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

Camunda

185
216
+ 1
0
Luigi

78
210
+ 1
9
Add tool

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.

Advice on Camunda and Luigi
Needs advice
on
AirflowAirflowLuigiLuigi
and
Apache SparkApache Spark

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.

See more
Replies (1)
Gilroy Gordon
Solution Architect at IGonics Limited · | 2 upvotes · 277.9K views
Recommends
on
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

See more
Manage your open source components, licenses, and vulnerabilities
Learn More
Pros of Camunda
Pros of Luigi
    Be the first to leave a pro
    • 5
      Hadoop Support
    • 3
      Python
    • 1
      Open soure

    Sign up to add or upvote prosMake informed product decisions

    - No public GitHub repository available -

    What is Camunda?

    With Camunda, business users collaborate with developers to model and automate end-to-end processes using BPMN-powered flowcharts that run with the speed, scale, and resiliency required to compete in today’s digital-first world

    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!

    Jobs that mention Camunda and Luigi as a desired skillset
    What companies use Camunda?
    What companies use Luigi?
    Manage your open source components, licenses, and vulnerabilities
    Learn More

    Sign up to get full access to all the companiesMake informed product decisions

    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.
    MySQL
    The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.
    PostgreSQL
    PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.
    MongoDB
    MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.
    See all alternatives