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  1. Stackups
  2. Utilities
  3. Task Scheduling
  4. Workflow Manager
  5. Camunda vs Luigi

Camunda vs Luigi

OverviewDecisionsComparisonAlternatives

Overview

Camunda
Camunda
Stacks192
Followers216
Votes0
Luigi
Luigi
Stacks78
Followers211
Votes9
GitHub Stars18.5K
Forks2.4K

Camunda vs Luigi: What are the differences?

Developers describe Camunda as "A Workflow and Decision Automation Platform". It is an open source platform for workflow and decision automation that brings business users and software developers together. On the other hand, Luigi is detailed as "*ETL and data flow management library *". 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.

Camunda and Luigi can be primarily classified as "Workflow Manager" tools.

Luigi is an open source tool with 12K GitHub stars and 1.98K GitHub forks. Here's a link to Luigi's open source repository on GitHub.

According to the StackShare community, Camunda has a broader approval, being mentioned in 4 company stacks & 7 developers stacks; compared to Luigi, which is listed in 6 company stacks and 3 developer stacks.

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Advice on Camunda, Luigi

Anonymous
Anonymous

Jan 19, 2020

Needs advice

I am so confused. I need a tool that will allow me to go to about 10 different URLs to get a list of objects. Those object lists will be hundreds or thousands in length. I then need to get detailed data lists about each object. Those detailed data lists can have hundreds of elements that could be map/reduced somehow. My batch process dies sometimes halfway through which means hours of processing gone, i.e. time wasted. I need something like a directed graph that will keep results of successful data collection and allow me either pragmatically or manually to retry the failed ones some way (0 - forever) times. I want it to then process all the ones that have succeeded or been effectively ignored and load the data store with the aggregation of some couple thousand data-points. I know hitting this many endpoints is not a good practice but I can't put collectors on all the endpoints or anything like that. It is pretty much the only way to get the data.

294k views294k
Comments

Detailed Comparison

Camunda
Camunda
Luigi
Luigi

Camunda enables organizations to operationalize and automate AI, integrating human tasks, existing and future systems without compromising security, governance, or innovation.

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.

Agentic orchestration; Process orchestration; Workflow automation; Decision automation
dependency resolution; workflow management; visualization
Statistics
GitHub Stars
-
GitHub Stars
18.5K
GitHub Forks
-
GitHub Forks
2.4K
Stacks
192
Stacks
78
Followers
216
Followers
211
Votes
0
Votes
9
Pros & Cons
No community feedback yet
Pros
  • 5
    Hadoop Support
  • 3
    Python
  • 1
    Open soure
Integrations
Twilio SendGrid
Twilio SendGrid
Asana
Asana
HubSpot
HubSpot
Slack
Slack
GitLab
GitLab
ActiveMQ
ActiveMQ
RabbitMQ
RabbitMQ
Kafka
Kafka
Redis
Redis
Google Cloud VPC
Google Cloud VPC
Hadoop
Hadoop
Python
Python

What are some alternatives to Camunda, Luigi?

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.

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.

ETLR

ETLR

Production-grade workflow automation. No drag-and-drop required. Build, version, and deploy your workflows with YAML.

Page d'accueil

Page d'accueil

Thaink² Analytics, la plateforme data et IA de nouvelles génération pour gérer vos projets de bout-en-bout. Fini les pipelines de données instables, les modèles ML/IA qui restent au stade du POC.

Fermi Dev

Fermi Dev

Is the AI Operational Brain for Modern Enterprises. Connect your systems, build dynamic models, and automate business processes with intelligent agents.

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