Cadence Workflow VS Apache Airflow

Cadence Workflow Reviews

Apache Airflow Reviews

Cadence Workflow mentions (7)

• [P] My co-founder and I quit our engineering jobs at AWS to build “Tensor Search”. Here is why.

  Emit events from your primary DB (postgres, etc.) to something like kafka or rabbitmq and then catch that in your search engine. There's also some end-to-end solutions like temporal (temporal.io) or cadence (https://cadenceworkflow.io/). Source: over 1 year ago

• How can you ensure all Microservices have finished their tasks?

  You should definitely check Uber Cadence https://cadenceworkflow.io/. Source: almost 2 years ago

• Apache Hop 2.0

  Cadence: https://cadenceworkflow.io. - Source: Hacker News / almost 2 years ago

• Which schedule technology you would choose for a new project?

  Dear community, I will be please to get your feedback to choose a schedule engine in 2022 in microservice context. On this field they are at least 2 challengers to me, ¹ nomad from hashicorp and ² cadence from uber. While kubernetes lead this field. Source: over 2 years ago

• Do you know of a robust library that handles persistent job scheduling and queuing using PostgreSQL

  There's cadence which is made by Uber: https://cadenceworkflow.io/. Source: over 2 years 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 / 3 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