List of Apache Airflow Customers
Apache Software Foundation
1000 N West Street, Suite 1200,
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United States
1 302-250-4080
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10
$2M
Since 2010, our global team of researchers has been studying Apache Airflow customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Apache Airflow for Database Management from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Apache Airflow for Database Management include: Allstate, a United States based Insurance organisation with 55000 employees and revenues of $67.69 billion, AbbVie, a United States based Life Sciences organisation with 55000 employees and revenues of $56.33 billion, US Foods, a United States based Distribution organisation with 30000 employees and revenues of $37.88 billion, NextEra Energy, a United States based Utilities organisation with 16800 employees and revenues of $24.75 billion, Pinterest, a United States based Media organisation with 4000 employees and revenues of $2.80 billion and many others.
Contact us if you need a completed and verified list of companies using Apache Airflow, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Apache Airflow customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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AbbVie | Life Sciences | 55000 | $56.3B | United States | Apache Software | Apache Airflow | Database Management | 2022 | n/a |
In 2022, AbbVie implemented Apache Airflow in support of its Data Science and Analytics function to manage ETL, Orchestration and scheduling for clinical development and R&D analytics. AbbVie deployed Apache Airflow from Apache Software to operationalize pipeline orchestration that enables the Data Science and Analytics team to schedule, monitor, and govern data workflows driving machine learning experiments and analytics-ready datasets.
The implementation focused on DAG based orchestration, job scheduling, data transformation, metadata extraction, workload management, and error processing and alerting. Apache Airflow was configured to host reusable workflows and operators for clinical data ingestion, enrichment, and transformation, aligning with the team mandate to build data products and automated quality control processes.
Integrations were scoped to the existing data and tooling footprint described by the team, including cloud platform services such as AWS S3, EC2, EMR and managed Airflow (MWAA), databases including Oracle and Microsoft SQL Server, data catalog capabilities like Alation, and upstream ETL tools such as Informatica. The deployment also connected to project and delivery tooling including JIRA and Confluence and to downstream analytics and visualization platforms like PowerBI, Tableau and Spotfire to enable end to end pipeline-to-report continuity.
Governance and operational controls emphasized reproducibility, code and peer review, standardized testing, Infrastructure as Code practices, and automated operational monitoring to meet applicable regulatory requirements including Good Clinical Practices and ICH guidelines and AbbVie standard operating procedures. The Apache Airflow implementation was positioned as an orchestrator within the Data Science and Analytics operating model to enforce workflow governance, error handling, and auditability for clinical development data pipelines.
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Allstate | Insurance | 55000 | $67.7B | United States | Apache Software | Apache Airflow | Database Management | 2017 | n/a |
In 2017 Allstate implemented Apache Airflow, Apps Category . Apache Airflow was installed to provide centralized orchestration for scheduled and event driven data workflows across the enterprise data estate.
The implementation focused on canonical workflow constructs typical for Apache Airflow, including directed acyclic graph based job orchestration, reusable operators and sensors, parameterized DAGs, scheduling and backfill configuration, and task level retries and SLAs. Configuration emphasized modular DAG design and templated pipelines to support repeatable ETL patterns and data transformation orchestration. The deployment supported automation of ingestion, transformation, and loading workflows that feed downstream analytics and reporting pipelines.
Integrations documented during subsequent engineering activity included Azure SQL databases for transactional and reference data stores, Azure Databricks running Apache Spark for large scale batch processing, Apache Flink for low latency streaming, and Power BI for downstream reporting. Operational scope covered data engineering and business intelligence teams responsible for pipeline development, orchestration, and monitoring, and extended to supporting business applications that consume processed datasets. Airflow's scheduler and executor model was used to coordinate workloads running on Databricks clusters and external streaming applications.
Governance and operationalization relied on standard workflow management practices such as role based access control for DAG ownership, version controlled DAG development, CI pipeline validation and unit testing for DAG logic, and centralized monitoring and alerting for task failures. By Jan 2024 an Azure Data Engineer at Allstate documented orchestration of complex ETL workflows using Apache Airflow, automating pipelines and reporting a 30% improvement in data processing efficiency, along with related work that included Azure SQL optimization improving query performance by 20% and large scale Spark processing on Databricks handling 500 TB of data.
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NextEra Energy | Utilities | 16800 | $24.8B | United States | Apache Software | Apache Airflow | Database Management | 2018 | n/a |
In 2018, NextEra Energy implemented Apache Airflow. The implementation positioned Apache Airflow as the central workflow orchestration engine for scheduling, directed acyclic graph definitions, and task dependency management, aligning with the Apps Category .
Deployment work included configuration of DAGs, operators, sensors, and scheduler tuning to support batch orchestration and event driven pipelines across utility data workloads. Integrations explicitly cited in project notes include SAP BTP, SAP APIM, Integration Suite and CPI, reflecting integration points used to surface SAP driven events and API endpoints into Airflow workflows for Florida Power & Light operational contexts. Operational governance emphasized a centralized DAG catalog, role based access control, versioned deployment processes, and scheduled rollout windows managed by the internal SAP BTP/APIM/Integration Suite/CPI consultant team.
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Media | 4000 | $2.8B | United States | Apache Software | Apache Airflow | Database Management | 2018 | n/a |
In 2018, Pinterest deployed Apache Airflow within its Database Management tooling to orchestrate and schedule data pipelines supporting the Ads Measurement team. Apache Airflow became the central workflow orchestration application for analytics and measurement pipelines, aligning Data Engineering and Ads Measurement functions on a common scheduler and DAG-based execution model.
The Airflow implementation was configured to coordinate batch and streaming processing tasks across the existing data stack, using DAGs to sequence Spark and Flink jobs, trigger Hive and Presto queries, and manage downstream tasks written in Java, Python, and Scala. Operators and sensor patterns were used to integrate with Kafka event streams and to invoke Spark SQL and Hadoop jobs, while Airflow handled task retries, dependency mapping, and time-based scheduling for measurement workloads.
Integrations were explicitly tied to Pinterest infrastructure components, including AWS S3 and HDFS for data lakes, Apache Spark and Apache Flink for compute, Hive and Presto for query engines, and Kafka for messaging. Operational ownership and governance rested with the Ads Measurement engineering team in Seattle, with DAG code maintained in version controlled repositories and deployed through automated pipelines to ensure consistent workflow rollout and change control across the Database Management environment.
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Scotia Tech | Professional Services | 4000 | $500M | Colombia | Apache Software | Apache Airflow | Database Management | 2022 | n/a |
In 2022, Scotia Tech deployed Apache Airflow within its Database Management environment to orchestrate compliance and regulatory data pipelines. The initiative was executed by Scotia Tech software engineering teams in Bogotá as part of the Spark program, with a primary objective to ensure the reliability of compliance and regulatory data using parallel computing and big data analysis.
The implementation of Apache Airflow centered on DAG based orchestration, scheduled batch windows, task-level retries and parallel worker execution. Apache Airflow was configured to use a Postgres metadata store for workflow state and to host a webserver and scheduler components that provide centralized monitoring and operational control.
Integrations were explicitly implemented with Hadoop for large scale data processing and with Postgres for metadata and landing zones, while Confluence was used to capture runbooks and documentation. Operational scope focused on data engineering and compliance reporting workflows in the Bogotá, Colombia environment, supporting regulatory and compliance business functions across Scotia Tech teams.
Governance was formalized through documented DAG standards and runbook procedures in Confluence, role based access to Airflow components, and structured workflow owners for compliance pipelines. The deployment of Apache Airflow was used to enforce repeatable orchestration patterns and to ensure the reliability of the compliance and regulatory data managed by Scotia Tech.
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Professional Services | 15000 | $2.5B | Brazil | Apache Software | Apache Airflow | Database Management | 2020 | n/a |
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Distribution | 30000 | $37.9B | United States | Apache Software | Apache Airflow | Database Management | 2022 | n/a |
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Buyer Intent: Companies Evaluating Apache Airflow
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Apache Airflow. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Apache Airflow for Database Management include:
- AT&T, a United States based Communications organization with 146040 Employees
- Kelsri, a Indonesia based Professional Services company with 150 Employees
- Accessplus, a United States based Communications organization with 50 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated |
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AT&T | Communications | 146040 | $122.4B | United States | 2026-03-24 |
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Kelsri | Professional Services | 150 | $29M | Indonesia | 2026-03-01 |
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Accessplus | Communications | 50 | $5M | United States | 2026-02-24 |
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Banking and Financial Services | 250 | $40M | Turkey | 2026-01-15 |
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Insurance | 10665 | $12.0B | United States | 2026-01-07 |
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Banking and Financial Services | 300 | $50M | Turkey | 2025-11-26 |
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Government | 1000 | $250M | Canada | 2025-11-24 |
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Professional Services | 20 | $2M | Italy | 2025-11-24 |
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Life Sciences | 29904 | $15.4B | Australia | 2025-10-10 |
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Professional Services | 7300 | $11.1B | United States | 2025-09-25 |
FAQ - APPS RUN THE WORLD Apache Airflow Coverage
Apache Airflow is a Database Management solution from Apache Software.
Companies worldwide use Apache Airflow, from small firms to large enterprises across 21+ industries.
Organizations such as Allstate, AbbVie, US Foods, NextEra Energy and Pinterest are recorded users of
Apache Airflow for Database Management.
Companies using Apache Airflow are most concentrated in Insurance, Life Sciences and Distribution, with adoption spanning over 21 industries.
Companies using Apache Airflow are most concentrated in United States, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Apache Airflow across Americas, EMEA, and APAC.
Companies using Apache Airflow range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 28.57%, and global enterprises with 10,000+ employees - 71.43%.
Customers of Apache Airflow include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Apache Airflow customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Database Management.