dumbo VS streamparse

Compare dumbo vs streamparse and see what are their differences.


Python module that allows one to easily write and run Hadoop programs. (by klbostee)


Run Python in Apache Storm topologies. Pythonic API, CLI tooling, and a topology DSL. (by Parsely)
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dumbo streamparse
0 1
1,047 1,463
- 0.1%
0.0 4.0
over 4 years ago 3 months ago
Python 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.
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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.


Posts with mentions or reviews of dumbo. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning dumbo yet.
Tracking mentions began in Dec 2020.


Posts with mentions or reviews of streamparse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-07-13.
  • Apache Heron: A realtime, distributed, fault-tolerant stream processing engine
    2 projects | news.ycombinator.com | 13 Jul 2021
    Wonder why this is getting posted today in particular?

    The quick summary here is that this was a clean-house rewrite of Apache Storm done by an internal team at Twitter. As an open source project history refresher, Apache Storm was originally built by a startup called Backtype, and the project was led by Nathan Marz, the technical founder of Backtype. Then, Backtype was acquired by Twitter, and Storm became a major component for large-scale stream processing (of tweets, tweet analytics, and other things) at Twitter.

    I wrote a summary of the "interesting bits" of Apache Storm here:


    However, at a certain point, Nathan Marz left Twitter, and a different group of engineers tried to rethink Storm inside Twitter. There was also a lot of work going on around Apache Mesos at the time. Heron is kind of a merger of their "rethinking" of Storm while also making it possible to manage Storm-like Heron clusters using Mesos.

    But, I don't think Heron really took off. Meanwhile, Storm got very, very stable in the 1.x series, and then had a clean-house rewrite from Clojure to Java in the 2.x series. The last stable/major Storm release was in 2020.

    Storm provides a stream processing programming API, a multi-lang wire protocol, and a cluster management approach. But certain cluster computing problems can probably be better solved at the infrastructure layer today. That said, it's still a very powerful system; on my team, we process 75K+ events per second across hundreds of vCPU cores and thousands of Python processes by combining Storm and Kafka with our open source project, streamparse.


    (Also, I'd be remiss if I didn't mention -- if you're interested in stream processing and distributed computing, we are hiring Python Data Engineers to work on a stack involving Storm, Spark, Kafka, Cassandra, etc.) -- https://www.parse.ly/careers/python_data_engineer

What are some alternatives?

When comparing dumbo and streamparse you can also consider the following projects:

mrjob - Run MapReduce jobs on Hadoop or Amazon Web Services

Apache Spark - Apache Spark - A unified analytics engine for large-scale data processing

luigi - 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.

dpark - Python clone of Spark, a MapReduce alike framework in Python

data-science-ipython-notebooks - Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.