Dkron VS Apache Airflow

Dkron Reviews

Apache Airflow Reviews

Dkron mentions (5)

• Suggestions for CRON jobs queue tool

  My SaaS is not that big and doesn't need very complicated CRON management. I tried different options like dkron but it doesn't hold any job data after for example removing the container, according to a discusion issue I created. Source: about 1 year ago

• How to do distributed cronjobs with worker queues?

  Well, you can either use this as an example or use it cause the work is done: dkron. Source: over 1 year ago

• Distributed job scheduling with Go?

  I'am also familiar to hangfire, used in the past as distributed job scheduler for Owin microservices in C# too. Btw when we moved towards Golang stack realized that hangfire wasnt really necessary. It was enough standard and idiomatic Go code, learning using Go Routine adding any Cron library and maybe a Redis dependency if persistence is needed. But if you really prefer something hangfire-like, give a try to... Source: about 2 years ago

• Easy Distributed Cron Management

  Perhaps https://dkron.io/ can solve your problem? Source at https://github.com/distribworks/dkron. Source: over 2 years ago

• How does one get live production experience?

  Oops, my bad. I was trying to refer to dkron https://dkron.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 / 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