Amazon EMR vs Qubole Data Services comparison

Amazon Web Services (AWS) and Qubole are both solutions in the Hadoop category. Amazon Web Services (AWS) is ranked #3 with an average rating of 8.0, while Qubole is ranked #13. Amazon Web Services (AWS) holds a 13.6% mindshare in H, compared to Qubole’s 1.3% mindshare. Additionally, 85% of Amazon Web Services (AWS) users are willing to recommend the solution.

Amazon EMR

Read 22 Amazon EMR reviews

1,215 Views
1,041 Comparison Views

85% willing to recommend

Qubole Data Services

56 Views
48 Comparison Views

Amazon EMR

Qubole Data Services

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon EMR and Qubole Data Services 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: January 2025).

Buyer's Guide

Hadoop

January 2025

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Helped 832,138 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon EMR

Ranking in Hadoop

3rd

Average Rating

7.8

Reviews Sentiment

7.2

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (12th)

Qubole Data Services

Ranking in Hadoop

13th

Average Rating

0.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2025, in the Hadoop category, the mindshare of Amazon EMR is 13.6%, down from 18.0% compared to the previous year. The mindshare of Qubole Data Services is 1.3%, up from 0.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Hadoop

Featured Reviews

Prashant Singh

Vice President -Product Management at Paytm

Seamless data integration enhances reporting efficiency and an easy setup

Amazon EMR has multiple connectors that can connect to various data sources. The service charges are based on processing only, depending on the resources used, which can help save money. It is easy to integrate with other services for storage, allowing data to be shifted to cheaper storage based on usage.

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Top Industries

By visitors reading reviews

Financial Services Firm

24%

Computer Software Company

14%

Manufacturing Company

Educational Organization

No data available

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

Questions from the Community

What do you like most about Amazon EMR?

Amazon EMR is a good solution that can be used to manage big data.

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What is your experience regarding pricing and costs for Amazon EMR?

The cost of Amazon EMR is a little bit expensive, especially considering the support package, which includes a gold package.

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What needs improvement with Amazon EMR?

Spark jobs take longer on Amazon EMR compared to previous experiences. This aspect could be improved to make them more efficient.

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Comparisons

Snowflake vs Amazon EMR

Compared 37% of the time

Cloudera Distribution for Hadoop vs Amazon EMR

Compared 31% of the time

Amazon Redshift vs Amazon EMR

Compared 8% of the time

Apache Spark vs Amazon EMR

Compared 6% of the time

Azure Data Factory vs Amazon EMR

Compared 6% of the time

More Amazon EMR Competitors

No data available

Product Reports

Buyer's Guide

Amazon EMR

February 2025

Download Amazon EMR product report

Buyer's Guide

Hadoop

January 2025

Download Qubole Data Services product report

Also Known As

Amazon Elastic MapReduce

QDS

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.

Amazon Web Services (AWS)

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

Qubole

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

Find out what your peers are saying about Apache, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: January 2025.

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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.