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Amazon Machine Learning VS Google Cloud Dataproc

Compare Amazon Machine Learning VS Google Cloud Dataproc and see what are their differences

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  3. » Reviews
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Amazon Machine Learning logo Amazon Machine Learning

Machine learning made easy for developers of any skill level

Google Cloud Dataproc logo Google Cloud Dataproc

Managed Apache Spark and Apache Hadoop service which is fast, easy to use, and low cost
  • Amazon Machine Learning Landing page
    Landing page //
    2023-03-13
  • Google Cloud Dataproc Landing page
    Landing page //
    2023-10-09

Amazon Machine Learning videos

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Introduction to Amazon Machine Learning - Predictive Analytics on AWS

More videos:

  • Tutorial - AWS Machine Learning Tutorial | Amazon Machine Learning | AWS Training | Edureka

Google Cloud Dataproc videos

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Dataproc

Category Popularity

0-100% (relative to Amazon Machine Learning and Google Cloud Dataproc)

Amazon Machine Learning

Google Cloud Dataproc

AI
100 100%
AI
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
Developer Tools
100 100%
Developer Tools
0% 0
Big Data
0 0%
Big Data
100% 100

User comments

Share your experience with using Amazon Machine Learning and Google Cloud Dataproc. For example, how are they different and which one is better?
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Social recommendations and mentions

Based on our record, Google Cloud Dataproc should be more popular than Amazon Machine Learning. It has been mentiond 3 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Amazon Machine Learning mentions (2)

  • Rant + Planning to learn full stack development
    There’s also the ML as a service (MLaaS) movement that lowers the barrier for common ML capabilities (eg image object detection and audio transcription). Basically, you use APIs. See: https://aws.amazon.com/machine-learning/. Source: over 1 year ago
  • Ask the Experts: AWS Data Science and ML Experts - Mar 9th @ 8AM ET / 1PM GMT!
    Do you have questions about Data Science and ML on AWS - https://aws.amazon.com/machine-learning/. Source: about 3 years ago

Google Cloud Dataproc mentions (3)

  • Connecting IPython notebook to spark master running in different machines
    I have also a spark cluster created with google cloud dataproc. Source: about 1 year ago
  • Why we don’t use Spark
    Specifically, we heavily rely on managed services from our cloud provider, Google Cloud Platform (GCP), for hosting our data in managed databases like BigTable and Spanner. For data transformations, we initially heavily relied on DataProc - a managed service from Google to manage a Spark cluster. - Source: dev.to / about 2 years ago
  • Data processing issue
    With that, the best way to maximize processing and minimize time is to use Dataflow or Dataproc depending on your needs. These systems are highly parallel and clustered, which allows for much larger processing pipelines that execute quickly. Source: over 2 years ago

What are some alternatives?

When comparing Amazon Machine Learning and Google Cloud Dataproc, you can also consider the following products

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

Amazon EMR - Amazon Elastic MapReduce is a web service that makes it easy to quickly process vast amounts of data.

Lobe - Visual tool for building custom deep learning models

Google BigQuery - A fully managed data warehouse for large-scale data analytics.

Apple Machine Learning Journal - A blog written by Apple engineers

HortonWorks Data Platform - The Hortonworks Data Platform is a 100% open source distribution of Apache Hadoop that is truly...

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