AWS AppSync VS Apache Airflow

AWS AppSync Reviews

Apache Airflow Reviews

AWS AppSync mentions (30)

• Testing Serverless Applications on AWS

  For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 6 months ago

• Workarounds for AppSync Subscriptions triggers via Lambda functions

  AWS AppSync is a serverless GraphQL offering by AWS, previously I authored a blog about AWS AppSync 101 which gets you up to speed with the capabilities of AppSync and how you can leverage them in your serverless applications. - Source: dev.to / 7 months ago

• Serverless development with Amplify Studio

  Amplify Studio's Data allows you to define Amazon DynamoDB keeping in mind the properties with the right type and also powered with AWS AppSync where which generates a GraphQL schema under the hood. - Source: dev.to / 7 months ago

• Serverless APIs

  AWS AppSync I'm keeping this section a bit shorter for you all, since AppSync is not something I have actually used personally, but have heard great things about. AppSync is another API option AWS has made available specifically for applications that want to take advantage of GraphQL or a Publish/Subscribe model. The GraphQL model may be of interest to front end developers that need to query multiple sources of... - Source: dev.to / about 1 year ago

• React Signup/Login/Account Settings application With Amplify

  Amplify is a set of tools that allows full-stack web and mobile developers to create and build apps. It makes using AWS services, like our Cognito identity and access management service, or our managed GraphQL service AppSync, much simpler and straight forward to use. - Source: dev.to / over 1 year ago

Apache Airflow mentions (65)

• The 2024 Web Hosting Report

  For the third, examples here might be analytics plugins in specialized databases like Clickhouse, data-transformations in places like your ETL pipeline using Airflow or Fivetran, or special integrations in your authentication workflow with Auth0 hooks and rules. - Source: dev.to / 2 months ago

• Best ETL Tools And Why To Choose

  Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. The platform features a web-based user interface and a command-line interface for managing and triggering workflows. Source: 6 months ago

• Simplifying Data Transformation in Redshift: An Approach with DBT and Airflow

  Airflow is the most widely used and well-known tool for orchestrating data workflows. It allows for efficient pipeline construction, scheduling, and monitoring. - Source: dev.to / 6 months ago

• Share Your favorite python related software!

  AIRFLOW This is more of a library in my opinion, but Airflow has become an essential tool for scheduling in my work. All our ML training pipelines are ordered and scheduled with Airflow and it works seamlessly. The dashboard provided is also fantastic! Source: 7 months ago

• Ask HN: What is the correct way to deal with pipelines?

  I agree there are many options in this space. Two others to consider: - https://airflow.apache.org/ - https://github.com/spotify/luigi There are also many Kubernetes based options out there. For the specific use case you specified, you might even consider a plain old Makefile and incrond if you expect these all to run on a single host and be triggered by a new file... - Source: Hacker News / 7 months ago