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Camunda vs Luigi: What are the differences?

Developers describe Camunda as "A Workflow and Decision Automation Platform". It is an open source platform for workflow and decision automation that brings business users and software developers together. On the other hand, Luigi is detailed 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.

Camunda and Luigi can be primarily classified as "Workflow Manager" tools.

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.

According to the StackShare community, Camunda has a broader approval, being mentioned in 4 company stacks & 7 developers stacks; compared to Luigi, which is listed in 6 company stacks and 3 developer stacks.

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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.

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Gilroy Gordon
Solution Architect at IGonics Limited · | 2 upvotes · 165.9K views
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CassandraCassandra

For a non-streaming approach:

You could consider using more checkpoints throughout your spark jobs. Furthermore, you could consider separating your workload into multiple jobs with an intermittent data store (suggesting cassandra or you may choose based on your choice and availability) to store results , perform aggregations and store results of those.

Spark Job 1 - Fetch Data From 10 URLs and store data and metadata in a data store (cassandra) Spark Job 2..n - Check data store for unprocessed items and continue the aggregation

Alternatively for a streaming approach: Treating your data as stream might be useful also. Spark Streaming allows you to utilize a checkpoint interval - https://spark.apache.org/docs/latest/streaming-programming-guide.html#checkpointing

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    - No public GitHub repository available -

    What is Camunda?

    It is an open source platform for workflow and decision automation that brings business users and software developers together.

    What is Luigi?

    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.

    Need advice about which tool to choose?Ask the StackShare community!

    What companies use Camunda?
    What companies use Luigi?
    See which teams inside your own company are using Camunda or Luigi.
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    What tools integrate with Camunda?
    What tools integrate with Luigi?
    What are some alternatives to Camunda and Luigi?
    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.
    Conductor
    Conductor is an orchestration engine that runs in the cloud.
    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
    It implements batch and streaming data processing jobs that run on any execution engine. It executes pipelines on multiple execution environments.
    Microsoft Power Automate
    It is a service that helps you create automated workflows between your favorite apps and services to synchronize files, get notifications, collect data and more.
    See all alternatives