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Amazon EMR vs Qubole Data Services comparison

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2,067 views|1,719 comparisons
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194 views|153 comparisons
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Buyer's Guide
Hadoop
June 2022
Find out what your peers are saying about Apache, Cloudera, Amazon and others in Hadoop. Updated: June 2022.
610,336 professionals have used our research since 2012.
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."
  • More Amazon EMR Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The initial setup is pretty straightforward.
    Top Answer:The price of the solution may be a bit more than other competitors, such as Microsoft.
    Top Answer:The dashboard management could be better. Right now, it's lacking a bit. I'd like more of a remote connection between my computer and the solution. We have multi-factor authentication, and at one… more »
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    Ranking
    3rd
    out of 22 in Hadoop
    Views
    2,067
    Comparisons
    1,719
    Reviews
    5
    Average Words per Review
    445
    Rating
    7.0
    10th
    out of 22 in Hadoop
    Views
    194
    Comparisons
    153
    Reviews
    0
    Average Words per Review
    0
    Rating
    N/A
    Comparisons
    Also Known As
    Amazon Elastic MapReduce
    QDS
    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.

    A self-managing and self-optimizing data platform. Constantly analyzes and learns about your big data platform’s usage through combination of heuristics and machine learning.

    Provides actionable Alerts, Insights and Recommendations (AIR) to optimize reliability, performance and costs.

    Automatically enacts policies through a number of Cloud Agents to eliminate the need for repetitive manual actions

    Offer
    Learn more about Amazon EMR
    Learn more about Qubole Data Services
    Sample Customers
    Yelp
    Ola Cabs, GetSmart, AdIQuity, Glossom, Station X, Indix, TA telecom, bloomreach, Universal Music Group, Videoplaza, Sokrati, Flipboard, DEMAND BASE, Black Book, ImplementHIT, Answers.com, DataXu, DataLogix, Under Armour Connected Fitness, Quantdeck, Capillary, PubMatic, YouGov, Quora, Insightera, Komli Media, Pinterest, MediaMath, yieldr, TubeMogul, Saavn, Merkle, Nextdoor
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company26%
    Media Company13%
    Comms Service Provider12%
    Financial Services Firm11%
    VISITORS READING REVIEWS
    Computer Software Company30%
    Media Company24%
    Comms Service Provider10%
    Hospitality Company8%
    Company Size
    REVIEWERS
    Small Business44%
    Midsize Enterprise22%
    Large Enterprise33%
    VISITORS READING REVIEWS
    Small Business13%
    Midsize Enterprise11%
    Large Enterprise75%
    No Data Available
    Buyer's Guide
    Hadoop
    June 2022
    Find out what your peers are saying about Apache, Cloudera, Amazon and others in Hadoop. Updated: June 2022.
    610,336 professionals have used our research since 2012.

    Amazon EMR is ranked 3rd in Hadoop with 5 reviews while Qubole Data Services is ranked 10th in Hadoop. Amazon EMR is rated 7.0, while Qubole Data Services is rated 0.0. The top reviewer of Amazon EMR writes "Stable, scalable, and has all the necessary distributions ". On the other hand, Amazon EMR is most compared with Cloudera Distribution for Hadoop, Snowflake, Apache Spark, AWS Lake Formation and Apache Hadoop, whereas Qubole Data Services 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.