Amazon EMR vs DataTorrent [EOL] comparison

Cancel
You must select at least 2 products to compare!
Amazon Web Services (AWS) Logo
2,198 views|1,882 comparisons
DataTorrent Logo
views| comparisons
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Amazon EMR and DataTorrent [EOL] based on real PeerSpot user reviews.

Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: March 2024).
765,234 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pricing and Cost Advice
  • "You don't need to pay for licensing on a yearly or monthly basis, you only pay for what you use, in terms of underlying instances."
  • "The cost of Amazon EMR is very high."
  • "The price of the solution is expensive."
  • "Amazon EMR's price is reasonable."
  • "There is a small fee for the EMR system, but major cost components are the underlying infrastructure resources which we actually use."
  • "There is no need to pay extra for third-party software."
  • "Amazon EMR is not very expensive."
  • "The product is not cheap, but it is not expensive."
  • More Amazon EMR Pricing and Cost Advice →

    Information Not Available
    report
    Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
    765,234 professionals have used our research since 2012.
    Questions from the Community
    Top Answer:Amazon EMR is a good solution that can be used to manage big data.
    Top Answer:As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data.
    Ask a question

    Earn 20 points

    Ranking
    3rd
    out of 22 in Hadoop
    Views
    2,198
    Comparisons
    1,882
    Reviews
    12
    Average Words per Review
    346
    Rating
    7.8
    Unranked
    In Hadoop
    Comparisons
    Also Known As
    Amazon Elastic MapReduce
    Learn More
    Overview
    Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.
    Information Not Available
    Sample Customers
    Yelp
    GE Predix Cloud, PubMatic, Capital One, SilverLink Sensor Network
    Top Industries
    REVIEWERS
    Computer Software Company27%
    Media Company18%
    Wholesaler/Distributor18%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company13%
    Manufacturing Company8%
    Educational Organization6%
    No Data Available
    Company Size
    REVIEWERS
    Small Business26%
    Midsize Enterprise26%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise72%
    No Data Available
    Buyer's Guide
    Hadoop
    March 2024
    Find out what your peers are saying about Cloudera, Apache, Amazon and others in Hadoop. Updated: March 2024.
    765,234 professionals have used our research since 2012.

    Amazon EMR is ranked 3rd in Hadoop with 20 reviews while DataTorrent [EOL] doesn't meet the minimum requirements to be ranked in Hadoop. Amazon EMR is rated 7.8, while DataTorrent [EOL] is rated 0.0. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". On the other hand, Amazon EMR is most compared with Cloudera Distribution for Hadoop, Snowflake, Amazon Redshift, Azure Data Factory and Apache Spark, whereas DataTorrent [EOL] is most compared with .

    See our list of best Hadoop vendors.

    We monitor all Hadoop reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.