Kestra alternatives

3 tools to consider instead of Kestra, shown against it.

Kestra Apache Airflow Prefect Mage
Vendor Kestra Technologies Apache Software Foundation Prefect Technologies, Inc. Mage Technologies, Inc.
Pricing model Free tier + paid plans Open source + paid options Subscription Usage-based
Free tier Yes Yes Yes Yes
Deployment Cloud, Self-hosted Self-hosted Cloud, Self-hosted Cloud, Self-hosted
Open source Yes (Apache-2.0) Yes (Apache-2.0) Yes (Apache-2.0) Yes (Apache-2.0)
Best for Teams wanting event-driven, declarative orchestration accessible to both engineers and non-Python users. Teams needing a mature, widely supported orchestrator with the deepest ecosystem of integrations. Python teams wanting lightweight, code-first orchestration for dynamic or irregular pipeline structures. Smaller teams wanting ingestion, transformation, and orchestration together in one lightweight, notebook-style tool.
Pricing

The open-source edition is free with unlimited flows; Kestra Cloud is usage-based, and Enterprise Edition is an annual custom subscription.

Open Source Free
Kestra Cloud Pay only for what you use
Enterprise Edition Annual subscription, contact sales

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Airflow itself is free, open-source software; managed hosting (Astronomer, Cloud Composer, MWAA) is priced separately by those vendors.

Pricing has not been verified yet — see the vendor's site.

A free Hobby tier is available forever; paid Prefect Cloud plans are flat or per-user monthly fees, with custom pricing for Enterprise.

Hobby Free
Starter $100/month
Team $100/user/month
Enterprise Custom pricing

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

The open-source tool is free to self-host; the managed cloud plans are a flat monthly seat fee plus per-CPU-hour compute usage.

Starter $29/month + $0.50/CPU-hour
Team $100/month + $0.50/CPU-hour
Enterprise Custom pricing

Prices read from the vendor's own page on September 21, 2026. Vendors change prices; check the source before you budget.

Features
  • Declarative YAML flow definitions with embedded scripting
  • Event-driven triggers alongside cron scheduling
  • 800+ plugin catalog for data, infrastructure, and AI tasks
  • Built-in code and no-code (drag-and-drop) editors
  • Namespace-based multi-tenancy
  • Version-controlled flows exportable as code
  • Agentic AI copilot for flow authoring
  • Pipelines defined as Python DAGs of tasks
  • Large ecosystem of provider packages/operators
  • Time-based and event-driven (Airflow 3) scheduling
  • Web UI for monitoring runs, logs, and task state
  • Task retries, SLAs, and alerting
  • Kubernetes and CeleryExecutor for distributed execution
  • REST API for programmatic pipeline management
  • Python-native flows via decorators (no separate DAG API)
  • Dynamic, runtime-determined pipeline structure
  • Run anywhere Python runs (local, containers, Kubernetes, serverless)
  • Automation rules triggered by run-state events
  • Built-in retries, caching, and result persistence
  • Prefect Cloud UI for scheduling, history, and alerting
  • Self-hostable open-source server as an alternative control plane
  • Block-based, notebook-style pipeline development
  • Built-in ingestion connectors (Airbyte-compatible)
  • Streaming pipeline support via Kafka
  • Visual pipeline editor plus code-first API
  • Scheduling, retries, and monitoring dashboard
  • AI-assisted pipeline and code generation
  • Self-hosted or managed cloud deployment

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