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."Amazon EC2 Auto Scaling operates at a different level, working in parallel to efficiently manage workload distribution. Primarily, it focuses on orchestration rather than directly managing EC2 instances for deployment and configuration. It uses automated processes to deploy and manage ports, leveraging Application Load Balancers to effectively handle data communication and management."
"The product is flexible."
"Sometimes, Auto Scaling is more beneficial, and sometimes, Reserved Instances are preferred, especially for longer-term usage."
"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 removes the need for hardware. We can easily create servers or machines. Just by clicking or specifying our requirements, like memory size or disk space, it's set up for us. The tool eliminates the need for hardware. We can choose what we need and pay as we use it. It is flexible and can integrate with any product."
"The solution incorporates ease of maintenance and reduction in operational overhead and costs. Patching is also easy."
"The solution is highly scalable."
"The product's most valuable features are high availability and persistence."
"AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling."
"AWS Batch's deployment was easy."
"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."
"It should work for the cloud, cloud monitoring features, and DevOps processes. It should automatically enable features for downscaling and upscaling."
"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."
"If your EC2 instance doesn't boot up, you're in the dark about what's happening. It would be amazing if you could get a view of the console to see the status. There's something called the AWS Console, which is a web portal. I would like to see a virtual screen of an instance that hasn't started properly, so I can see where it crashed."
"The product should improve vertical scaling features."
"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."
"When creating a new instance there is a set of questions that have to be answered, and this is something that can be simplified."
"The solution's pricing is expensive. You pay based on how much you use it, like paying for the time or hours you use the service. There's no need to buy hardware separately."
"I would like to see a feature included that has the capability to clone when an instance is being terminated."
"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."
"When we run a lot of batch jobs, the UI must show the history."
"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.
