good to know that the cost that is incurred is higher and not suited for anything other than the AWS solutions integrations.
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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.
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Pros
Amazon AWS
  • Built-in datasets
  • Accuracy
  • Machine learning
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Open Source
  • Caffe is good for traditional image-based CNN as this was its original purpose.
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Cons
Amazon AWS
  • Not easy for beginners as it requires insights to set the forecast
  • Much more expensive if considered for small businesses
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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.
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Alternatives Considered
Amazon AWS
Cost-effective and user-friendly.
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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.
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Return on Investment
Amazon AWS
  • Helped in planning the resources required.
  • ML and AI delivered near perfect forecasts.
  • Features and the details available for the cost is not enough.
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Open Source
  • Since we stopped using Caffe before it can reach the production phase, there is no clear ROI that can be defined.
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