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Activeeon VS Luigi

Compare Activeeon VS Luigi and see what are their differences

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Activeeon logo Activeeon

ProActive Workflows & Scheduling is a java-based cross-platform workflow scheduler and resource manager that is able to run workflow tasks in multiple languages and multiple environments: Windows, Linux, Mac, Unix, etc.

Luigi logo Luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs.
  • Activeeon Landing page
    Landing page //
    2022-08-19
  • Luigi Landing page
    Landing page //
    2023-10-08

Activeeon

Categories
  • Workflow Automation
  • DevOps Tools
  • Workflows
Website activeeon.com
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Luigi

Categories
  • DevOps Tools
  • Workflow Automation
  • Workflows
  • Continuous Integration
Website github.com
Edit details

Activeeon videos

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Luigi videos

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Luigi's Mansion 3 Review

More videos:

  • Review - Luigi's Mansion 3 Review
  • Review - Luigi's Mansion 3 - REVIEW (Nintendo Switch)

Category Popularity

0-100% (relative to Activeeon and Luigi)

Activeeon

Luigi

DevOps Tools
38 38%
DevOps Tools
62% 62
Workflow Automation
30 30%
Workflow Automation
70% 70
Containers As A Service
100 100%
Containers As A Service
0% 0
Workflows
17 17%
Workflows
83% 83

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Activeeon and Luigi

Activeeon Reviews

9 Control-M Alternatives & Competitors In 2023
Activeeon provides user interfaces to create workflows, manage job queues, schedule work, and administer the infrastructure. It gives you a single point for control over your IT and business processes. It includes error management, notification, file handling, connectors, docker support and file handling. It can automate and schedule workloads of any size.
Source: www.softwaretestingmaterial.com

Luigi Reviews

5 Airflow Alternatives for Data Orchestration
In this blog post, we will discuss five alternatives to manage workflows: Prefect, Dagster, Luigi, Mage AI, and Kedro. These tools can be used for any field, not just limited to data engineering. By understanding these tools, you'll be able to choose the one that best suits your data and machine learning workflow needs.
Source: www.kdnuggets.com
Top 8 Apache Airflow Alternatives in 2024
Even though Airflow and Luigi have much in common (open-source projects, Python used, Apache license), they have slightly different approaches to data workflow management. The first thing is that Luigi prevents tasks from running individually, which limits scalability. Moreover, Luigi’s API implements fewer features than that of Airflow, which might be especially difficult...
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
Among a popular choice for an Apache Airflow alternative is Luigi. It is a Python package that handles long-running batch processing. This means that it manages the automatic execution of data processing processes on several objects in a batch. A data processing job may be defined as a series of dependent tasks in Luigi.
Source: hevodata.com
Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
When does Luigi make sense? If you need to automate simple ETL processes (like logs) Luigi can handle them rapidly and without much setup. When it comes to complex tasks, Luigi is limited by its strict pipeline-like structure.
Source: www.xplenty.com
Comparison of Python pipeline packages: Airflow, Luigi, Gokart, Metaflow, Kedro, PipelineX
Luigi enables you to define your pipeline by child classes of Task with 3 class methods (requires, output, run) in Python code.
Source: medium.com

Social recommendations and mentions

Based on our record, Luigi seems to be more popular. It has been mentiond 9 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Activeeon mentions (0)

We have not tracked any mentions of Activeeon yet. Tracking of Activeeon recommendations started around Mar 2021.

Luigi mentions (9)

  • 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
  • In the context of Python what is a Bob Job?
    Maybe if your use case is “smallish” and doesn’t require the whole studio suite you could check out apscheduler for doing python “tasks” on a schedule and luigi to build pipelines. Source: almost 2 years ago
  • Lessons Learned from Running Apache Airflow at Scale
    What are you trying to do? Distributed scheduler with a single instance? No database? Are you sure you don't just mean "a scheduler" ala Luigi? https://github.com/spotify/luigi. - Source: Hacker News / almost 2 years ago
  • Apache Airflow. How to make the complex workflow as an easy job
    It's good to know what Airflow is not the only one on the market. There are Dagster and Spotify Luigi and others. But they have different pros and cons, be sure that you did a good investigation on the market to choose the best suitable tool for your tasks. - Source: dev.to / about 2 years ago
  • DevOps Fundamentals for Deep Learning Engineers
    MLOps is a HUGE area to explore, and not surprisingly, there are many startups showing up in this space. If you want to get it on the latest trends, then I would look at workflow orchestration frameworks such as Metaflow (started off at Netflix, is now spinning off into its own enterprise business, https://metaflow.org/), Kubeflow (used at Google, https://www.kubeflow.org/), Airflow (used at Airbnb,... Source: about 2 years ago
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What are some alternatives?

When comparing Activeeon and Luigi, you can also consider the following products

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Metaflow - Framework for real-life data science; build, improve, and operate end-to-end workflows.

Kazuhm - Manage your containerized workloads through Kazuhm's easy to use distributed computing technology. Kazuhm saves cloud costs, improves security and latency.

Azkaban - Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.

Mesosphere DCOS - Mesosphere DCOS organizes your entire infrastructure as if it was a single computer.

Jenkins - Jenkins is an open-source continuous integration server with 300+ plugins to support all kinds of software development

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