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Amazon EMR is a great way to manage and analyze data!
September 11, 2020

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

Anonymous | TrustRadius Reviewer
Score 8 out of 10
Vetted Review
Verified User

Overall Satisfaction with Amazon EMR (Elastic MapReduce)

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.
  • Makes massive data easier to manage
  • Backed by Amazon and AWS
  • Makings analyzing data easy
  • Support more data frameworks
  • API integration
  • Cloud service integration
  • Reduced spending on similar systems
  • Saving users time in data management
  • Cloud computing saves local processing
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.
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.

Do you think Amazon EMR (Elastic MapReduce) delivers good value for the price?

Yes

Are you happy with Amazon EMR (Elastic MapReduce)'s feature set?

Yes

Did Amazon EMR (Elastic MapReduce) live up to sales and marketing promises?

Yes

Did implementation of Amazon EMR (Elastic MapReduce) go as expected?

Yes

Would you buy Amazon EMR (Elastic MapReduce) again?

Yes

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.