We performed a comparison between Amazon EC2 Auto Scaling 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."We appreciate that this solution allows us to run all of our severs through it, meaning that our workloads are mainly on the EC2 instance only."
"The integration capabilities are good."
"Applications deployed on EC2 instances can easily integrate with other AWS services. For example, you can connect your EC2 Auto Scaling group to a tool like CloudWatch for health checks and anomaly detection."
"The solution is highly scalable."
"The product’s most valuable feature is the seamless resizing of web connection."
"Service for launching or terminating Amazon EC2 instances, with good scalability and stability."
"One of the most important benefits is that a company can optimize resources because Auto Scaling deploys resources when needed. For example, for Black Friday, a company can deploy 100 servers for a couple of days. When Black Friday is over, the company can delete those servers."
"The initial setup of Amazon EC2 Auto Scaling is easy...Since we are an enterprise-sized company and a client of Amazon, the response from the technical support team was immediate."
"We can easily integrate AWS container images into the product."
"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 manages the execution of computing workload, including job scheduling, provisioning, and scaling."
"AWS Batch's deployment was easy."
"The documentation for this solution could be improved. For example, it is difficult to find documentation for integration with applications."
"The launch configuration feature doesn't work properly. It needs to improve the load configuration feature along with launch templates. The tool needs to tag feature as well."
"There should be an AWS instance in South Africa, where the latency would be even lower. It might happen soon since AWS has recently opened more data centres in Nigeria. AWS may extend its reach to South Africa, and offer hosted CLI servers there. Most of the problems with AWS are not to do with the solution itself but with configuration. It is something on design, more or less."
"Amazon EC2 Auto Scaling offers various benefits but lacks certain features for fine-grained customization compared to other cloud providers like GCP. Users are constrained by predefined instance families in EC2 when selecting instance types for scaling. Unlike GCP, where users can independently scale resources such as memory or CPU, EC2 doesn't offer this flexibility."
"There is room for improvement in the pricing model."
"The product does not explain why a particular instance is terminated."
"The support to manage the processes could be better."
"Scalability can be improved."
"When we run a lot of batch jobs, the UI must show the history."
"The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."
"AWS Batch needs to improve its documentation."
"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."
Amazon EC2 Auto Scaling is ranked 2nd in Compute Service with 39 reviews while AWS Batch is ranked 4th in Compute Service with 4 reviews. Amazon EC2 Auto Scaling is rated 8.8, while AWS Batch is rated 9.0. The top reviewer of Amazon EC2 Auto Scaling writes "Well-documented setup process and highly stable solution". 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 Auto Scaling is most compared with AWS Fargate, AWS Lambda, Oracle Compute Cloud Service and Amazon Elastic Inference, whereas AWS Batch is most compared with AWS Lambda, Apache Spark, AWS Fargate, Oracle Compute Cloud Service and Amazon EC2. See our AWS Batch vs. Amazon EC2 Auto Scaling 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.
