Amazon EMR is ideal for Hadoop-based processing
The AWS stack is a big component of the majority of our work. When necessary, EMR is employed in a number of these settings. When we need …
Overview
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…
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What is Amazon EMR?
Amazon EMR Technical Details
| Operating Systems | Unspecified |
|---|---|
| Mobile Application | No |
Frequently Asked Questions
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.
Reviewers rate Support Rating highest, with a score of 9.
The most common users of Amazon EMR are from Enterprises (1,001+ employees).
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Reviews and Ratings
(60)Attribute Ratings
Reviews
(1-19 of 19)Companies can't remove reviews or game the system. Here's why
April 22, 2022
Amazon EMR is ideal for Hadoop-based processing
- Cost reductions for consumers are enormous as compared to other (more conventional) choices, particularly on-premise ones.
- S3 and EC2 API connection allowed for increased scalability.
April 19, 2022
Amazon EMR - fast, and elastic
- It was expensive at the start when the scale was small
- It started showing good ROI when the amount of data increased
- It is pricey in general
April 11, 2022
Amazon EMR is worth it when you have experience
- Not a cost effective solution
- People working on it need experience
- Saves time when done right
April 09, 2022
EMR: Great Services for Analytics
- Reduced times of processing.
- He platform is very useful in regards to its processing and storage of big data.
- No need to handle complex configuration of Big data platform.
April 08, 2022
Good product to try with...Amazon EMR.
- Cost effective if configured correctly.
- On Fail configuration need to pay the price.
- Dealing with large datasets saves time if gone manually.
April 08, 2022
Amazon EMR - It's very intuitive and easy to use.
- We use Hadoop and Spark frameworks. To process and store big data
April 06, 2022
My chosen scaleable cloud platform
- Costs can spiral out of control if not careful
- Customers put off by costings
- Competition from GCP
April 06, 2022
AWS has it all!
- ROE is slower for small business
- Less in house resources to manage
- We can focus more on the business
April 06, 2022
Awesome Services to process data seamlessly
- Reduced cost
- Reduced time
- Do need experienced developer to implement.
December 10, 2021
Amazon EMR is the extremely large datasets transformation solution
- Big price on failed instance.
- Save time on big dataset.
- Monitoring usage.
December 03, 2021
Amazon EMR - Truly elastic
- Quick data load
- Ingestion quality
- Stability
September 22, 2020
Amazon EMR Review
- It had made our job easier.
- Everyone loves it.
- It can slow us down sometimes.
September 20, 2020
AWS's EMR: the best option out there
- 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.
September 11, 2020
Amazon EMR is a great way to manage and analyze data!
- Reduced spending on similar systems
- Saving users time in data management
- Cloud computing saves local processing
February 04, 2019
Amazon Elastic MapReduce is Worth the Effort if You Really Need Big Data Management, Just Make Sure You Really Need It
- 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.
January 18, 2018
Amazon EMR- Great cloud based Hadoop platform
- Better accesss to business data
- Faster business decisions
- Better storage and processing
November 17, 2017
EMR review
- 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!!
- 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.
June 22, 2016
Research Experience with Amazon EMR
- 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.