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  1. Stackups
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  3. Task Scheduling
  4. Workflow Manager
  5. Luigi vs Zenaton

Luigi vs Zenaton

OverviewDecisionsComparisonAlternatives

Overview

Luigi
Luigi
Stacks78
Followers211
Votes9
GitHub Stars18.5K
Forks2.4K
Zenaton
Zenaton
Stacks8
Followers12
Votes12

Luigi vs Zenaton: What are the differences?

Developers describe Luigi 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. On the other hand, Zenaton is detailed as "Workflow Engine as a Service". It is a toolset for developers and data engineers to run and monitor data processes and asynchronous jobs. It makes it really easy and helps developers to programmatically build, run and scale long-running and distributed workflows.

Luigi and Zenaton can be categorized as "Workflow Manager" tools.

Some of the features offered by Luigi are:

  • dependency resolution
  • workflow management
  • visualization

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

  • Monitor every execution
  • Optimize Server Usage
  • Infinitely Scalable

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.

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Advice on Luigi, Zenaton

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

Luigi
Luigi
Zenaton
Zenaton

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.

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.

dependency resolution; workflow management; visualization
Workflows as code - Write domain logic directly in your application code. Include loops, wait function, parallel and asynchronous executions;Background Jobs Manager - Dispatch asynchronous jobs with one line of code;Error Handling - Prevent failures by writing automatic retries or fallback logic. View error data in a central location. Resume, retry or kill processes from the dashboard;Real-Time Monitoring - Insights into overall processes and execution history;Scheduler - Launch jobs on a recurring/delayed schedule or on a specific date;Hosted orchestration engine - Zenaton manages the queuing, and storing of database states and then executes tasks on your workers
Statistics
GitHub Stars
18.5K
GitHub Stars
-
GitHub Forks
2.4K
GitHub Forks
-
Stacks
78
Stacks
8
Followers
211
Followers
12
Votes
9
Votes
12
Pros & Cons
Pros
  • 5
    Hadoop Support
  • 3
    Python
  • 1
    Open soure
Pros
  • 3
    Monitoring
  • 3
    Error Handling
  • 2
    Support
  • 2
    Workflows as code
  • 1
    Multi-language
Integrations
Hadoop
Hadoop
Python
Python
Ruby
Ruby
Heroku
Heroku
PHP
PHP
Node.js
Node.js
Python
Python
Clever Cloud
Clever Cloud

What are some alternatives to Luigi, Zenaton?

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.

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

iLeap

iLeap

ILeap is a low-code app development platform to build custom apps and automate workflows visually, helping you speed up digital transformation.

PromptX

PromptX

PromptX is an AI-powered enterprise knowledge and workflow platform that helps organizations search, discover and act on information with speed and accuracy. It unifies data from SharePoint, Google Drive, email, cloud systems and legacy databases into one secure Enterprise Knowledge System. Using generative and agentic AI, users can ask natural language questions and receive context-rich, verifiable answers in seconds. PromptX ingests and enriches content with semantic tagging, entity recognition and knowledge cards, turning unstructured data into actionable insights. With adaptive prompts, collaborative workspaces and AI-driven workflows, teams make faster, data-backed decisions. The platform includes RBAC, SSO, audit trails and compliance-ready AI governance, and integrates with any LLM or external search engine. It supports cloud, hybrid and on-premise deployments for healthcare, public sector, finance and enterprise service providers. PromptX converts disconnected data into trusted and actionable intelligence, bringing search, collaboration and automation into a single unified experience.

AI Autopilot

AI Autopilot

Agentic AI Platform for Intelligent IT Automation built by MSPs for MSPs. Revolutionize your operations with advanced AI agents.

Camunda

Camunda

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

Workflowy

Workflowy

It is an organizational tool that makes life easier. It's a surprisingly powerful way to take notes, make lists, collaborate, brainstorm, plan and generally organize your brain.

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