
Activepieces vs Kestra
A side-by-side comparison of Activepieces and Kestra across 26 workflow orchestration capabilities. Activepieces fully supports 13 of them and Kestra fully supports 24; of the 12 mandatory features, Activepieces covers 8 and Kestra covers 11.
Activepieces
Activepieces is an open-source, self-hostable workflow automation platform and Zapier alternative with a no-code visual builder, hundreds of integrations ('pieces') and AI agent support.
Kestra
Kestra is an open-source, event-driven orchestration platform that allows you to define, schedule, and monitor workflows declaratively in YAML, with support for both scheduled and real-time triggers.
Feature comparison
12 of 26 capabilities differ between Activepieces and Kestra.
| Capability | Importance* | ||
|---|---|---|---|
DAG-based workflow definition Define dependencies and execution order Mandatory | Mandatory | Partial | Yes |
Code-first workflows Versionable, testable workflows Mandatory | Mandatory | No | Partial |
Declarative workflow model Predictability, reproducibility Mandatory | Mandatory | Yes | Yes |
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 | Yes | Yes |
Backfills / replays Reprocess historical data Depends | Depends | No | Yes |
Idempotency support Safe retries & replays Mandatory | Mandatory | No | Yes |
Exactly-once semantics Correctness for business workflows Optional | Optional | No | No |
Long-running workflows (days/months) Business processes, approvals Depends | Depends | Partial | Yes |
Human-in-the-loop steps Approvals, manual actions Optional | Optional | Yes | Yes |
Dynamic workflows at runtime Conditional execution Depends | Depends | Yes | Yes |
Workflow versioning Safe evolution over time Recommended | Recommended | Yes | Yes |
Distributed execution Scalability Mandatory | Mandatory | Yes | Yes |
High availability scheduler Production reliability Recommended | Recommended | Partial | Yes |
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 | Yes |
Deterministic replay Safe recovery & correctness Optional | Optional | No | Yes |
Pluggable execution backends Flexibility Recommended | Recommended | No | Yes |
* 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
- Activepieces vs Airflow
- Kestra vs Airflow
- Activepieces vs Prefect
- Kestra vs Prefect
- Activepieces vs Dagster
- Kestra vs Dagster
- Activepieces vs Argo Workflows
- Kestra vs Argo Workflows
- Activepieces vs Temporal
- Kestra vs Temporal
- Activepieces vs n8n
- Kestra vs n8n
- Activepieces vs Luigi
- Kestra vs Luigi
- Activepieces vs Flyte
- Kestra vs Flyte
- Activepieces vs CrewAI
- Kestra vs CrewAI
- Activepieces vs LangGraph
- Kestra vs LangGraph
- Activepieces vs Pipedream
- Kestra vs Pipedream
- Activepieces vs Workato
- Kestra vs Workato
- Activepieces vs Cadence
- Kestra vs Cadence
- Activepieces vs Elsa Workflows
- Kestra vs Elsa Workflows
- Activepieces vs Camunda
- Kestra vs Camunda
- Activepieces vs Kubeflow Pipelines
- Kestra vs Kubeflow Pipelines
- Activepieces vs Metaflow
- Kestra vs Metaflow
- Activepieces vs ZenML
- Kestra vs ZenML
- Activepieces vs Apache NiFi
- Kestra vs Apache NiFi
- Activepieces vs Mage
- Kestra vs Mage
- Activepieces vs Tekton
- Kestra vs Tekton
- Activepieces vs Conductor
- Kestra vs Conductor
- Activepieces vs AWS Step Functions
- Kestra vs AWS Step Functions
- Activepieces vs Windmill
- Kestra vs Windmill
- Activepieces vs Concourse
- Kestra vs Concourse
- Activepieces vs Apache DolphinScheduler
- Kestra vs Apache DolphinScheduler
- Activepieces vs Inngest
- Kestra vs Inngest
- Activepieces vs Restate
- Kestra vs Restate
- Activepieces vs Hatchet
- Kestra vs Hatchet
- Activepieces vs Trigger.dev
- Kestra vs Trigger.dev