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Apache Airflow

Scalable open-source platform to programmatically author, schedule, and monitor data pipelines.

workflow orchestrationdata engineeringETL automationscalable pipelines

About

Apache Airflow enables enterprises to orchestrate complex data workflows with robust scalability and extensibility. It supports compliance with data governance standards through auditable and transparent pipeline management. Designed for hybrid and multi-cloud environments, Airflow ensures reliable and maintainable data infrastructure at scale.

This description came from a bulk import and has not yet been checked against the vendor's own page. Treat it as unverified.

Enterprise Readiness

from cataloged data

Not scored. Nobody has checked this entry against Apache Airflow’s own site yet, so the signals below are unverified and we will not turn them into a rating. The breakdown shows what our record holds.

Security & ComplianceNot disclosed

No compliance certifications listed

Deployment FlexibilityStrong

Flexible deployment: Cloud, On-Premise, Hybrid, Self-Hosted

Integration DepthStrong

8 documented integrations

Proven AdoptionPartial

6 documented use cases

Company MaturityPartial

Founded 2014

Composite of public compliance, deployment, integration, adoption, and company signals. “Not disclosed” reflects gaps in available data, not a vendor deficiency.

Independently sourced

Pulled directly from regulator filings and platform APIs. No vendor or editorial input.

Activity classifier

Dormant

no commits or releases in 97 months

GitHub API2026-05-27

airflow

SDK / client libraries· 2★· active 8.2y ago

HCL

OSV vulnerability feed2026-08-24

No known advisories

Enterprise Use Cases

ETL pipeline automation

Data warehouse orchestration

Machine learning workflow management

Real-time data processing

Data compliance auditing

Hybrid cloud data integration

Integrations

AWSGoogle Cloud PlatformMicrosoft AzureDatabricksSnowflakeSlackJenkinsKubernetes

How Apache Airflow compares

Tool	Readiness	Pricing	Deployment	Compliance	Integrations
Apache Airflow	Not scored	Open Source	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Airbyte	Not scored	Freemium	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Astronomer Astro	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8
Elastic AI	70 · Strong	Enterprise	Cloud, On-Premise, Hybrid, Self-Hosted	—	8

Peers from the same category, ranked by Enterprise Readiness. Readiness is a composite of cataloged compliance, deployment, integration, adoption, and company signals.

Frequently Asked Questions

What is Apache Airflow used for?

Apache Airflow is scalable open-source platform to programmatically author, schedule, and monitor data pipelines. It is commonly used for etl pipeline automation, data warehouse orchestration, machine learning workflow management, and real-time data processing.

Is Apache Airflow free, and how is it priced?

Apache Airflow is open source and can be self-hosted at no licensing cost. Commercial support or hosted tiers may also be available from the vendor.

How can Apache Airflow be deployed?

Apache Airflow supports Cloud, On-Premise, Hybrid, and Self-Hosted deployment. On-premise and self-hosted options support data-residency and air-gapped requirements.

What does Apache Airflow integrate with?

Apache Airflow documents 8 integrations, including AWS, Google Cloud Platform, Microsoft Azure, Databricks, Snowflake, and Slack.

When was Apache Airflow founded?

Apache Airflow was founded in 2014.

Is Apache Airflow enterprise-ready?

Based on cataloged data, Apache Airflow has an Enterprise Readiness score of 66/100 (Strong tier), derived from its compliance, deployment, integration, adoption, and company-maturity signals.

Quick Facts

PricingOpen Source

DeploymentCloud, On-Premise, Hybrid, Self-Hosted

Founded2014

CategoryData & MLOps

Procurement

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