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Amazon EMR

Amazon EMR

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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Recent Reviews

Amazon EMR Review

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

Products that are considered exceptional by their customers based on a variety of criteria win TrustRadius awards. Learn more about the types of TrustRadius awards to make the best purchase decision. More about TrustRadius Awards

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Product Details

What is Amazon EMR?

Amazon EMR Technical Details

Operating SystemsUnspecified
Mobile ApplicationNo

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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Comparisons

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Reviews and Ratings

(60)

Attribute Ratings

Reviews

(1-3 of 3)
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September 22, 2020

Amazon EMR Review

Verified User
Team Lead in Information Technology
Information Technology & Services Company, 11-50 employees
Score 7 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Amazon EMR is being used by our organization to simplify running big data frameworks, and provide the Amazon EMR highlights, product details, and pricing information. It is used across the whole organization and is enjoyed by everyone. It addresses business problems like slow running big data frameworks and not being provided highlights, product details, and pricing information for Amazon EMR.
Pros and Cons
  • Provides the Amazon EMR highlights, product details, and pricing information.
  • Simplifies running big data frameworks.
  • Analyzes vast amounts of data.
  • Freezes sometimes.
  • Glitches a lot.
  • Runs slow.
Likelihood to Recommend
Some scenarios where Amazon EMR is well suited include simplifying running big data frameworks, providing the Amazon EMR highlights, product details, and pricing information, and analyzing vast amounts of data. Some scenarios where Amazon EMR is less appropriate include assisting clients with problems on their servers, and coding our clients' many servers at our data centers.
Return on Investment
  • It had made our job easier.
  • Everyone loves it.
  • It can slow us down sometimes.
Alternatives Considered
Amazon EMR is faster, cheaper, easier, and enjoyed more by our employees compared to Azure HDInsight. We selected Amazon because we saw an advertisement and wanted to try it out to see how it was. We will continue to use it until it is not around or until we find something that is better.
Support Rating
8
I give the overall support for Amazon EMR this rating because while the support technicians are very knowledgeable and always able to help, it sometimes takes a very long time to get in contact with one of the support technicians. So overall the support is pretty good for Amazon EMR.
Usability
7
I give Amazon EMR this rating because while it is great at simplifying running big data frameworks, providing the Amazon EMR highlights, product details, and pricing information, and analyzing vast amounts of data, it can be run slow, freeze and glitch sometimes. So overall Amazon EMR is pretty good to use other than some basic issues.
Other Software Used
September 20, 2020

AWS's EMR: the best option out there

Nicolas Costa Ossa | TrustRadius Reviewer
Nicolas Costa Ossa
Director of Customer Operations & Account Management
Koombea (Internet, 51-200 employees)
Score 10 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
We are a certified AWS partner agency, and we use a lot of the AWS stack for most of our projects. EMR is used in several of them when required. It is implemented by our DevOps team and we pretty much use it when we need to process a lot of data throughout EC2 instances. EMR is very compelling to our customers because it is easier to implement (hence less dev cost) and it is way more efficient when managing the data VS other tools, so the overall cost reduction is considerable.
Pros and Cons
  • Easier to implement than older on-premise solutions
  • Works with open source technologies.
  • Keeps processing cost low.
  • It is flexible and works also for short term workloads and the pricing changes to that model.
  • You definitely need to be trained before using it because the interface can be a little confusing. It is a professional service model, so I recommend a certified dev.
Likelihood to Recommend
For example, when you have Apache Spark on-premise deployments, or also Apache Hadoop, and you want to move to the cloud and reduce costs, EMR is the right tool. When you have lots of ups and downs in workload levels to process data. AWS's EMR can help you by setting up flexible/scalable scenarios.
Return on Investment
  • 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.
Alternatives Considered
EMR is more suited for developers. Databricks feel more for data science-oriented with its notebooks and customs visualizations. With EMR you can more easily add additional capacity on-damnd on the instance. With others is a more cumbersome process. And then, you can also configure it to be dynamic and change depending on your usual flow of data.
Support Rating
10
There's a vast group of trained and certified (by AWS) professionals ready to work for anyone that needs to implement, configure or fix EMR. There's also a great amount of documentation that is accessible to anyone who's trying to learn this. And there's also always the help of AWS itself. They have people ready to help you analyze your needs and then make a recommendation.
Usability
9
Experience and time using the platform play a huge portion in the overall usability experience. It is a complex and powerful tool, so training is necessary.
September 11, 2020

Amazon EMR is a great way to manage and analyze data!

Verified User
Administrator in Information Technology
Government Administration Company, 501-1000 employees
Score 8 out of 10
Vetted Review
Verified User
Incentivized
Use Cases and Deployment Scope
Amazon Eliastic MapReduce may be a mouthful (EMR is much easier to say) but like taking that string and reducing it to its acronym, it takes a complex set of data and reduces to something manageable and understandable. Its been deployed as a solution to massive, and spread out data that needs to be consolidated.
Pros and Cons
  • Makes massive data easier to manage
  • Backed by Amazon and AWS
  • Makings analyzing data easy
  • Support more data frameworks
  • API integration
  • Cloud service integration
Likelihood to Recommend
Amazon is the big player in the data game right now as it even seems to push Google out of the way in some instances. Because of this you know they treat your data well and also deal with a ton themselves. That makes them good at a comparably smaller data set like most companies have.
Return on Investment
  • Reduced spending on similar systems
  • Saving users time in data management
  • Cloud computing saves local processing
Support Rating
9
AWS and EMR support are on par with the best out there. You pay a premium for the support but they can save you time and money by quickly resolving issues or helping you get your problem taken care of. They are competing with Google and MS, and it shows in their support.
Usability
9
Overall usability is great. The product and interface makes a complex data set easy to manage, navigate and understand. Having the cloud processing on your side saves you local processing time and effort that others do not provide. There are not many similar systems that provide this level of usability.
Other Software Used
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