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What is AWS Batch?

It enables developers, scientists, and engineers to easily and efficiently run hundreds of thousands of batch computing jobs on AWS. It 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.
AWS Batch is a tool in the Serverless / Task Processing category of a tech stack.

Who uses AWS Batch?

12 companies reportedly use AWS Batch in their tech stacks, including Entelo, OpenGamma, and KTech.

6 developers on StackShare have stated that they use AWS Batch.

Why developers like AWS Batch?

Here’s a list of reasons why companies and developers use AWS Batch
Top Reasons
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AWS Batch Alternatives & Comparisons

What are some alternatives to AWS Batch?
AWS Lambda
AWS Lambda is a compute service that runs your code in response to events and automatically manages the underlying compute resources for you. You can use AWS Lambda to extend other AWS services with custom logic, or create your own back-end services that operate at AWS scale, performance, and security.
A single process to commit code, review with the team, and deploy the final result to your customers.
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
Build applications comprised of microservices that run in response to events, auto-scale for you, and only charge you when they run. This lowers the total cost of maintaining your apps, enabling you to build more logic, faster. The Framework uses new event-driven compute services, like AWS Lambda, Google CloudFunctions, and more.
Cloud Functions for Firebase
Cloud Functions for Firebase lets you create functions that are triggered by Firebase products, such as changes to data in the Realtime Database, uploads to Cloud Storage, new user sign ups via Authentication, and conversion events in Analytics.
See all alternatives

AWS Batch's Followers
6 developers follow AWS Batch to keep up with related blogs and decisions.
joe s
Ryan Hicks
Dawn James
Christian Vasquez