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.

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I'd recommend the solution to others to try.

I'd rate it a six out of ten. 

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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.

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My advice to others is to use the free version of the solution and make their decision to purchase it afterward.

I rate Amazon EMR an eight out of ten.

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You should use it. It will be really helpful in the business. It will really help the business. So it is highly recommended to use it.

Overall, I would rate the solution an eight out of ten. 

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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. 

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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.

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I highly recommend the product. Overall, I rate the solution a nine out of ten.

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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.

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I would highly recommend Amazon EMR to other users.

Overall, I rate Amazon EMR an eight out of ten.

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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.

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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. 

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I would say take advantage of the documentation that exists, there are a lot of tutorials, and there's a really good community. The documentation is actually very thorough and very well-written, which is one of the greatest things with AWS. I don't know if this matters, but I'm a Certified Developer and Solutions Architect with Associate level, so not that I wouldn't criticize them, if I had anything to criticize.

I gave it a nine out of 10 because nothing is perfect. Everything can always improve but, overall, it's extremely well thought out. The cost is a bit prohibitive sometimes, but the whole world of big data and cluster computing can be very daunting, especially for someone new getting into it as a developer, or from a business perspective. Amazon makes it about as easy as it can be to dip a toe in those waters.

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I would recommend this solution and I rate it an eight out of 10. 

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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.

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In general, I would rate the solution at a four out of ten.

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We provide services for product implementation, so people looking for such products can contact me.

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I've been using Amazon Elastic MapReduce for more than a year and found it to be a very useful tool. I was a bit hesitant to try this wonderful tool when I had started for the first time, but having previous expertise in a similar tool helped me grasp things at a faster pace. The bottom line is that if you have used some similar tools in the past, you are good to go. And, if you are new to the concept of a distributed task structure, it would be wise to spend a couple of minutes to get yourself acquainted with the MapReduce technology. This is my personal experience. View full review »

Overall a good cloud infrastructure and takes the burden of managing the distributed hardware and can easily scale up and scale down as per the requirement of the task at hand. Very efficient in number crunching tasks using the map reduce technology as the tasks are distributed across multiple machines spread across the network. The web interface for managing cloud instances is a bit difficult to understand particularly for beginners and needs further improvement keeping in mind the ease of use for end users. View full review »