Try our new research platform with insights from 80,000+ expert users

Amazon EMR vs Apache Hadoop comparison

Amazon Web Services (AWS) and Apache are both solutions in the Cloud Data Warehouse category. Additionally, 85% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 89% of Apache users who would recommend it.
Amazon EMR
Read 22 Amazon EMR reviews
  • 1,705 Views
  • 1,477 Comparison Views
85% willing to recommend
Apache Hadoop
Read 39 Apache Hadoop reviews
  • 1,631 Views
  • 1,372 Comparison Views
89% willing to recommend
 

Comparison Buyer's Guide

Download the report
Executive Summary
We performed a comparison between Amazon EMR and Apache Hadoop based on real PeerSpot user reviews.

Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.

DOWNLOAD THE COMPLETE REPORT
To learn more, read our detailed Amazon EMR vs. Apache Hadoop Report (Updated: December 2024).
Buyer's Guide
Amazon EMR vs. Apache Hadoop
December 2024
Download the complete report
Helped 825,399 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:
 

ROI

Sentiment score
6.3
Amazon EMR ROI varies widely, with some companies doubling returns and others reporting up to 20% in cost savings.
Sentiment score
6.5
Apache Hadoop offers cost-effective storage and processing, with varying returns based on analytics sophistication and workload optimization.
 

Customer Service

Sentiment score
7.6
Amazon EMR customer service is generally responsive and knowledgeable, but some experience inconsistencies and slower responses with open-source integrations.
Sentiment score
6.5
Apache Hadoop's support varies, with high satisfaction from vendor packages, responsive teams, and helpful documentation and community.
 

Scalability Issues

Sentiment score
7.8
Amazon EMR is scalable and customizable for enterprise applications, despite some performance concerns with resource allocation.
Sentiment score
7.6
Apache Hadoop offers scalable data management for large-scale deployments, efficiently supports diverse users and adapts across industries.
 

Stability Issues

Sentiment score
8.1
Amazon EMR is stable and reliable, though occasionally requires configuration adjustments for different data loads.
Sentiment score
7.4
Apache Hadoop is stable, especially newer versions, with occasional issues in setup, memory, and online data ingestion.
 

Room For Improvement

Amazon EMR needs UI improvements, enhanced automation, better stability, debugging, cost management, and advanced features for efficient operations.
Apache Hadoop requires enhanced compatibility, improved usability, real-time processing, better security, modern interfaces, and cost-effective solutions to boost adoption.
 

Setup Cost

Amazon EMR pricing varies, with potential high costs primarily from infrastructure, despite no standard software licensing fees.
Apache Hadoop is cost-effective for large-scale deployments, but smaller enterprises face higher expenses despite potential cloud cost savings.
 

Valuable Features

Amazon EMR offers scalable, efficient data processing with easy integration and management, emphasizing cost-effectiveness, security, and diverse data connectivity.
Apache Hadoop offers cost-efficient, scalable data processing with HDFS, supporting large datasets and seamless integration with tools like Spark.
 

Categories and Ranking

Amazon EMR
Average Rating
7.8
Reviews Sentiment
7.2
Number of Reviews
22
Ranking in other categories
Hadoop (3rd), Cloud Data Warehouse (11th)
Apache Hadoop
Average Rating
7.8
Reviews Sentiment
6.8
Number of Reviews
39
Ranking in other categories
Data Warehouse (7th)
 

Featured Reviews

Prashant Singh - PeerSpot reviewer
Easy to manage and reliable but the cost is hard to control
The cost is increasing. We are looking into how we can optimize the cost part of EMR. We're doing a comparison between Cloudera running on AWS and running AWS EMR. We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part.
Read full review
Sushil Arya - PeerSpot reviewer
Provides ease of integration with the IT workflow of a business
When working with Kafka, I saw that the data came in an incremental order. The incremental data processing part is still not very effective in Apache Hadoop. If the data is already there, it can be processed very effectively, especially if the data is coming in every second. If you want to know the location of some data every second, then such data is not processed effectively in Apache Hadoop. I can say that one of the features where improvements are required revolves around the licensing cost of the tool. If the tool can build some licensing structures in a pay-per-use manner, organizations can get the look and feel of Apache Hadoop. Apache Hadoop can offer a licensing structure of the product that can be seen as similar to how AWS operates. Apache Hadoop can look into the capability of processing incremental data. The tool's setup process can be a scope of improvement. Also, it is not very simple because while doing the setup, we need to do all the server settings, including port listing and firewall configurations. If we look at other products on the market, then they can be made simpler. There are certain shortcomings when it comes to the product's technical support part, making it an area where improvements are required. The time frame for the resolution is an area that needs to be improved. The overall communication part of the technical support team also needs improvement.
Read full review
report
See which vendors are best for you
Use our free recommendation engine to learn which Cloud Data Warehouse solutions are best for your needs.
See recommendations
825,399 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
13%
Manufacturing Company
9%
Educational Organization
7%
Financial Services Firm
34%
Computer Software Company
10%
University
7%
Energy/Utilities Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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.
See all answers
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.
See all answers
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.
See all answers
What do you like most about Apache Hadoop?
It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming.
See all answers
What is your experience regarding pricing and costs for Apache Hadoop?
The product is open-source, but some associated licensing fees depend on the subscription level. While it might be free for students, organizations typically need to pay for their subscriptions. Th...
See all answers
What needs improvement with Apache Hadoop?
Hadoop lacks OLAP capabilities. I recommend adding a Delta Lake feature to make the data compatible with ACID properties. Also, video and audio streaming import issues could be improved to ensure p...
See all answers
 

Comparisons

Snowflake vs Amazon EMR Logo
Snowflake vs Amazon EMR
Compared 38% of the time
Cloudera Distribution for Hadoop vs Amazon EMR Logo
Cloudera Distribution for Hadoop vs Amazon EMR
Compared 30% of the time
Amazon Redshift vs Amazon EMR Logo
Amazon Redshift vs Amazon EMR
Compared 7% of the time
Azure Data Factory vs Amazon EMR Logo
Azure Data Factory vs Amazon EMR
Compared 6% of the time
Apache Spark vs Amazon EMR Logo
Apache Spark vs Amazon EMR
Compared 5% of the time
More Amazon EMR Competitors
Oracle Exadata vs Apache Hadoop Logo
Oracle Exadata vs Apache Hadoop
Compared 19% of the time
Azure Data Factory vs Apache Hadoop Logo
Azure Data Factory vs Apache Hadoop
Compared 17% of the time
Teradata vs Apache Hadoop Logo
Teradata vs Apache Hadoop
Compared 12% of the time
BigQuery vs Apache Hadoop Logo
BigQuery vs Apache Hadoop
Compared 12% of the time
Microsoft Azure Synapse Analytics vs Apache Hadoop Logo
Microsoft Azure Synapse Analytics vs Apache Hadoop
Compared 8% of the time
More Apache Hadoop Competitors
 

Product Reports

Buyer's Guide
Amazon EMR
December 2024
Amazon EMR reportDownload Amazon EMR product report
Buyer's Guide
Apache Hadoop
December 2024
Apache Hadoop reportDownload Apache Hadoop product report
 

Also Known As

Amazon Elastic MapReduce
No data available
 

Learn More

Amazon Web Services (AWS)
Apache
 

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.
The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.
 

Sample Customers

Yelp
Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
Buyer's Guide
Amazon EMR vs. Apache Hadoop
December 2024
Free Report: Amazon EMR vs. Apache Hadoop
Find out what your peers are saying about Amazon EMR vs. Apache Hadoop and other solutions. Updated: December 2024.
DOWNLOAD NOW
825,399 professionals have used our research since 2012.
See our Amazon EMR vs. Apache Hadoop report.
See our list of best Cloud Data Warehouse vendors.

We monitor all Cloud Data Warehouse 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.