My workloads run faster and I have more time to work on refining the code, instead of just sitting down waiting for the query to run Review collected by and hosted on G2.com.

It's not as elastic as promoted. I would like the cluster to scale in real time Review collected by and hosted on G2.com.

Control of specifying the configuration, and the debugging support Review collected by and hosted on G2.com.

Troubleshooting incidents is hard with support Review collected by and hosted on G2.com.

> One of the multiclustered architectures for bigdata processing which includes all kind of files

> User does not need to worry about maintaience of the clustes and clusters will be dynamically replaced based on failure

> Its one of the architecutes for map reduce proceesing(hadoop processing), can process PB data using multithreaded architecure Review collected by and hosted on G2.com.

> its not serverless, i.e admin/user need to manually provision the clusters for processing, and to be deleted after processing

> Cost is comparatively more in comparision with serverless services available in AWS

> EMR comes with 2 master nodes, if both master nodes fails, EMR cluster will go down, i.e users need to provision for multi az cluster to avoid node failures Review collected by and hosted on G2.com.

Ease of creating EMR instances and choosing required Softwares to have reinstalled (Spark/Hive/etc.). Review collected by and hosted on G2.com.

Cost is somewhat high and can be a limiting factor sometimes Review collected by and hosted on G2.com.

User customisable plans and cost efficiency, and best UI ofcourse. Review collected by and hosted on G2.com.

Cloud processes are still slow as it's virtual, but still it's a better choice Review collected by and hosted on G2.com.

No traditional multiprocess is required, distributes the work between the client node, best and earlier work found was using pspark with a data frame with a high level of python APIs Review collected by and hosted on G2.com.

The platform is tightly packed, it will be difficult to do configuration changes on YAML files Review collected by and hosted on G2.com.

Easy to setup.

Cost friendly.

Faster processing.

Quick management.

Monitoring as an add up.

Higly scalable.

Can be integrated with lots of technologies.

More secure. Review collected by and hosted on G2.com.

For setting up Amazon EMR Clusters its reauires a good AWS skilled labours and also it is a bit difficult for a new bie to attach and find applicable permissions and policies. Review collected by and hosted on G2.com.

EMR can execute the code using spark or other clusters like Hadoop, and these increase the performance and decrease the total job execution time.

Execution time comes down to few minutes as against several hours running on either EC2 or other computing servers.

Easy to choose between hadoop or spark based EMR culsters , it can be used in conjection with other AWS services like we can build an orcestation involving EMR and several other task on AWS datapipeline service. Review collected by and hosted on G2.com.

It takes time to spin up an EMR cluster, sometimes up to fifteen to thirty minutes if using it for the first time for a task and this happens mostly whenever starting a new cluster.

Once triggered adding new task is easy but initial setup takes time.

And we have to think on the use case and code for which EMR is to be used for at time EC2 is able to finish or perform the same processing in the comparable amount of time so in those cases we might end up increasing the overall cost of the project. Review collected by and hosted on G2.com.

Easy to connect with different services like s3 and powerful service for processing big data Review collected by and hosted on G2.com.

EMR logs to s3 (Application log) takes some time to gets created. Review collected by and hosted on G2.com.

Scalability whether it is vertically or horizontally is the best thing about the Amazon web services EMR service. Also the options to choose from different sizes is good. Review collected by and hosted on G2.com.

There is no point which I disliked about this service. Review collected by and hosted on G2.com.