Amazon EMR

Amazon EMR

Customer Verified
About TrustRadius Scoring
Score 8.5 out of 100
Amazon EMR (Elastic MapReduce)

Overview

Recent Reviews

Amazon EMR - fast, and elastic

7 out of 10
April 19, 2022
We use Amazon EMR (Elastic MapReduce) to run various types of algorithms related to health like calculation of body mass index, heart rate …
Continue reading

Amazon EMR Review

7 out of 10
September 22, 2020
Amazon EMR is being used by our organization to simplify running big data frameworks, and provide the Amazon EMR highlights, product …
Continue reading

Reviewer Pros & Cons

View all pros & cons

Video Reviews

Leaving a video review helps other professionals like you evaluate products. Be the first one in your network to record a review of Amazon EMR, and make your voice heard!

Pricing

View all pricing
N/A
Unavailable

What is Amazon EMR?

Amazon EMR is a cloud-native big data platform for processing vast amounts of data quickly, at scale. Using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi (Incubating), and Presto, coupled with the scalability of Amazon EC2 and scalable storage of Amazon…

Entry-level set up fee?

  • No setup fee

Offerings

  • Free Trial
  • Free/Freemium Version
  • Premium Consulting / Integration Services

Would you like us to let the vendor know that you want pricing?

Features Scorecard

No scorecards have been submitted for this product yet..

Product Details

What is Amazon EMR?

Amazon EMR is a cloud-native big data platform for processing vast amounts of data quickly, at scale. Using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi (Incubating), and Presto, coupled with the scalability of Amazon EC2 and scalable storage of Amazon S3, EMR gives analytical teams the engines and elasticity to run Petabyte-scale analysis.

Amazon EMR Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

Comparisons

View all alternatives

Frequently Asked Questions

What is Amazon EMR?

Amazon EMR is a cloud-native big data platform for processing vast amounts of data quickly, at scale. Using open source tools such as Apache Spark, Apache Hive, Apache HBase, Apache Flink, Apache Hudi (Incubating), and Presto, coupled with the scalability of Amazon EC2 and scalable storage of Amazon S3, EMR gives analytical teams the engines and elasticity to run Petabyte-scale analysis.

What is Amazon EMR's best feature?

Reviewers rate Support Rating highest, with a score of 9.

Who uses Amazon EMR?

The most common users of Amazon EMR are from Mid-sized Companies (51-1,000 employees) and the Computer Software industry.

Reviews and Ratings

 (57)

Ratings

Reviews

(1-20 of 20)
Companies can't remove reviews or game the system. Here's why
Nicolas Costa Ossa | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User
Review Source
  • As an agency, we have won new customers just by having these EMR capabilities as a service.
  • For the customers, the savings on costs are huge when compared with ore (more traditional) options, especially with on-premise ones.
Thomas Young | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User
Review Source
  • Amazon Elastic MapReduce has had a positive ROI in the sense that it saved time managing big data projects where analysts were using different big data tools. Essentially, an increase in employee productivity.
  • Elastic MapReduce is not worth it in cases where you're just trying things out. You'll likely lose money unless you're sure that using MapReduce is a good idea.
  • Elastic MapReduce takes some time learning, although not too much. If the employee is less well-versed in big data analytics, the software is a high hill to climb that eats up employee time.
November 17, 2017

EMR review

Score 8 out of 10
Vetted Review
Verified User
Review Source
  • It was easy to set up initial versions of Spark on this
  • Still used as our compute platform as its easy to manage
  • Certain times we forgot to shut down clusters and were overcharged
October 25, 2017

AWS EMR at a glance!!

Score 7 out of 10
Vetted Review
Verified User
Review Source
  • It was obviously cheaper and convenient to use as most of our data processing and pipelines are on AWS. It was fast and readily available with a click and that saved a ton of time rather than having to figure out the down time of the cluster if its on premises.
  • It saved time on processing chunks of big data which had to be processed in short period with minimal costs. EMR solved this as the cluster setup time and processing was simple, easy, cheap and fast.
  • It had a negative impact as it was very difficult in submitting the test jobs as it lags a UI to submit spark code snippets.
Score 6 out of 10
Vetted Review
Verified User
Review Source
  • Positive: Helped process the jobs amazingly fast.
  • Positive: Did not have to spend much time to learn the system, therefore, saving valuable research time.
  • Negative: Not flexible for some scenarios, like when some plugins are required, or when the project has to be moved in-house.