Amazon EMR
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Most Helpful Reviews for Amazon EMR
2 Reviews
Filippo
Verified reviewer
Marketing and Advertising, 51-200 employees
Used daily for more than 2 years
OVERALL RATING:
5
EASE OF USE
4
VALUE FOR MONEY
5
CUSTOMER SUPPORT
4
FUNCTIONALITY
5
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.
PROSAmazon 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.
CONSSetting 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
OVERALL RATING:
4
EASE OF USE
4
VALUE FOR MONEY
4
FUNCTIONALITY
4
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.
PROSI 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.
CONSI 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.