Companies that use Airflow
Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command lines utilities makes performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress and troubleshoot issues when needed.
65,133
companies
List of companies using Airflow
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\": [
\"airflow\"
]
}"Technology
is any of
Airflow
Employees1.7kRevenue$2BRepair and MaintenanceAirflowHigh confidence
Employees293kComputer Hardware ManufacturingAirflowHigh confidence
Employees730kRevenue$27BIT Services and IT ConsultingAirflowHigh confidence
Employees244kFinancial ServicesAirflowHigh confidence
Employees68kRevenue$4.8BIT Services and IT ConsultingAirflowHigh confidence
Employees412kRevenue$45BProfessional ServicesAirflowHigh confidence
Employees89kRevenue$9.5BIT Services and IT ConsultingAirflowHigh confidence
Employees19kRevenue$5.1BFinancial ServicesAirflowHigh confidence
Employees39kRevenue$17BIndustrial Machinery ManufacturingAirflowHigh confidence
Employees16kIT Services and IT ConsultingAirflowHigh confidence
We have data on 65,133 companies and users that use Airflow. Our Airflow 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 Airflow 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.
Apache Airflow is an open-source platform designed to programmatically author, schedule, and monitor workflows. It allows users to create directed acyclic graphs (DAGs) of tasks, where nodes represent tasks to be executed and edges define dependencies between tasks. Airflow provides a rich user interface for visualization, monitoring, and troubleshooting of workflows, making it widely used for data engineering, ETL (extract, transform, load) processes, machine learning pipelines, and other automation tasks.
Workflow Manager category encompasses tools like Airflow that facilitate the creation, scheduling, and execution of complex workflows. These tools offer functionalities to manage dependencies between tasks, handle retries and failures, provide visibility into workflow status and execution logs, as well as support for scalability and integration with various data sources and processing engines. In essence, Workflow Managers streamline the orchestration of tasks within a workflow, enhancing efficiency and reliability in data processing and automation workflows.
Apache Airflow was initiated at Airbnb in 2014 by Maxime Beauchemin and later open-sourced under the Apache Software Foundation. The motivation behind Airflow's development was to address the challenges faced by Airbnb in managing its growing number of data pipelines. By creating a scalable and programmable solution, Airflow aimed to improve the efficiency of data workflows, increase visibility into pipeline execution, and enable easier monitoring and debugging of tasks.
As of now, Airflow holds a significant market share in the Workflow Manager category, with a strong and active community backing its continued development. Given the increasing adoption of data-driven decision-making and the growing complexity of data processing workflows in organizations, the demand for robust workflow management solutions like Airflow is expected to rise. This suggests a promising outlook for Airflow's market share, indicating potential growth opportunities in the foreseeable future.