Amazon EMR

RATING:

4.5

(2)

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Overview

Reviews

About Amazon EMR

Amazon EMR makes it easy to quickly and cost-effectively process virtually any amount of data using Apache Hadoop, Spark, Presto, and other open-source frameworks. Whether you have one giant data set or many smaller ones, Amazon EMR allows you to quickly create a cluster that meets your requirements by configuring the right combination of resources: storage, compute instances (virtual CPUs), and memory. With on-demand pricing and pay-as-you-go model, you pay only for the resources used while they are running.

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Amazon EMR Reviews

Overall Rating

4.5

Ratings Breakdown

(1)

(0)

Secondary Ratings

Ease-of-use

Customer Support

Value for money

4.5

Functionality

4.5

Most Helpful Reviews for Amazon EMR

2 Reviews

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Filippo

Verified reviewer

Marketing and Advertising, 51-200 employees

Used daily for more than 2 years

Review Source: Capterra

OVERALL RATING:

EASE OF USE

VALUE FOR MONEY

CUSTOMER SUPPORT

FUNCTIONALITY

Reviewed November 2023

The perfect tool to distributed data loads through your cloud capacity

Amazon EMR has allowed us to configure multiple batch processing jobs, with scalable cloud capacity, all in one place. Using Hadoop, data processing is parallelized and Spark support provides further boost to all you work.

PROS

Amazon EMR allows to balance data processing over all the cloud machine provided from Amazon EC2, using Hadoop ecosystem. Each single data processing job can be divided in to two or more step, which can be run alone too, making data processing managing user friendly.

CONS

Setting up Amazon EMR is not easy at first sight and you need a bit of experience and time to reach the optimal conditions for your applications and processes to run efficiently.

Anonymous

201-500 employees

Used weekly for less than 2 years

Review Source: Capterra

OVERALL RATING:

EASE OF USE

VALUE FOR MONEY

FUNCTIONALITY

Reviewed June 2022

Best cloud service to utilize the vast array of tools in the Hadoop ecosystem

We used EMR to improve the scalability of our ETL jobs. With EMR, cluster size is just one config change away.

PROS

I like how easy it is to spin up a ready-to-use Hadoop cluster using EMR. It takes away a lot of the infrastructure work necessary to use Hadoop tools and spark.

CONS

I don't really have anything I don't like about EMR.

Reason for choosing Amazon EMR

We chose to use Spark on EMR due to its great ecosystem.

Reasons for switching to Amazon EMR

We needed a flexible but cost-efficient infrastructure for our ETL jobs.