Amazon EMR Reviews

ROI from Amazon EMR varies by company and usage. Many companies see significant cost savings and a high return on investment, especially those transitioning from on-premise systems. Some businesses report up to 20% cost reduction, and returns of at least two to one are common. However, some companies have not quantified their ROI, and others cannot specify exact figures.

Amazon EMR pricing varies by vendor and usage, often considered high compared to competitors like Microsoft. Costs are primarily driven by underlying infrastructure, with no additional licensing fees, as it’s a fully managed service. Users pay only for EC2 resources, dictated by clusters and usage time. Feedback indicates prices range significantly, from $40,000 monthly costs to licensing fees reaching over a million annually for large clients. Pricing is seen as expensive, with unexpected charges possible.

• "I rate the tool's pricing a five out of ten. It can be expensive since it's a managed service, and if you are not careful, you can run into unexpected charges. You can make a mistake that costs you tens of thousands of dollars. That's happened to us twice, so I'm sensitive to it. We're still trying to work on that. Our smallest client probably spends a hundred thousand dollars yearly on licensing, while our largest is well over a million."
• "The product is not cheap, but it is not expensive."
• "Amazon EMR is not very expensive."

Organizations primarily utilize Amazon EMR to process large-scale data, execute Spark scripts, and manage data pipelines. They deploy EMR on cloud infrastructure, often integrating it with other AWS services like SageMaker for data analysis and personalized recommendations. Use cases include building data lakes, handling B2B project management, migrating workflows to serverless architectures, and supporting AI-driven analytics projects across various sectors, including finance, healthcare, and public management systems. Data is commonly stored and processed using Amazon S3.

Amazon EMR's customer service and support show inconsistency, with experiences ranging from exceptional responsiveness to dissatisfaction with response times. Many users express satisfaction with technical support's knowledge and responsiveness, while some highlight challenges in integration with open-source solutions. Premier Partners appreciate direct contact with product teams. Several users commend their timely assistance through chat portals, contributing to high ratings, while others desire faster response times. There is admirable satisfaction among numerous organizations.

Amazon EMR's initial setup is described as straightforward and easy by many users. It often requires minimal time for deployment, ranging from 30 minutes to a day, depending on configurations and familiarity with the tool. While some complexities are noted, especially for new users, many find using the AWS Console or Terraform beneficial. Challenges such as configuring multi-factor authentication can arise. Teams generally consist of a few members, with tasks divided among DevOps and cloud specialists.

Amazon EMR is widely perceived as highly scalable, accommodating various user needs related to memory, storage, and GPU. It performs well for enterprises and large organizations with up to thousands of users, allowing flexible scaling. Some report issues with resource allocation timing and computational performance between cloud and on-premises environments. Users mention a scalable platform that can be customized for specific needs, demonstrating reliability in handling extensive data processing tasks.

Amazon EMR is described as a stable and reliable platform by multiple users, with no significant issues noted in terms of stability. Some mention necessary configuration adjustments for optimal performance. Occasional issues arise but are not frequent. The tool is rated high in terms of stability, with some suggesting minor improvements. High availability and data integrity are highlighted, contributing to its reliability. Users consistently find Amazon EMR to be stable.