Apache Spark VS luigi

Compare Apache Spark vs luigi and see what are their differences.

Apache Spark

Apache Spark - A unified analytics engine for large-scale data processing (by apache)


Luigi 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. (by spotify)
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Apache Spark luigi
48 12
32,962 15,690
1.8% 1.2%
10.0 7.4
1 day ago 16 days ago
Scala Python
Apache License 2.0 Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Apache Spark

Posts with mentions or reviews of Apache Spark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-10.


Posts with mentions or reviews of luigi. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-23.
  • Lessons Learned from Running Apache Airflow at Scale
    12 projects | news.ycombinator.com | 23 May 2022
    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
  • Apache Airflow. How to make the complex workflow as an easy job
    1 project | dev.to | 20 Feb 2022
    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.
  • DevOps Fundamentals for Deep Learning Engineers
    6 projects | reddit.com/r/deeplearning | 20 Feb 2022
    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, https://airflow.apache.org/), and Luigi (used at Spotify, https://github.com/spotify/luigi). Then you have the model serving itself, so there is Seldon (https://www.seldon.io/), Torchserve (https://pytorch.org/serve/), and TensorFlow Serving (https://www.tensorflow.org/tfx/guide/serving). You also have the actual export and transfer of DL models, and ONNX is the most popular here (https://onnx.ai/). Spark (https://spark.apache.org/) still holds up nicely after all these years, especially if you are doing batch predictions on massive amount of data. There is also the GitFlow way of doing things and Data Version Control (DVC, https://dvc.org/) is taken a pole position there.
  • Data pipelines with Luigi
    4 projects | dev.to | 22 Dec 2021
    At Wonderflow we're doing a lot of ML / NLP using Python and recently we are enjoying writing data pipelines using Spotify's Luigi.
  • Noobie who is trying to use K8s needs confirmation to know if this is the way or he is overestimating Kubernetes.
    3 projects | reddit.com/r/kubernetes | 20 Oct 2021
  • Open Source ETL Project For Startups
    3 projects | dev.to | 22 Sep 2021
    💡【About Luigi】 https://github.com/spotify/luigi Luigi was built at Spotify since 2012, it's open source and mainly used for getting data insights by showing recommendations, toplists, A/B test analysis, external reports, internal dashboards, etc.
  • Resources/tutorials to help me learn about ETL?
    1 project | reddit.com/r/dataengineering | 29 Jun 2021
  • Using Terraform to make my many side-projects 'pick up and play'
    3 projects | dev.to | 14 Jun 2021
    So to sum that up, I went from having nothing for my side-project set up in AWS to having a Kubernetes cluster with the basic metrics and dashboard, a proper IAM-linked ServiceAccount support for a smooth IAM experience in K8s, and Luigi deployed so that I could then run a Luigi workflow using an ad-hoc run of a CronJob. That's quite remarkable to me. All that took hours to figure out and define when I first did it, over six months ago.
  • How to best integrate make-like functionality with invoke tasks/library?
    1 project | reddit.com/r/Python | 22 Mar 2021
    I have an invoke script and now it needs some make-like functionality. I could use make to call some invoke tasks, but I'm looking for a more integrated approach. Does anybody have experience using invoke with python-based build automation tools like doit or luigi?
  • Creating a scalable Flask Application
    1 project | reddit.com/r/flask | 26 Jan 2021
    By the way, your original app description looks like "job pipeline", why don't you use https://airflow.apache.org/ or https://github.com/spotify/luigi or similar?

What are some alternatives?

When comparing Apache Spark and luigi you can also consider the following projects:

Trino - Official repository of Trino, the distributed SQL query engine for big data, formerly known as PrestoSQL (https://trino.io)

Airflow - Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

Kedro - A Python framework for creating reproducible, maintainable and modular data science code.

Scalding - A Scala API for Cascading

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

Pytorch - Tensors and Dynamic neural networks in Python with strong GPU acceleration

Smile - Statistical Machine Intelligence & Learning Engine


Apache Arrow - Apache Arrow is a multi-language toolbox for accelerated data interchange and in-memory processing

Apache Calcite - Apache Calcite