EMR is a good engine for specific use cases. It is mostly used for data processing, but it does have some real-time streaming capabilities. If you want to stream hundreds of millions of events daily from mobile apps and web apps, then an in-memory technology would be better than EMR. I rate Amazon EMR a nine out of ten.
My advice would be to do a dependency analysis to understand the limitations before planning to move in with Amazon EMR. I would rate the overall solution a six out of ten.
Technology Analyst at Proodlehospitatilityservicesltd
Real User
Top 20
2023-07-27T08:05:04Z
Jul 27, 2023
Amazon EMR is easy to use and easily adaptable to the environment. It reduces the cost of storing data in a static cluster. I rate it a nine out of ten.
I rate the solution an eight out of ten. The solution is good, but its compatibility with older versions can be improved. I recommend the solution to users considering implementing it in their organizations.
Vice President -Product Management at a computer software company with 1,001-5,000 employees
Real User
Top 5
2022-05-18T15:02:23Z
May 18, 2022
We are a customer and end-user. I'd advise potential new users to give it a try if they have the requisite use cases. If it fits their use case, they should definitely go for EMR. I'd rate the solution seven out of ten.
Senior Chief Engineer (Enterprise System Presales/Postsales) at Samsung
Real User
Top 20
2022-04-30T18:37:40Z
Apr 30, 2022
My advice to others is that before implementing a solution they should look around. There are multiple solutions available and one might be a better fit for their use case. I rate Amazon EMR an eight out of ten.
Engineering Manager/Solution architect at a computer software company with 201-500 employees
Real User
2021-12-02T14:41:01Z
Dec 2, 2021
We have a range of clients in addition to the client with the large database of addresses. Another client is a large blockchain company and we do analytics for them, using Bare Metal and Hadoop, but not EMR. We're also doing Spark Streaming, Spark SQL, and some queries with Impala. We also have a company that enriches data from mobile companies, in terms of GAL locations of cell phones, with a variety of data from other sources to predict profitability. I rate Amazon EMR an eight out of ten. It's continuously improving, and now it's possible to manage EMR directly from SageMaker Notebook. It's continuously evolving. I would recommend EMR to others because it's pretty straightforward, so onboarding doesn't take much time.
Amazon Elastic MapReduce (Amazon EMR) is a web service that makes it easy to quickly and cost-effectively process vast amounts of data. Amazon EMR simplifies big data processing, providing a managed Hadoop framework that makes it easy, fast, and cost-effective for you to distribute and process vast amounts of your data across dynamically scalable Amazon EC2 instances.
I would highly recommend Amazon EMR to other users. Overall, I rate Amazon EMR an eight out of ten.
EMR is a good engine for specific use cases. It is mostly used for data processing, but it does have some real-time streaming capabilities. If you want to stream hundreds of millions of events daily from mobile apps and web apps, then an in-memory technology would be better than EMR. I rate Amazon EMR a nine out of ten.
My advice would be to do a dependency analysis to understand the limitations before planning to move in with Amazon EMR. I would rate the overall solution a six out of ten.
Amazon EMR is easy to use and easily adaptable to the environment. It reduces the cost of storing data in a static cluster. I rate it a nine out of ten.
I rate the solution an eight out of ten. The solution is good, but its compatibility with older versions can be improved. I recommend the solution to users considering implementing it in their organizations.
I rate this solution seven out of ten. The solution is good but can be improved by making it more user-friendly and easy to set up.
I'd recommend the solution to others to try. I'd rate it a six out of ten.
We are a customer and end-user. I'd advise potential new users to give it a try if they have the requisite use cases. If it fits their use case, they should definitely go for EMR. I'd rate the solution seven out of ten.
My advice to others is that before implementing a solution they should look around. There are multiple solutions available and one might be a better fit for their use case. I rate Amazon EMR an eight out of ten.
We have a range of clients in addition to the client with the large database of addresses. Another client is a large blockchain company and we do analytics for them, using Bare Metal and Hadoop, but not EMR. We're also doing Spark Streaming, Spark SQL, and some queries with Impala. We also have a company that enriches data from mobile companies, in terms of GAL locations of cell phones, with a variety of data from other sources to predict profitability. I rate Amazon EMR an eight out of ten. It's continuously improving, and now it's possible to manage EMR directly from SageMaker Notebook. It's continuously evolving. I would recommend EMR to others because it's pretty straightforward, so onboarding doesn't take much time.
I would recommend this solution and I rate it an eight out of 10.
In general, I would rate the solution at a four out of ten.