Software Alternatives & Reviews

Luigi VS AWS Step Functions

Compare Luigi VS AWS Step Functions and see what are their differences

Luigi logo Luigi

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

AWS Step Functions logo AWS Step Functions

AWS Step Functions makes it easy to coordinate the components of distributed applications and microservices using visual workflows.
  • Luigi Landing page
    Landing page //
    2023-10-08
  • AWS Step Functions Landing page
    Landing page //
    2023-04-29

Luigi videos

Luigi's Mansion 3 Review

More videos:

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

AWS Step Functions videos

Orchestrating Distributed Business Workflows with AWS Step Functions - AWS Online Tech Talks

More videos:

  • Review - AWS Step Functions: Parallelism and concurrency in Step Functions and AWS Lambda
  • Review - AWS Step Functions: Workflows for development and testing

Category Popularity

0-100% (relative to Luigi and AWS Step Functions)
Workflow Automation
43 43%
57% 57
Project Management
0 0%
100% 100
Workflows
100 100%
0% 0
Web Service Automation
0 0%
100% 100

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 AWS Step Functions

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

AWS Step Functions Reviews

Top 8 Apache Airflow Alternatives in 2024
This service suits for many use cases, such as building ETL pipelines, orchestrating microservices, and managing high workloads. AWS Step Functions is particularly efficient when combined with other AWS solutions: Lambda for computing, Dynamo DB for storage, Athena for Analytics, SageMaker for machine learning, etc.
Source: blog.skyvia.com
10 Best Airflow Alternatives for 2024
AWS Step Functions enable the incorporation of AWS services such as Lambda, Fargate, SNS, SQS, SageMaker, and EMR into business processes, Data Pipelines, and applications. Users and enterprises can choose between 2 types of workflows: Standard (for long-running workloads) and Express (for high-volume event processing workloads), depending on their use case.
Source: hevodata.com

Social recommendations and mentions

Based on our record, AWS Step Functions should be more popular than Luigi. It has been mentiond 57 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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AWS Step Functions mentions (57)

  • Serverless Data Processor using AWS Lambda, Step Functions and Fargate on ECS (with Rust 🦀🦀)
    There are a few ways to solve this of course but one solution I wanted to explore is using AWS Step Functions (https://aws.amazon.com/step-functions/) to drive the whole process. Step Functions is a serverless workflow orchestration system. One part of it is support for a distributed map mode where you can run many parallel operations over a set of data. There are different approaches you can use to get the list... - Source: dev.to / 3 months ago
  • The Energy Drink Episodes 3: The Step Function Awakens
    If you have ever spoken to me, read anything I've written or listened to any talks I’ve done in relation to Serverless or infrastructure as code, there is a high likelihood that I have confessed my love for Step Functions. Even when unprompted. Putting my biases aside, however, there are some legitimate reasons we can consider using them in our app. If you are new to Step Functions or just fancy a refresher, have... - Source: dev.to / 5 months ago
  • Testing Serverless Applications on AWS
    For context; the web application is built with React and TypeScript which makes calls to an AppSync API that makes use of the Lambda and DynamoDB datasources. We use Step Functions to orchestrate the flow of events for complex processing like purchasing and renewing policies, and we use S3 and SQS to process document workloads. - Source: dev.to / 6 months ago
  • Customizing error handling in Step Functions
    If we have to coordinate multiple function calls, we can use AWS Step Functions to orchestrate the workflow. Step Functions integrates with many other AWS services, but here I'll focus on Lambda functions. - Source: dev.to / 12 months ago
  • Amazon Ditches Microservices for Monolith: Decoding Prime Video's Architectural Shift
    Amazon's tool was broken into three main components: the media converter, defect detectors, and orchestration. The media converter ran as an AWS Lambda function, converted audio and video streams, and stored the data in an S3 bucket. The defect detectors, also running as an AWS Lambda function, would pull the parsed data from the S3 bucket and analyze the frames and audio for any issues. Finally, the orchestration... - Source: dev.to / 12 months ago
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What are some alternatives?

When comparing Luigi and AWS Step Functions, you can also consider the following products

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

Zapier - Connect the apps you use everyday to automate your work and be more productive. 1000+ apps and easy integrations - get started in minutes.

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

Nintex - Cloud-based digital workflow management automation platform

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

AWS Lambda - Automatic, event-driven compute service