Compare AWS Batch vs. Amazon EC2 Auto Scaling

Amazon EC2 Auto Scaling is ranked 12th in Compute Service while AWS Batch is ranked 8th in Compute Service. Amazon EC2 Auto Scaling is rated 0, while AWS Batch is rated 0. On the other hand, Amazon EC2 Auto Scaling is most compared with , whereas AWS Batch is most compared with Apache Spark, AWS Fargate and AWS Lambda.
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Amazon EC2 Auto Scaling Logo
8 views|7 comparisons
AWS Batch Logo
246 views|240 comparisons
Ranking
12th
out of 13 in Compute Service
Views
8
Comparisons
7
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
8th
out of 13 in Compute Service
Views
246
Comparisons
240
Reviews
0
Average Words per Review
0
Avg. Rating
N/A
Top Comparisons
Compared 45% of the time.
Compared 37% of the time.
Compared 19% of the time.
Also Known As
AWS RAMAmazon Batch
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Overview

Amazon EC2 Auto Scaling helps you maintain application availability and allows you to automatically add or remove EC2 instances according to conditions you define. ... Dynamic scaling responds to changing demand and predictive scaling automatically schedules the right number of EC2 instances based on predicted demand.

AWS Batch enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (e.g., CPU or memory optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. With AWS Batch, there is no need to install and manage batch computing software or server clusters that you use to run your jobs, allowing you to focus on analyzing results and solving problems. AWS Batch plans, schedules, and executes your batch computing workloads across the full range of AWS compute services and features, such as Amazon EC2 and Spot Instances.

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Sample Customers
Expedia, Intuit, Royal Dutch Shell, Brooks Brothers
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