Altiscale vs Amazon EMR comparison

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Executive Summary

We performed a comparison between Altiscale and Amazon EMR based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop.
To learn more, read our detailed Hadoop Report (Updated: April 2024).
768,578 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
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  • "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 →

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    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.
    Ranking
    21st
    out of 22 in Hadoop
    Views
    25
    Comparisons
    9
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    3rd
    out of 22 in Hadoop
    Views
    2,149
    Comparisons
    1,834
    Reviews
    12
    Average Words per Review
    346
    Rating
    7.8
    Comparisons
    Also Known As
    Amazon Elastic MapReduce
    Learn More
    Overview

    Liberate your data, by making it possible for any data analyst in your company to access and rapidly analyze data in the Hadoop data lake, without burdening your IT team. The Altiscale Insight Cloud handles both real-time and batch analytics, and connects easily to your favorite BI solutions.

    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.
    Sample Customers
    Glu Mobile, Airpush, Devicescape, Visible Measures
    Yelp
    Top Industries
    No Data Available
    REVIEWERS
    Computer Software Company27%
    Media Company18%
    Wholesaler/Distributor18%
    Comms Service Provider9%
    VISITORS READING REVIEWS
    Financial Services Firm23%
    Computer Software Company13%
    Manufacturing Company8%
    Educational Organization6%
    Company Size
    No Data Available
    REVIEWERS
    Small Business26%
    Midsize Enterprise26%
    Large Enterprise47%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise11%
    Large Enterprise72%
    Buyer's Guide
    Hadoop
    April 2024
    Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: April 2024.
    768,578 professionals have used our research since 2012.

    Altiscale is ranked 21st in Hadoop while Amazon EMR is ranked 3rd in Hadoop with 20 reviews. Altiscale is rated 0.0, while Amazon EMR is rated 7.8. On the other hand, the top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". Altiscale is most compared with , whereas Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark.

    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.