streaming-ops VS Streamz

Compare streaming-ops vs Streamz and see what are their differences.

streaming-ops

Simulated production environment running Kubernetes targeting Apache Kafka and Confluent components on Confluent Cloud. Managed by declarative infrastructure and GitOps. (by confluentinc)
Kubernetes Gitops Kafka kafka-connect Confluent confluent-cloud
Source Code
docs.confluent.io
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Streamz

Real-time stream processing for python (by python-streamz)
Queue streaming-data Python Async Real-time
Source Code
streamz.readthedocs.io
Docs
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streaming-ops Streamz
1 3
84 1,217
- 1.5%
0.0 0.0
3 months ago over 1 year ago
Shell Python
Apache License 2.0 BSD 3-clause "New" or "Revised" License
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.

streaming-ops

Posts with mentions or reviews of streaming-ops. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-18.

Streamz

Posts with mentions or reviews of Streamz. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-18.
  • Experiences using Streamz?
    1 project | /r/dataengineering | 27 Feb 2023
    Hi everyone, I am looking into building data pipelines in a way that is as pythonic as possible, I found out about this Streamz project and it integrates well with Dask. Does anyone have any experience using this? My main use would be for fairly simple accumulator pipelines. https://github.com/python-streamz/streamz
  • Saturday Daily Thread: Resource Request and Sharing! Daily Thread
    1 project | /r/Python | 5 Mar 2022
    The best candidate so far is 'streamz', which is simple and lays out a processor in a pipeline. But it doesn't quite have the same level as built in monitoring as apache camel, for better or worse.
  • Choosing a stream processor: Kafka Streaming vs Flink vs Spark Streaming vs Storm vs Samza?
    2 projects | /r/dataengineering | 18 Oct 2021
    I use https://github.com/python-streamz/streamz + Dask for 100% python distributed mini batch real time processing, so we can import any python libraries and less hustle to deploy the server in production. We processed average 120 GB everyday, CDC from Debezium dan Kafka Connect Oracle Big Data Golden Gate.

What are some alternatives?

When comparing streaming-ops and Streamz you can also consider the following projects:

kafka-docker-playground - 🐳✨ Fully automated Apache Kafka® and Confluent Docker based examples // 👷‍♂️ Easily build examples or reproduction models

rq - Simple job queues for Python

flux2-kustomize-helm-example - A GitOps workflow example for multi-env deployments with Flux, Kustomize and Helm.

huey - a little task queue for python

examples - Apache Kafka and Confluent Platform examples and demos

KQ - Kafka-based Job Queue for Python

simpleq - A simple, infinitely scalable, SQS based queue.

mrq - Mr. Queue - A distributed worker task queue in Python using Redis & gevent

kombu - Messaging library for Python.

procrastinate - PostgreSQL-based Task Queue for Python

qoo - A simple library for interacting with Amazon SQS.

rele - Easy to use Google Pub/Sub

streaming-ops vs kafka-docker-playground Streamz vs rq streaming-ops vs flux2-kustomize-helm-example Streamz vs huey streaming-ops vs examples Streamz vs KQ Streamz vs simpleq Streamz vs mrq Streamz vs kombu Streamz vs procrastinate Streamz vs qoo Streamz vs rele