The product has affordable pricing. We can integrate it easily with multiple open-source platforms.

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In the main application, we use Hive, Spark, and Flink, and there are some additional small tools. We have to do this job inside EMR itself and run from Airflow. We also use a service from Amazon, and we manage jobs through Airflow. There's lots of scheduling, et cetera, that happens. Before, we used Jenkins. Now, we also integrate from Jenkins to Airflow and its processes. It's easier to have everything connected via Amazon. 

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It is easy to manage. The applications are much easier as compared to others.

The solution is pretty simple to set up. 

It's stable and reliable.

The product can scale. 

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In Amazon EMR it is easy to rebuild anything, easy to upgrade and has good fault tolerance.

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The solution eliminates the need to manage hardware resources. Everything is managed for you, so it is a very easy-to-use service.

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It gives us multiple options from Infra to the WES and different tools. It has a variety of options and support systems. Plus, it makes life easy for our developers, whether in the cloud or on-prem. Related DevOS installations are quick and easy to maintain.

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We value the streamlined solution, and the project management is very streamlined using almost all the features.

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The solution helps us manage huge volumes of data. It is a major benefit.

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Amazon EMR is a good solution that can be used to manage big data.

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Amazon EMR's most valuable features are processing speed and data storage capacity.

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One of the valuable features about this solution is that it's managed services, so it's pretty stable, and scalable as much as you wish. It has all the necessary distributions. With some additional work, it's also possible to change to a Spark version with the latest version of EMR. It also has Hudi, so we are leveraging Apache Hudi on EMR for change data capture, so then it comes out-of-the-box in EMR. 

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The ability to resize the cluster is what really makes it stand out over other Hadoop and big data solutions. You can do it very easily and quickly. It is a managed service from AWS Amazon so it removes a lot of the headaches of configuring the different environments for all the nodes in the cluster, and frees you up to do other things. You can use it. You can set it up in minutes and it's very straightforward.

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This tool is simple to use and it's really accessible to many dev teams. It's the best tool for hosts and it's really flexible and scalable which is necessary because we have a lot of data and some of our tasks take a lot of resources. 

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We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot.

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We're working to try the solution on a small-scale first. It's great that it's a solution that allows us to try it bit by bit.

The initial setup is pretty straightforward.

The stability of the product has been great overall.

Technical support has been knowledgeable and helpful.

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• Availability
• Scalability
• Zero maintenance

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There are several features that are most valuable for us--

• Hue
• Hive
• Spark
• S3

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- A highly scalable platform to run vast amounts of data processing with very high efficiency. - Can be set to auto-scale up/down, as and when required. - Highly reliable platform with almost no downtime - Cost Effective - Can be used as a Web Management Console and a Web Services API. - Web consoles makes it very easy to run simple jobs. - Can be very easily integrated with Hadoop Clusters and HDFS distributed file systems. - Uses the in-house Amazon Elastic Cloud (EC2) and Amazon Simple Storage Service (Amazon S3) for providing a dynamic cloud storage facility. View full review »

Amazon Elastic MapReduce is an IaaS platform and is capable of processing vast amounts of data on the cloud. It can do data processing with data sitting on different machines distributed across the cloud. It is based on the underlying technology of Hadoop and Hadoop Distributed File System for doing distributed data processing. It is comparatively cheaper than setting up your own distributed hardware platform. It is designed to grow up or scale down as per the requirement of the task, and all this is done automatically, without any manual intervention. No IT infrastructure management work is required as everything is over the cloud and managed by the service provider. View full review »