Amazon Machine Learning vs Amazon SageMaker vs Azure Machine Learning

Need advice about which tool to choose?Ask the StackShare community!

Amazon Machine Learning

141
216
+ 1
0
Amazon SageMaker

193
216
+ 1
0
Azure Machine Learning

196
283
+ 1
0
Get Advice from developers at your company using Private StackShare. Sign up for Private StackShare.
Learn More

Sign up to add or upvote prosMake informed product decisions

Sign up to add or upvote consMake informed product decisions

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.

What is Amazon SageMaker?

A fully-managed service that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale.

What is Azure Machine Learning?

Azure Machine Learning is a fully-managed cloud service that enables data scientists and developers to efficiently embed predictive analytics into their applications, helping organizations use massive data sets and bring all the benefits of the cloud to machine learning.

Need advice about which tool to choose?Ask the StackShare community!

What companies use Amazon Machine Learning?
What companies use Amazon SageMaker?
What companies use Azure Machine Learning?

Sign up to get full access to all the companiesMake informed product decisions

What tools integrate with Amazon Machine Learning?
What tools integrate with Amazon SageMaker?
What tools integrate with Azure Machine Learning?
    No integrations found

    Sign up to get full access to all the tool integrationsMake informed product decisions

    What are some alternatives to Amazon Machine Learning, Amazon SageMaker, and Azure Machine Learning?
    TensorFlow
    TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
    Apache Spark
    Spark is a fast and general processing engine compatible with Hadoop data. It can run in Hadoop clusters through YARN or Spark's standalone mode, and it can process data in HDFS, HBase, Cassandra, Hive, and any Hadoop InputFormat. It is designed to perform both batch processing (similar to MapReduce) and new workloads like streaming, interactive queries, and machine learning.
    RapidMiner
    It is a software platform for data science teams that unites data prep, machine learning, and predictive model deployment.
    Algorithms.io
    Build And Run Predictive Applications For Streaming Data From Applications, Devices, Machines and Wearables
    Amazon Elastic Inference
    Amazon Elastic Inference allows you to attach low-cost GPU-powered acceleration to Amazon EC2 and Amazon SageMaker instances to reduce the cost of running deep learning inference by up to 75%. Amazon Elastic Inference supports TensorFlow, Apache MXNet, and ONNX models, with more frameworks coming soon.
    See all alternatives