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Databases · head to head

Apache Airflow vs Vault

Apache Airflow logo

Apache Airflow

Databases

Programmatically author, schedule and monitor data workflows in Python

From
Free
Rated
-
Vault logo

Vault

Cloud

Manage Secrets and Protect Sensitive Data

From
Free
Rated
-

The short version

  • Each has a real cost: Apache Airflow self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job; Vault vault 1.15.0 and later is licensed under the Business Source License 1.1, not an OSI open source licence, with IBM Corporation as licensor
  • They diverge on capability: Apache Airflow covers Pipelines as Python, Vault covers Secrets management.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Apache Airflow and Vault actually diverge.

Attributes where Apache Airflow and Vault differ
AttributeApache AirflowVault
Pricing modelOpen source, no licence fee; managed services billed separatelyopen-source
PlatformsLinux, Docker, Kubernetes, Self-hostedLinux, Windows, Mac, Cloud
CategoryDatabasesCloud
FoundedUnknown2015

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Apache Airflow

  • Pipelines as Python
  • Web UI
  • Cloud provider packages
  • Jinja templating
  • Retries and dependencies
  • Extensible operators

Only in Vault

  • Secrets management
  • Encryption
  • Authentication
  • Authorization
  • Audit logging
  • API access
  • High availability
  • Replication

What people use each for

The jobs each tool is most often brought in to do.

Apache Airflow

  • Scheduling nightly ETL where step order and retries matternot Vault
  • Coordinating machine learning training and evaluation runsnot Vault
  • Orchestrating dbt runs alongside extraction and loadingnot Vault
  • Replacing a sprawl of cron jobs with dependencies and visible run historynot Vault

Vault

  • Centrally storing and rotating secrets, API keys and database credentialsnot Apache Airflow
  • Issuing short-lived dynamic credentials to applications instead of static passwordsnot Apache Airflow
  • Encryption as a service and PKI certificate issuancenot Apache Airflow

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Apache Airflow

  • Self-hosting is genuinely heavy: scheduler, metadata database, workers and executor choice are a standing operational job
  • Built for scheduled batch work, and a poor fit for event-driven or sub-minute latency pipelines
  • Because DAGs are Python that the scheduler parses continuously, expensive top-level code in a DAG file slows the whole scheduler
  • Local development and testing of DAGs is awkward compared with newer orchestrators designed with it in mind

Vault

  • Vault 1.15.0 and later is licensed under the Business Source License 1.1, not an OSI open source licence, with IBM Corporation as licensor
  • The Additional Use Grant forbids offering Vault to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions of Vault
  • Each version only converts to MPL 2.0 four years after that version is published, and the Change Date is tracked per version
  • Replication, HSM support, namespaces, performance standby nodes, FIPS builds, control group authorisation, multi-factor authentication, secrets sync and lease count quotas all require a Vault Enterprise licence
  • A Vault Enterprise licence must be applied to the cluster before any Enterprise feature can be used

Pricing, plan by plan

Apache Airflow

Free
  • Apache AirflowFree
    • Full scheduler and web UI
    • All provider packages
    • No task or DAG limits

Vault

Free
  • Open SourceFree
    • Secrets management
    • Encryption as a service
    • Identity management
  • EnterpriseFree
    • Advanced features
    • Premium support
    • Dedicated updates

Which should you pick?

Choose Apache Airflow if

  • You need pipelines as python.
  • You want to start without paying.
  • You work on Linux, Docker, Kubernetes, Self-hosted.
  • You also want web ui.

Choose Vault if

  • You need secrets management.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Cloud.
  • You also want encryption.

Questions people ask

Is Apache Airflow or Vault better?
Neither clearly leads. Apache Airflow starts at Free and Vault at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Apache Airflow or Vault?
Apache Airflow starts at Free and Vault at Free.
Does Apache Airflow or Vault run on more platforms?
Apache Airflow runs on Linux, Docker, Kubernetes, Self-hosted. Vault runs on Linux, Windows, Mac, Cloud.
Can I use Apache Airflow for free?
Both have a free tier, so you can try either at no cost before committing.
What is Apache Airflow best used for?
Apache Airflow is most often used for scheduling nightly etl where step order and retries matter, coordinating machine learning training and evaluation runs, orchestrating dbt runs alongside extraction and loading, replacing a sprawl of cron jobs with dependencies and visible run history. Of those, scheduling nightly etl where step order and retries matter and coordinating machine learning training and evaluation runs are not what Vault is typically brought in for.
What can Apache Airflow do that Vault cannot?
Apache Airflow covers Pipelines as Python, Web UI, Cloud provider packages, Jinja templating. Vault covers Secrets management, Encryption, Authentication, Authorization.

Answered from the vendors’ own pages

Apache Airflow: Is Apache Airflow free?

Yes. Airflow is open source under the Apache Software Foundation with no licence fee. Costs are the infrastructure to run it, or a managed service such as Google Cloud Composer or Amazon MWAA.

Vault: Is HashiCorp Vault free to use?

Yes, Vault is available as a free, open-source project. The community version includes secrets management, certificate generation and rotation, encryption services, and credential management. Vault Enterprise is a commercial offering with additional features.

Source
Apache Airflow: What language are Airflow workflows written in?

Python. A workflow is a Python file, so standard language features including loops and datetime handling can generate tasks dynamically, with no XML or command-line configuration.

Vault: What are the differences between open-source Vault and Vault Enterprise?

Open-source Vault is free and self-hosted. Vault Enterprise includes additional features and commercial support. HashiCorp also offers Vault Dedicated on the HashiCorp Cloud Platform as a fully managed cloud option.

Source
Apache Airflow: Is Airflow suitable for real-time pipelines?

Not really. Airflow is designed for scheduled batch orchestration. Event-driven or sub-minute work is better served by a streaming platform such as Kafka or a purpose-built streaming engine.

Vault: Can I try HashiCorp Cloud Platform Vault without payment?

Yes, HashiCorp offers a free trial option for HCP Vault Dedicated. New users also receive a $500 credit to use across HashiCorp Cloud Platform services.

Source
Apache Airflow: What are the main alternatives to Airflow?

Dagster and Prefect are the two most commonly weighed against it, both newer and both designed around the local development and testing experience Airflow is criticised for.

Vault: What does Vault manage and protect?

Vault provides identity-based secrets management for users, machines, services, and AI agents. It automates authentication and authorization for access to secrets, passwords, certificates, encryption keys, and other sensitive data across your infrastructure.

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