We performed a comparison between AWS Batch and AWS Fargate 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."AWS Batch manages the execution of computing workload, including job scheduling, provisioning, and scaling."
"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's deployment was easy."
"AWS Fargate has many valuable services. It does the job with minimal trouble. It's very observable. You can see what's going on and you have logs. You have everything. You can troubleshoot it. It's affordable and it's flexible."
"Fargate itself is a stable product. We are quite satisfied with its performance."
"I like their containerization service. You can use Docker or something similar and deploy quickly without the know-how related to, for example, Kubernetes. If you use AKS or Kubernetes, then you have to have the know-how. But for Fargate, you don't need to have the know-how there. You just deploy the container or the image, and then you have the container, and you can use it as AWS takes care of the rest. This makes it easier for those getting started or if you don't have a strong DevOps team inside your organization."
"We appreciate the simple use of containers within this solution, it makes managing the containers quick and easy."
"If you create your deployment with a good set of rules for how to scale in, you can just set it and forget it."
"The most valuable feature of AWS Fargate is its ease of use."
"The solution should include better and seamless integration with other AWS services, like Amazon S3 data storage and EC2 compute resources."
"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."
"AWS Batch needs to improve its documentation."
"The main area for improvement is the cost, which could be lowered to be more competitive with other major cloud providers."
"We faced challenges in vertically scaling our workload."
"We would like to see some improvement in the process documents that are provided with this product, particularly for auto-scaling and other configuration tools that are a bit complicated."
"I would like to see the older dashboard instead of the newer version. I don't like the new dashboard."
"I heard from my team that it's not easy to predict the cost. That is the only issue we have with AWS Fargate, but I think that's acceptable. AWS Fargate isn't user-friendly. Anything related to Software as a Service or microservice architecture is not easy to implement. You're required to have DevOps from your side to implement the solution. AWS Fargate is just a temporary solution for us. When we grow to a certain level, we may use AKS for better control."
"AWS Fargate could improve the privileged mode containers. We had some problems and they were not able to run."
AWS Batch is ranked 4th in Compute Service with 4 reviews while AWS Fargate is ranked 6th in Compute Service with 6 reviews. AWS Batch is rated 9.0, while AWS Fargate is rated 8.6. 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". On the other hand, the top reviewer of AWS Fargate writes "Efficiently auto-scales and good performance". AWS Batch is most compared with AWS Lambda, Apache Spark, Oracle Compute Cloud Service, Amazon EC2 Auto Scaling and Amazon EC2, whereas AWS Fargate is most compared with Amazon EC2 Auto Scaling, Amazon EC2, AWS Lambda, Apache Spark and Oracle Compute Cloud Service. See our AWS Batch vs. AWS Fargate report.
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