Companies that use Celery
Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.
9,610
companies
List of companies using Celery
curl --request POST \
--url "https://api.theirstack.com/v1/companies/search" \
--header "Accept: application/json" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer <api_key>" \
-d "{
\"company_technology_slug_or\": [
\"celery\"
]
}"Technology
is any of
Celery

Employees3.1kRevenue$1.5BFood and Beverage Manufacturing
CeleryHigh confidence
Employees10kRevenue$2BRestaurants
CeleryHigh confidence
Employees201Revenue$23MFood and Beverage Manufacturing
CeleryHigh confidence
Employees2.2kTechnology, Information and Internet
CeleryHigh confidence
Employees226Revenue$2MSoftware Development
CeleryHigh confidence
Employees238Revenue$3MIT Services and IT Consulting
CeleryHigh confidence
Employees10kHospitals and Health Care
CeleryHigh confidence
Employees862Revenue$8MReal Estate
CeleryHigh confidence
Employees51Restaurants
CeleryHigh confidence
Employees276Revenue$7MSoftware Development
CeleryHigh confidence
We have data on 9,610 companies and users that use Celery. Our Celery users and customers list is available for download and comes enriched with vital company specifics, including industry classification, organizational size, geographical location, funding rounds, and revenue figures, among others.
Technology Usage Statistics and Market Share
How to target Celery users
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Frequently asked questions
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.
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.
Celery is a powerful asynchronous task queue/job queue based on distributed message passing. It is written in Python and is used to execute tasks in a distributed manner across multiple worker nodes. Celery is highly versatile and can be used for a wide range of tasks, such as scheduling periodic tasks, processing long-running jobs, and coordinating real-time operations. It is widely used in web development, data processing, and other applications where tasks need to be executed asynchronously.
Celery falls under the category of Message Queues, which are essential components in modern distributed systems. Message Queues provide a way for different parts of a system to communicate and coordinate by passing messages between nodes. Celery specifically focuses on task queuing and distribution, allowing developers to break down complex tasks into smaller sub-tasks that can be executed in parallel across multiple workers. This helps in scaling applications and improving overall performance by offloading time-consuming tasks to background processes.
Founded in 2009 by Ask Solem, Celery was originally motivated by the need for a simple and reliable distributed task queue for Python applications. Over the years, Celery has evolved into a robust and feature-rich framework that is now used by a wide range of companies and developers worldwide. With its active community support and continuous development, Celery has become a popular choice for handling asynchronous tasks in various domains.
Currently, Celery holds a significant market share within the Message Queue category, with a strong presence in the Python ecosystem and beyond. As asynchronous processing continues to gain importance in modern applications, the demand for efficient task queues like Celery is expected to grow further. With ongoing updates and enhancements, Celery is poised to maintain and potentially expand its market share in the future as more businesses adopt distributed computing practices.