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AWS Step Functions

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+ 1
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Replicated

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AWS Step Functions vs Replicated: What are the differences?

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.

What is Replicated? Deploy your SaaS product on-prem, using Docker. Replicated wraps your containerized cloud application with enterprise-grade features and deploys it behind your customer's firewall, into a corporate data center or into the private cloud.

AWS Step Functions belongs to "Cloud Task Management" category of the tech stack, while Replicated can be primarily classified under "Private SaaS as a Service".

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Pros of AWS Step Functions
Pros of Replicated
  • 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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    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.

    What is Replicated?

    Replicated wraps your containerized cloud application with enterprise-grade features and deploys it behind your customer's firewall, into a corporate data center or into the private cloud.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use AWS Step Functions?
    What companies use Replicated?
    See which teams inside your own company are using AWS Step Functions or Replicated.
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    What tools integrate with AWS Step Functions?
    What tools integrate with Replicated?

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    What are some alternatives to AWS Step Functions and Replicated?
    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.
    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.
    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 Data Pipeline
    AWS Data Pipeline is a web service that provides a simple management system for data-driven workflows. Using AWS Data Pipeline, you define a pipeline composed of the “data sources” that contain your data, the “activities” or business logic such as EMR jobs or SQL queries, and the “schedule” on which your business logic executes. For example, you could define a job that, every hour, runs an Amazon Elastic MapReduce (Amazon EMR)–based analysis on that hour’s Amazon Simple Storage Service (Amazon S3) log data, loads the results into a relational database for future lookup, and then automatically sends you a daily summary email.
    Batch
    Yes, we’re really free. So, how do we keep the lights on? Instead of charging you a monthly fee, we sell ads on your behalf to the top 500 mobile advertisers in the world. With Batch, you earn money each month while accessing great engagement tools for free.
    See all alternatives