Software Alternatives & Reviews

Dask VS Azkaban

Compare Dask VS Azkaban and see what are their differences

Dask logo Dask

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

Azkaban logo Azkaban

Azkaban is a batch workflow job scheduler created at LinkedIn to run Hadoop jobs.
  • Dask Landing page
    Landing page //
    2022-08-26
  • Azkaban Landing page
    Landing page //
    2019-08-01

Dask videos

DASK and Apache SparkGurpreet Singh Microsoft Corporation

More videos:

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

Azkaban videos

Harry Potter and the Prisoner of Azkaban - Movie Review

More videos:

  • Review - Harry Potter and the Prisoner of Azkaban - Movie Review
  • Review - Harry Potter and The Prisoner of Azkaban

Category Popularity

0-100% (relative to Dask and Azkaban)
Workflows
64 64%
36% 36
Workflow Automation
0 0%
100% 100
Databases
100 100%
0% 0
DevOps Tools
0 0%
100% 100

User comments

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Reviews

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

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

Azkaban Reviews

We have no reviews of Azkaban yet.
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Social recommendations and mentions

Based on our record, Dask should be more popular than Azkaban. 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

Azkaban mentions (3)

What are some alternatives?

When comparing Dask and Azkaban, 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.

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

Luigi - Luigi is a Python module that helps you build complex pipelines of batch jobs.

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

RunDeck - RunDeck is an open source automation service with a web console, command line tools and a WebAPI.

Apache Spark - Apache Spark is an engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.