Amazon EMR Reviews & Product Details

EMR helps us work with big data in a faster and easier way. The UI is simple for starting jobs, checking progress, and seeing what’s happening, including reviewing logs. It also works well with other AWS services like CloudWatch. On pricing, it can save money because we only use what we need instead of running everything all the time. Support and onboarding are straightforward; if you’re already using AWS, it’s ready to use. It also has smart features like scaling and tuning, which make it easier to manage. Gives good performance. Review collected by and hosted on G2.com.

Amazon EMR is helpful, but it’s hard to learn at first. The screens and setup can feel confusing, and costs can go up if they aren’t managed correctly. Review collected by and hosted on G2.com.

EMR is easy to run single job for testing and it gives exact log error Review collected by and hosted on G2.com.

Sometimes it fails because of scaling up/down. So we have to tune it manually Review collected by and hosted on G2.com.

EMR we are using for running business logic on large business data received from various sources and third pary vendors Review collected by and hosted on G2.com.

Auto scaling for task and core nodes is slow and takes more than 15 minutes normally which causes failure of running jobs due to lack of resources on cluster. Review collected by and hosted on G2.com.

It is very easy to launch or clone EMR cluster. And EMR provides very easy scaling capabilities based on containers, cpu , spot instances, usage of insance fleet or instance groups . And EMR supports many of the widely used applications like Spark, Hive, Hadoop, Trino, Presto, Ranger , Flink etc Review collected by and hosted on G2.com.

Working with Spot instances on EMR is slightly complicated during unavailability of spot instances when you need to use instances on once particular availability zone. Many solutions like databricks provide fallback which are even more easy to use Review collected by and hosted on G2.com.

Amazon EMR is a much more powerful product to deploy big data solutions on top of Spark, Flink, scoop, etc. It is very is to configure and provides a nice UI that helps a lot in debugging spark jobs. Apart from that, from an observability point of view, EMR dumps all logs to S3 and the cloud watch which eventually helps developers to debug memory issues in the cluster Review collected by and hosted on G2.com.

I don't like the notebook interface it provides, it doesn't have features like auto-completion etc. Review collected by and hosted on G2.com.

Great User Experience and User Interface

Faster

More scalable

Can Automate Easily

Read input from multiple sources

Write output to multiple sources

Accepted different types of programming language Review collected by and hosted on G2.com.

Booting up takes time that needs more patience

great tool but expensive that is one of the main disadvantage

Other than that nothing, everything looks great, I am using it every day. Review collected by and hosted on G2.com.

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.