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AWS Step Functions vs Commentit: What are the differences?
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; Commentit: Comments on GitHub pages. Comm(ent|it) uses the Github API and Jekyll to help you store visitors comments directly in your repository.
AWS Step Functions can be classified as a tool in the "Cloud Task Management" category, while Commentit is grouped under "Comment Plugins".
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Pros of AWS Step Functions
- Integration with other services7
- Easily Accessible via AWS Console5
- Complex workflows5
- Pricing5
- Scalability3
- Workflow Processing3
- High Availability3
Pros of Commentit
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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 Commentit?
Comm(ent|it) uses the Github API and Jekyll to help you store visitors comments directly in your repository.
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What companies use AWS Step Functions?
What companies use Commentit?
What companies use AWS Step Functions?
What companies use Commentit?
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What tools integrate with AWS Step Functions?
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What are some alternatives to AWS Step Functions and Commentit?
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.