We performed a comparison between Amazon EC2 and AWS Batch based on real PeerSpot user reviews.
Find out in this report how the two Compute Service solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."The tool's performance, reliability, security and flexibility are good. We can use it remotely. The autoscaling functionality of EC2 is quite good. I appreciate the DevOps suite for tracking development tasks. This functionality is important for pure software development."
"The ethernet configuration is stable and the product is reliable."
"We find it easy to scale."
"The product is easy to set up."
"The most valuable feature of Amazon EC2 is the virtual machines that are available."
"The most valuable features of Amazon EC2 are content delivery and adaptability."
"An advantage of Amazon is that it offers a wide range of infrastructure services with an easy way to configure them."
"The product is easy and quick to set up."
"There is one other feature in confirmation or call confirmation where you can have templates of what you want to do and just modify those to customize it to your needs. And these templates basically make it a lot easier for you to get started."
"AWS Batch's deployment was easy."
"AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling."
"We can easily integrate AWS container images into the product."
"Amazon EC2's pricing could be better."
"Lacks sufficient tools to help users minimize their costs."
"Amazon EC2 could improve by reducing the price."
"Amazon EC2 could improve the console view. The ability to see the console view directly would be helpful, similar to what VMware has. Additionally, when the system is rebooting we are able to see a screenshot of the UI, but it would be a lot better if we could interact directly with the console level."
"We faced a challenge in regard to billing. It took a lot of time because our state is set up in Kenya, so we needed to pay in Kenya currency. We have to go around in circles."
"Amazon EC2 is very expensive, and it would be helpful if they decreased the pricing."
"I would like to see more variety in the operating system images used to create test environments in EC2. There should be more versions and releases. Sometimes, you want to test an update from an old release to a higher version, but you can’t do that with the new images available. You have to use your own."
"This solution could be improved with better pricing. If you continue using this solution over a long period of time, your costs may accumulate."
"AWS Batch needs to improve its documentation."
"The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."
"The main drawback to using AWS Batch would be the cost. It will be more expensive in some cases than using an HPC. It's more amenable to cases where you have spot requirements."
"When we run a lot of batch jobs, the UI must show the history."
Amazon EC2 is ranked 3rd in Compute Service with 60 reviews while AWS Batch is ranked 4th in Compute Service with 4 reviews. Amazon EC2 is rated 8.6, while AWS Batch is rated 9.0. The top reviewer of Amazon EC2 writes "Easy to scale and valuable features include the security group and key management". On the other hand, the top reviewer of AWS Batch writes "User-friendly, good customization and offers exceptional scalability, allowing users to run jobs ranging from 32 cores to over 2,000 cores". Amazon EC2 is most compared with AWS Fargate, Apache Spark, AWS Lambda, Apache NiFi and Google App Engine, whereas AWS Batch is most compared with AWS Lambda, Apache Spark, AWS Fargate, Oracle Compute Cloud Service and Apache NiFi. See our AWS Batch vs. Amazon EC2 report.
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We monitor all Compute Service reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
