BigML vs. Amazon Machine Learning

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What is BigML?

BigML provides a hosted machine learning platform for advanced analytics. Through BigML's intuitive interface and/or its open API and bindings in several languages, analysts, data scientists and developers alike can quickly build fully actionable predictive models and clusters that can easily be incorporated into related applications and services.

What is Amazon Machine Learning?

This new AWS service helps you to use all of that data you’ve been collecting to improve the quality of your decisions. You can build and fine-tune predictive models using large amounts of data, and then use Amazon Machine Learning to make predictions (in batch mode or in real-time) at scale. You can benefit from machine learning even if you don’t have an advanced degree in statistics or the desire to setup, run, and maintain your own processing and storage infrastructure.

Want advice about which of these to choose?Ask the StackShare community!


Why do developers choose BigML?
Why do you like BigML?

Why do developers choose Amazon Machine Learning?
Why do you like Amazon Machine Learning?


What are the cons of using BigML?
No Cons submitted yet for BigML
Downsides of BigML?

What are the cons of using Amazon Machine Learning?
No Cons submitted yet for Amazon Machine Learning
Downsides of Amazon Machine Learning?


How much does BigML cost?
BigML Pricing
How much does Amazon Machine Learning cost?


What companies use BigML?
2 companies on StackShare use BigML
What companies use Amazon Machine Learning?
10 companies on StackShare use Amazon Machine Learning

What are some alternatives to BigML and Amazon Machine Learning?

  • Azure Machine Learning - A fully-managed cloud service for predictive analytics
  • Amazon SageMaker - Accelerated Machine Learning
  • NanoNets - Machine learning API with less data
  • FloydHub - Heroku for Deep Learning

See all alternatives to BigML

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