Software Alternatives & Reviews

Luigi VS Azure Container Instances

Compare Luigi VS Azure Container Instances and see what are their differences

Luigi logo Luigi

Luigi is a Python module that helps you build complex pipelines of batch jobs.

Azure Container Instances logo Azure Container Instances

Easily run application containers in the cloud with a single command. Azure Container Instances lets you get started in seconds and lower your infrastructure costs with per-second billing.
  • Luigi Landing page
    Landing page //
    2023-10-08
  • Azure Container Instances Landing page
    Landing page //
    2023-02-05

Luigi videos

Luigi's Mansion 3 Review

More videos:

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

Azure Container Instances videos

Azure Container Instances Tutorial | Serverless containers in cloud

More videos:

  • Review - Azure Kubernetes Service (AKS) & Azure Container Instances (ACI) For Beginners

Category Popularity

0-100% (relative to Luigi and Azure Container Instances)
Workflow Automation
100 100%
0% 0
Developer Tools
0 0%
100% 100
Workflows
100 100%
0% 0
DevOps Tools
33 33%
67% 67

User comments

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Reviews

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

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.
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

Azure Container Instances Reviews

We have no reviews of Azure Container Instances yet.
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Social recommendations and mentions

Based on our record, Luigi should be more popular than Azure Container Instances. 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.

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 / 8 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 / over 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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Azure Container Instances mentions (6)

  • Similar to AWS Fargate provider?
    Https://azure.microsoft.com/en-us/products/container-instances and as /u/re-thc posted, GKE Autopilot can be that for Google Cloud. Source: about 1 year ago
  • Deploy Application on Azure App Services
    Containerize and deploy the application using one of the container delivery services on Azure like App Services, Container Instances, or Kubernetes Services. - Source: dev.to / over 1 year ago
  • Run Apache APISIX on Microsoft Azure Container Instance
    Apache APISIX is an open-source Microservice API gateway and platform designed for managing microservices requests of high availability, fault tolerance, and distributed system. You can install Apache APISIX by the different methods (Docker, Helm, or RPM) and run it in the various public cloud providers because of its cloud-native behavior. In this post, you will learn how easily run Apache APISIX API Gateway in... - Source: dev.to / almost 2 years ago
  • Calling an API thousands of times in a serverless fashion?
    Yeah datafactory isn’t appropriate for this task. There are custom df tasks you can script up in c# but doesn’t help you here. You have a couple of options but I would suggest azure container instances given your constraints. If you want to orchestrate it using the rest call option in df and long polling then status is the best but you can use logic app as well. ACI is serverless in the sense you maintain no... Source: about 2 years ago
  • How to run long-running Docker Task - Non-web app
    Azure Container Instances may be your best fit: https://azure.microsoft.com/en-us/services/container-instances/. Source: almost 3 years ago
View more

What are some alternatives?

When comparing Luigi and Azure Container Instances, you can also consider the following products

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

Kubernetes - Kubernetes is an open source orchestration system for Docker containers

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

Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.

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

Apache Mesos - Apache Mesos abstracts resources away from machines, enabling fault-tolerant and elastic distributed systems to easily be built and run effectively.