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AWS Batch

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193
+ 1
4
AWS Step Functions

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AWS Batch vs AWS Step Functions: What are the differences?

What is AWS Batch? Fully Managed Batch Processing at Any Scale. 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.

What is AWS Step Functions? Build Distributed Applications Using Visual Workflows. AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.

AWS Batch and AWS Step Functions are primarily classified as "Serverless / Task Processing" and "Cloud Task Management" tools respectively.

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Pros of AWS Batch
Pros of AWS Step Functions
  • 2
    Scalable
  • 2
    Containerized
  • 5
    Integration with other services
  • 4
    Pricing
  • 4
    Easily Accessible via AWS Console
  • 3
    Complex workflows
  • 2
    Scalability
  • 2
    High Availability
  • 2
    Workflow Processing

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Cons of AWS Batch
Cons of AWS Step Functions
  • 1
    More overhead than lambda
  • 1
    Image management
    Be the first to leave a con

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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.

    What is AWS Step Functions?

    AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows. Building applications from individual components that each perform a discrete function lets you scale and change applications quickly.

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    What companies use AWS Batch?
    What companies use AWS Step Functions?
    See which teams inside your own company are using AWS Batch or AWS Step Functions.
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    What tools integrate with AWS Batch?
    What tools integrate with AWS Step Functions?
    What are some alternatives to AWS Batch and AWS Step Functions?
    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.
    Beanstalk
    A single process to commit code, review with the team, and deploy the final result to your customers.
    Airflow
    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.
    Kubernetes
    Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.
    Serverless
    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.
    See all alternatives