List of Apache Airflow Customers
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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.
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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 |
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Professional Services | 4000 | $500M | Colombia | Apache Software | Apache Airflow | Database Management | 2022 | n/a |
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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
- Kelsri, a Indonesia based Professional Services organization with 150 Employees
- Accessplus, a United States based Communications company with 50 Employees
- Paycore, a Turkey based Banking and Financial Services organization with 250 Employees
Discover Software Buyers actively Evaluating Enterprise Applications
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