Apache Airflow vs Trigger.dev
A side-by-side comparison of Apache Airflow and Trigger.dev across 26 workflow orchestration capabilities. Apache Airflow fully supports 13 of them and Trigger.dev fully supports 17; of the 12 mandatory features, Apache Airflow covers 11 and Trigger.dev covers 10.
Apache Airflow
Apache Airflow is an open-source platform to programmatically author, schedule, and monitor workflows. It allows you to define workflows as code, making them more maintainable, versionable, testable, and collaborative.
Trigger.dev
Trigger.dev is an open-source platform for building and running durable background tasks, cron jobs and AI agent workflows in TypeScript, with retries, queues and full observability.
Feature comparison
11 of 26 capabilities differ between Apache Airflow and Trigger.dev.
| Capability | Importance* | Apache Airflow | Trigger.dev |
|---|---|---|---|
DAG-based workflow definition Define dependencies and execution order Mandatory | Mandatory | Yes | Partial |
Code-first workflows Versionable, testable workflows Mandatory | Mandatory | Yes | Yes |
Declarative workflow model Predictability, reproducibility Mandatory | Mandatory | Yes | No |
Task dependency resolution Correct execution order Mandatory | Mandatory | Yes | Yes |
Persistent workflow state Crash recovery, observability Mandatory | Mandatory | Yes | Yes |
Task retries Handle transient failures Mandatory | Mandatory | Yes | Yes |
Retry policies (backoff, limits) Avoid cascading failures Recommended | Recommended | Partial | Yes |
Scheduling (cron / time-based) Automated recurring workflows Depends | Depends | Yes | Yes |
Event-driven execution React to external systems Depends | Depends | Partial | Partial |
Backfills / replays Reprocess historical data Depends | Depends | Yes | Partial |
Idempotency support Safe retries & replays Mandatory | Mandatory | Yes | Yes |
Exactly-once semantics Correctness for business workflows Optional | Optional | No | Partial |
Long-running workflows (days/months) Business processes, approvals Depends | Depends | No | Yes |
Human-in-the-loop steps Approvals, manual actions Optional | Optional | No | Yes |
Dynamic workflows at runtime Conditional execution Depends | Depends | Partial | Yes |
Workflow versioning Safe evolution over time Recommended | Recommended | No | Yes |
Distributed execution Scalability Mandatory | Mandatory | Yes | Yes |
High availability scheduler Production reliability Recommended | Recommended | Partial | Partial |
Fault-tolerant execution Crash safety Mandatory | Mandatory | Partial | Yes |
Observability (logs, states, UI) Debugging & ops Mandatory | Mandatory | Yes | Yes |
Workflow-level visibility Understand end-to-end runs Mandatory | Mandatory | Yes | Yes |
Task isolation Failure containment Mandatory | Mandatory | Yes | Yes |
Native Kubernetes support Modern infra compatibility Depends | Depends | Partial | Yes |
Multi-language SDKs Polyglot systems Optional | Optional | No | No |
Deterministic replay Safe recovery & correctness Optional | Optional | No | No |
Pluggable execution backends Flexibility Recommended | Recommended | Partial | Partial |
* To be considered a complete workflow orchestration tool, a tool must implement the features marked as mandatory according to our assessment.
Spotted an inaccuracy? contact@workflows.guru
Learn more
Read the full profiles, including pros and cons, installation and alternatives.
Related comparisons
- Apache Airflow vs Prefect
- Trigger.dev vs Prefect
- Apache Airflow vs Dagster
- Trigger.dev vs Dagster
- Apache Airflow vs Argo Workflows
- Trigger.dev vs Argo Workflows
- Apache Airflow vs Temporal
- Trigger.dev vs Temporal
- Apache Airflow vs n8n
- Trigger.dev vs n8n
- Apache Airflow vs Luigi
- Trigger.dev vs Luigi
- Apache Airflow vs Flyte
- Trigger.dev vs Flyte
- Apache Airflow vs CrewAI
- Trigger.dev vs CrewAI
- Apache Airflow vs Kestra
- Trigger.dev vs Kestra
- Apache Airflow vs LangGraph
- Trigger.dev vs LangGraph
- Apache Airflow vs Pipedream
- Trigger.dev vs Pipedream
- Apache Airflow vs Workato
- Trigger.dev vs Workato
- Apache Airflow vs Cadence
- Trigger.dev vs Cadence
- Apache Airflow vs Elsa Workflows
- Trigger.dev vs Elsa Workflows
- Apache Airflow vs Camunda
- Trigger.dev vs Camunda
- Apache Airflow vs Kubeflow Pipelines
- Trigger.dev vs Kubeflow Pipelines
- Apache Airflow vs Metaflow
- Trigger.dev vs Metaflow
- Apache Airflow vs ZenML
- Trigger.dev vs ZenML
- Apache Airflow vs Apache NiFi
- Trigger.dev vs Apache NiFi
- Apache Airflow vs Mage
- Trigger.dev vs Mage
- Apache Airflow vs Tekton
- Trigger.dev vs Tekton
- Apache Airflow vs Conductor
- Trigger.dev vs Conductor
- Apache Airflow vs AWS Step Functions
- Trigger.dev vs AWS Step Functions
- Apache Airflow vs Windmill
- Trigger.dev vs Windmill
- Apache Airflow vs Activepieces
- Trigger.dev vs Activepieces
- Apache Airflow vs Concourse
- Trigger.dev vs Concourse
- Apache Airflow vs Apache DolphinScheduler
- Trigger.dev vs Apache DolphinScheduler
- Apache Airflow vs Inngest
- Trigger.dev vs Inngest
- Apache Airflow vs Restate
- Trigger.dev vs Restate
- Apache Airflow vs Hatchet
- Trigger.dev vs Hatchet