Question 1

What is the source of this data?

Accepted Answer

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

Question 2

How often is the data updated?

Accepted Answer

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

Question 3

What is Dask?

Accepted Answer

Dask is a flexible parallel computing library in Python that enables seamless execution of complex computations It provides advanced parallel and distributed computing capabilities to tackle tasks that involve large datasets thus making it an essential tool for data scientists and engineers Dask allows users to scale their dataintensive applications from a single machine to a cluster of machines effectively managing the distribution of workloads and optimizing performance

In the realm of Data Science Tools Dask falls under the category of distributed computing frameworks Its primary focus is on enabling efficient parallel processing of data making it particularly valuable for tasks like data manipulation machine learning model training and largescale data analysis By leveraging Dask users can overcome the limitations of traditional singlenode computing and explore new possibilities in handling big data workloads with ease

Founded in 2015 by the team at Anaconda Dask originated from the need to address the challenges posed by the growing demand for scalable data processing in the Python ecosystem Motivated by the desire to provide a flexible and userfriendly solution for parallel computing the creators of Dask set out to develop a tool that could seamlessly integrate with existing Python data libraries while offering enhanced performance and scalability

Currently Dask maintains a strong foothold in the data science and scientific computing domains attracting a growing user base due to its versatility and efficiency in handling largescale computational tasks With an increasing demand for scalable data processing solutions Dasks market share within the Data Science Tools category is expected to experience significant growth in the coming years As organizations continue to grapple with everexpanding datasets and the need for faster processing speeds Dasks role in enabling efficient parallel computing is likely to become even more pronounced solidifying its position as a leading technology in the field

Question 4

How to get an updated list of companies that use Dask?

Accepted Answer

You can access an updated list of companies using Dask by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does Dask have?

Accepted Answer

As of now, we have data on 3,359 companies that use Dask.

Question 6

Who uses Dask?

Accepted Answer

Dask is used by a diverse range of organizations across various industries, including "Financial Services", "Computer Hardware Manufacturing", "Technology, Information and Internet", "IT Services and IT Consulting", "Software Development", "Banking", "Defense and Space Manufacturing", "Software Development", "Software Development", "Software Development". For a comprehensive list of all industries utilizing Dask, please visit TheirStack.com.

Question 7

What companies use Dask?

Accepted Answer

Some of the companies that use Dask include Capital One, NVIDIA, TieTalent, Provectus, Domino Data Lab, Santander, BlackSky, InstaDeep, Virtualitics, team.blue and many more. You can find a complete list of 3,359 companies that use Dask on TheirStack.com.

Question 8

In which countries Dask is used the most?

Accepted Answer

Based on our data, Dask is most popular in United States (1,140 companies), United Kingdom (259 companies), India (111 companies), France (98 companies), Canada (72 companies), Spain (52 companies), Germany (52 companies), Netherlands (27 companies), Switzerland (26 companies), Australia (26 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use Dask?

Accepted Answer

You can find companies using Dask by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue

Company	Country	Industry	Employees	Revenue	Technologies
Capital One	United States	Financial Services	81K	$36B	Dask
NVIDIA	United States	Computer Hardware Manufacturing	44K	$27B	Dask
TieTalent	Switzerland	Technology, Information and Internet	29		Dask
Provectus	United States	IT Services and IT Consulting	540	$12M	Dask
Domino Data Lab	United States	Software Development	500	$32M	Dask
Santander	Spain	Banking	130K		Dask
BlackSky	United States	Defense and Space Manufacturing	336	$75M	Dask
InstaDeep	United Kingdom	Software Development	437	$10M	Dask
Virtualitics	United States	Software Development	122		Dask
team.blue	Belgium	Software Development	2.9K		Dask

Companies that use Dask

Dask customers by country

How to target Dask users

United States

United Kingdom

India

France

Canada

Spain

Germany

Netherlands

Switzerland

Australia

Dask alternatives and competitors

Grafana

Mode

Pandas

NumPy

PySpark

Qlik

Einblick

Neo4j

Shiny

Metabase

i-DOCS

Tableau Desktop

Superset

Dataiku

Splunk Enterprise

KNIME

Chart.Js

Tableau Prep

Celonis

Denodo

Brancher

Weave

Hue

Charted

i-net

SAS Visual Analytics

Redash

Oracle Business Intelligence Enterprise Edition

Bokeh

erwin Data Modeler

Pentaho Data Integration

Tableau Online

Data Miner

Metaflow

Deck.gl

SAS/Graph

D3js

Analytica

Facette

BigPicture

Elastic Kibana

Burt

Piktochart

Tableau Public

Kumu

SAS Data Integration Studio

amCharts

Enso

Gephi

Displayr

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is Dask?

What is Dask?

How to get an updated list of companies that use Dask?

How to get an updated list of companies that use Dask?

How many customers does Dask have?

How many customers does Dask have?

Who uses Dask?

Who uses Dask?

What companies use Dask?

What companies use Dask?

In which countries Dask is used the most?

In which countries Dask is used the most?