Amazon EMR Overview

Amazon EMR is the #7 ranked solution in our list of top Hadoop tools. It is most often compared to Cloudera Distribution for Hadoop: Amazon EMR vs Cloudera Distribution for Hadoop

What is Amazon EMR?
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 EMR is also known as Amazon Elastic MapReduce.

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it_user744720
Data Science Engineer
Real User
Sep 27, 2017
Ability to easily and quickly resize the cluster is what really makes it stand out

Pros and Cons

  • "The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions."
  • "There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."

What other advice do I have?

I would say take advantage of the documentation that exists, there are a lot of tutorials, and there's a really good community. The documentation is actually very thorough and very well-written, which is one of the greatest things with AWS. I don't know if this matters, but I'm a Certified Developer and Solutions Architect with Associate level, so not that I wouldn't criticize them, if I had anything to criticize. I gave it a nine out of 10 because nothing is perfect. Everything can always improve but, overall, it's extremely well thought out. The cost is a bit prohibitive sometimes, but the…
it_user347568
Big Data Architect at a tech services company with 1,001-5,000 employees
Consultant
Nov 29, 2015
It's helped to automate processes. but it should offer automation deployment on multiple nodes​.

What is most valuable?

There are several features that are most valuable for us-- Hue Hive Spark S3

How has it helped my organization?

It's helped to automate processes. It's also provided quick deployment, and faster processing.

What needs improvement?

Quicker and offer automation deployment on multiple nodes.

For how long have I used the solution?

I've used it for one year.

What was my experience with deployment of the solution?

Sometimes there were issues.

What do I think about the stability of the solution?

Sometimes there were issues.

What do I think about the scalability of the solution?

Sometimes there were issues.

How are customer service and technical support?

Customer Service: It's good. Technical Support: It's good.

Which solution did I use

Find out what your peers are saying about Amazon, Cloudera, Apache and others in Hadoop. Updated: March 2021.
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it_user334827
Big Data Specialist at a media company with 501-1,000 employees
Vendor
Oct 31, 2015
It's less expensive than in-house hosting and much more scalable when needed to process larger volumes of data, but it needs better monitoring and debugging.

What is most valuable?

Availability Scalability Zero maintenance

How has it helped my organization?

Less expensive than in-house hosting, much more scalable when needed to process larger volumes of data.

What needs improvement?

Better monitoring, debugging, and stability are all needed.

For how long have I used the solution?

I've used it for two years.

What was my experience with deployment of the solution?

No issues encountered.

What do I think about the stability of the solution?

No issues encountered.

What do I think about the scalability of the solution?

No issues encountered.

How are customer service and technical support?

Customer Service: Not consistent. Sometimes great, sometimes poor. Technical Support: Not consistent. Sometimes great, sometimes…
it_user1227
Tech Support Staff at a tech services company with 501-1,000 employees
Consultant
Jul 23, 2012
Cost effective IaaS cloud service with a very good distributed data processing powers.

What other advice do I have?

Overall a good cloud infrastructure and takes the burden of managing the distributed hardware and can easily scale up and scale down as per the requirement of the task at hand. Very efficient in number crunching tasks using the map reduce technology as the tasks are distributed across multiple machines spread across the network. The web interface for managing cloud instances is a bit difficult to understand particularly for beginners and needs further improvement keeping in mind the ease of use for end users.
it_user1158
Developer at a computer software company with 1,001-5,000 employees
Vendor
Jul 13, 2012
A highly scalable, reliable, and cost-effective data processing and number crunching platform

What other advice do I have?

I've been using Amazon Elastic MapReduce for more than a year and found it to be a very useful tool. I was a bit hesitant to try this wonderful tool when I had started for the first time, but having previous expertise in a similar tool helped me grasp things at a faster pace. The bottom line is that if you have used some similar tools in the past, you are good to go. And, if you are new to the concept of a distributed task structure, it would be wise to spend a couple of minutes to get yourself acquainted with the MapReduce technology. This is my personal experience.
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