EMR: Great Services for Analytics
April 09, 2022
EMR: Great Services for Analytics
Score 10 out of 10
Vetted Review
Verified User
Overall Satisfaction with Amazon EMR (Elastic MapReduce)
On request transitory clusters for huge information handling. I like its accessibility completely different taken a toll tire makes it greatly flexible for distinctive scale clients. Can be pre-installed with any Huge information apparatuses like Hive, Start, Pig, etc. Nitty-gritty cluster observing makes a difference to track a few measurements, in turn, makes a difference to diminish fetched.
- Big data processing.
- The resizing feature is good.
- Ease of use and creating new clusters.
- The user interface could use a facelift.
- Overhead delay in starting clusters.
- Big learning curve for someone who hasn't used a program like this before.
- EMR can execute the code utilizing start or other clusters like Hadoop.
- Execution time comes down to a few minutes as against a few hours running on either EC2 or other computing servers.
- Easy to select between hadoop or start based EMR clusters.
- 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.
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?
I wasn't involved with the selection/purchase process
Did implementation of Amazon EMR (Elastic MapReduce) go as expected?
Yes
Would you buy Amazon EMR (Elastic MapReduce) again?
Yes