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  1. Stackups
  2. Utilities
  3. Task Scheduling
  4. Workflow Manager
  5. Couler vs Digdag

Couler vs Digdag

OverviewComparisonAlternatives

Overview

Digdag
Digdag
Stacks17
Followers22
Votes0
GitHub Stars1.3K
Forks230
Couler
Couler
Stacks0
Followers2
Votes0
GitHub Stars943
Forks88

Couler vs Digdag: What are the differences?

Developers describe Couler as "Unified interface for constructing and managing workflows on different workflow engines". It aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow. On the other hand, Digdag is detailed as "An open source and multi-cloud workflow engine". It is a simple tool that helps you to build, run, schedule, and monitor complex pipelines of tasks. It handles dependency resolution so that tasks run in series or in parallel.

Couler and Digdag can be primarily classified as "Workflow Manager" tools.

Some of the features offered by Couler are:

  • Unified interface and imperative programming style for defining workflows with automatic construction of directed acyclic graph (DAG)
  • Extensible to support various workflow engines
  • Reusable steps for tasks such as distributed training of machine learning models

On the other hand, Digdag provides the following key features:

  • Multi-Cloud
  • Multi-lingual
  • Error handling

Digdag is an open source tool with 923 GitHub stars and 157 GitHub forks. Here's a link to Digdag's open source repository on GitHub.

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Detailed Comparison

Digdag
Digdag
Couler
Couler

It is a simple tool that helps you to build, run, schedule, and monitor complex pipelines of tasks. It handles dependency resolution so that tasks run in series or in parallel.

It aims to provide a unified interface for constructing and managing workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

Multi-Cloud;Multi-lingual;Error handling; Modular; Extensible;Admin UI
Unified interface and imperative programming style for defining workflows with automatic construction of directed acyclic graph (DAG); Extensible to support various workflow engines; Reusable steps for tasks such as distributed training of machine learning models; Automatic workflow and resource optimizations under the hood
Statistics
GitHub Stars
1.3K
GitHub Stars
943
GitHub Forks
230
GitHub Forks
88
Stacks
17
Stacks
0
Followers
22
Followers
2
Votes
0
Votes
0
Integrations
Dropbox
Dropbox
Google Drive
Google Drive
Hadoop
Hadoop
WordPress
WordPress
Jira
Jira
Python
Python
Argo
Argo
Airflow
Airflow
Kubeflow
Kubeflow

What are some alternatives to Digdag, Couler?

Airflow

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.

GitHub Actions

GitHub Actions

It makes it easy to automate all your software workflows, now with world-class CI/CD. Build, test, and deploy your code right from GitHub. Make code reviews, branch management, and issue triaging work the way you want.

Apache Beam

Apache Beam

It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.

Zenaton

Zenaton

Developer framework to orchestrate multiple services and APIs into your software application using logic triggered by events and time. Build ETL processes, A/B testing, real-time alerts and personalized user experiences with custom logic.

Luigi

Luigi

It is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.

Unito

Unito

Build and map powerful workflows across tools to save your team time. No coding required. Create rules to define what information flows between each of your tools, in minutes.

Shipyard

Shipyard

na

Flow-Like

Flow-Like

Mission-critical automation you can audit, control and run on-prem. No black boxes. No silent failures. No data leaks. Built for teams that cannot afford uncertainty.

Vison AI

Vison AI

Hire AI Employees that deliver Human-Quality work. Automate repetitive tasks, scale effortlessly, and focus on business growth without increasing head count.

Flumio

Flumio

Flumio is a modern automation platform that lets you build powerful workflows with a simple drag-and-drop interface. It combines the power of custom development with the speed of a no-code/low-code tool. Developers can still embed custom logic directly into workflows.

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