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Dask VS Kafka

Compare Dask VS Kafka and see what are their differences

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  2. » Videos
  3. » Reviews
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Dask logo Dask

Dask natively scales Python Dask provides advanced parallelism for analytics, enabling performance at scale for the tools you love

Kafka logo Kafka

Apache Kafka is publish-subscribe messaging rethought as a distributed commit log.
  • Dask Landing page
    Landing page //
    2022-08-26
  • Kafka Landing page
    Landing page //
    2022-12-24

Dask videos

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DASK and Apache SparkGurpreet Singh Microsoft Corporation

More videos:

  • Review - VLOGTOBER : dask kitchen review ,groceries ,drinks
  • Review - Dask Futures: Introduction

Kafka videos

+ Add

Franz Kafka - In The Penal Colony BOOK REVIEW

More videos:

  • Review - LITERATURE: Franz Kafka
  • Review - The Trial (Franz Kafka) – Thug Notes Summary & Analysis

Category Popularity

0-100% (relative to Dask and Kafka)

Dask

Kafka

Workflows
100 100%
Workflows
0% 0
Log Management
0 0%
Log Management
100% 100
Databases
100 100%
Databases
0% 0
Data Integration
0 0%
Data Integration
100% 100

User comments

Share your experience with using Dask and Kafka. For example, how are they different and which one is better?
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Reviews

These are some of the external sources and on-site user reviews we've used to compare Dask and Kafka

Dask Reviews

Python & ETL 2020: A List and Comparison of the Top Python ETL Tools
Dask: You can use Dask for Parallel computing via task scheduling. It can also process continuous data streams. Again, this is part of the "Blaze Ecosystem."
Source: www.xplenty.com

Kafka Reviews

6 Best Kafka Alternatives: 2022’s Must-know List
In this article, you learned about Kafka, its features, and some top Kafka Alternatives. Even though Kafka is widely used, the technology segment has advanced to the point where other options can overshadow Kafka’s cons. There are various options available for choosing a stream processing solution. Organizations are increasingly embracing event-driven architectures powered...
Source: hevodata.com

Social recommendations and mentions

Based on our record, Dask seems to be more popular. It has been mentiond 16 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Dask mentions (16)

  • Large Scale Hydrology: Geocomputational tools that you use
    We're using a lot of Python. In addition to these, gridMET, Dask, HoloViz, and kerchunk. Source: about 2 years ago
  • msgspec - a fast & friendly JSON/MessagePack library
    I wrote this for speeding up the RPC messaging in dask, but figured it might be useful for others as well. The source is available on github here: https://github.com/jcrist/msgspec. Source: about 2 years ago
  • What does it mean to scale your python powered pipeline?
    Dask: Distributed data frames, machine learning and more. - Source: dev.to / over 2 years ago
  • Data pipelines with Luigi
    To do that, we are efficiently using Dask, simply creating on-demand local (or remote) clusters on task run() method:. - Source: dev.to / over 2 years ago
  • How to load 85.6 GB of XML data into a dataframe
    I’m quite sure dask helps and has a pandas like api though will use disk and not just RAM. Source: over 2 years ago
View more

Kafka mentions (0)

We have not tracked any mentions of Kafka yet. Tracking of Kafka recommendations started around Mar 2021.

What are some alternatives?

When comparing Dask and Kafka, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Raygun - Raygun gives developers meaningful insights into problems affecting their applications. Discover issues - Understand the problem - Fix things faster.

Apache Airflow - Airflow is a platform to programmaticaly author, schedule and monitor data pipelines.

Sentry.io - From error tracking to performance monitoring, developers can see what actually matters, solve quicker, and learn continuously about their applications - from the frontend to the backend.

NumPy - NumPy is the fundamental package for scientific computing with Python

RabbitMQ - RabbitMQ is an open source message broker software.

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