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 PySpark?

Accepted Answer

PySpark which stands for Apache Spark with Python is a powerful opensource distributed computing system that allows for processing large datasets with speed and efficiency It enables seamless integration with Python making it a popular choice among data scientists and engineers for big data processing and analytics tasks PySpark harnesses the capabilities of Sparks distributed computing framework providing a userfriendly interface through Python APIs for scalable data processing

PySpark falls under the category of Data Science Tools specifically in the realm of big data processing and analytics As a key player in this category PySpark offers functionalities for data manipulation machine learning graph processing and realtime data streaming making it a versatile tool for various datarelated tasks Its compatibility with Python makes it accessible to a wide range of users with programming skills in Python further enhancing its popularity in the data science community

Founded by the Apache Software Foundation PySpark originated as an opensource project aimed at addressing the growing need for efficient big data processing tools The project was established to leverage the capabilities of Apache Spark and provide Python developers with a highlevel API for building scalable and distributed data applications Over the years PySpark has evolved into a mature technology with a thriving community and active development efforts

As of the current market scenario PySpark holds a significant market share in the Data Science Tools category due to its robust features and seamless integration with Python With the increasing demand for big data processing solutions the adoption of PySpark is expected to continue growing in the future Enterprises and datadriven organizations are increasingly turning to PySpark for handling largescale data processing tasks indicating a positive trend in its market share expansion and relevance in the data science landscape

Question 4

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

Accepted Answer

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

Question 5

How many customers does PySpark have?

Accepted Answer

As of now, we have data on 29,357 companies that use PySpark.

Question 6

Who uses PySpark?

Accepted Answer

PySpark is used by a diverse range of organizations across various industries, including "Professional Services", "IT Services and IT Consulting", "IT Services and IT Consulting", "Professional Services", "Financial Services", "Financial Services", "Business Consulting and Services", "IT Services and IT Consulting", "IT Services and IT Consulting", "IT Services and IT Consulting". For a comprehensive list of all industries utilizing PySpark, please visit TheirStack.com.

Question 7

What companies use PySpark?

Accepted Answer

Some of the companies that use PySpark include EY, Capgemini, Cognizant Technology Solutions, PwC, Citi, JPMorganChase, Accenture, Tata Consultancy Services, Infosys, CGI and many more. You can find a complete list of 29,357 companies that use PySpark on TheirStack.com.

Question 8

In which countries PySpark is used the most?

Accepted Answer

Based on our data, PySpark is most popular in Spain (473 companies), Sweden (131 companies), Chile (23 companies), Honduras (1 companies), Estonia (7 companies), Puerto Rico (2 companies), Monaco (3 companies), Bahrain (1 companies), Luxembourg (23 companies), Lithuania (22 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use PySpark?

Accepted Answer

You can find companies using PySpark 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	Technologies
EY	United Kingdom	Professional Services	395k	$45B	PySpark
Capgemini	France	IT Services and IT Consulting	357k	$24B	PySpark
Cognizant Technology Solutions	United States	IT Services and IT Consulting	341k	$19B	PySpark
PwC	United Kingdom	Professional Services	328k	$50B	PySpark
Citi	United States	Financial Services	201k	$75B	PySpark
JPMorganChase	United States	Financial Services	244k		PySpark
Accenture	Ireland	Business Consulting and Services	738k	$63B	PySpark
Tata Consultancy Services	India	IT Services and IT Consulting	695k	$27B	PySpark
Infosys	India	IT Services and IT Consulting	365k	$17B	PySpark
CGI	Canada	IT Services and IT Consulting	89k	$9.5B	PySpark

Companies that use PySpark

List of companies using PySpark

PySpark customers by country

United States

United Kingdom

India

France

Canada

Spain

Brazil

Netherlands

Germany

Australia

PySpark alternatives and competitors

Grafana

Mode

Pandas

NumPy

Einblick

Qlik

Neo4j

Metabase

Shiny

i-DOCS

Tableau Desktop

Superset

Dataiku

Dask

Chart.Js

Splunk Enterprise

KNIME

Tableau Prep

Celonis

Brancher

Denodo

Weave

Charted

Hue

i-net

Redash

SAS Visual Analytics

Oracle Business Intelligence Enterprise Edition

erwin Data Modeler

Bokeh

Pentaho Data Integration

Tableau Online

Data Miner

Metaflow

Deck.gl

SAS/Graph

D3js

Analytica

BigPicture

Facette

Elastic Kibana

Burt

Tableau Public

Piktochart

Kumu

SAS Data Integration Studio

amCharts

Enso

Gephi

Displayr

How to target PySpark users

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 PySpark?

What is PySpark?

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

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

How many customers does PySpark have?

How many customers does PySpark have?

Who uses PySpark?

Who uses PySpark?

What companies use PySpark?

What companies use PySpark?

In which countries PySpark is used the most?