Activepieces vs Apache Airflow
No clear leader: Activepieces (71.9) and Apache Airflow (70.9) are within the 5-point margin; treat as a tie. The attribute-by-attribute breakdown below, with a source and date on every value, is the honest way to compare them.
Features
The capabilities each product documents. These tools do not share a category taxonomy, so this aligns what each vendor states rather than a normalised feature set.
| Feature | Activepieces | Apache Airflow |
|---|---|---|
| Builder ui architecture | visual_node_canvas | - |
| Connector count | - | 100+ |
| Custom http webhook catch and triggering | ✓ | - |
| Data quality | - | ✓ |
| Dbt native | - | ✓ |
| Distributed executor | - | ✓ |
| Human in the loop approval steps via slack email | ✓ | - |
| Incremental runs | - | ✓ |
| Lineage | - | ✓ |
| Managed cloud | - | ✓ |
| Native llm nodes anthropic openai gemini | ✓ | - |
| On premise self hosted deployment option | ✓ | - |
| Paradigm | - | batch |
| Pricing model | flat_monthly_unlimited | - |
| Python first | - | ✓ |
| Role | - | orchestrator |
| Self hosted oss | - | ✓ |
| Soc2 type ii | ✓ | - |
| Unstructured document extraction pdf image to json | ✓ | - |
What each one is
The product in its own terms, so the numbers below have context.
Activepieces
An open-source workflow automation system enabling teams to build visual automations connecting their business apps, with native AI support, flexible deployment options (cloud or self-hosted), and support for over 280 integrations.
Apache Airflow
An open-source platform where you define workflows in Python, schedule their execution based on dependencies and timing, and monitor progress through a web interface. Widely used for data orchestration, ML operations, and infrastructure automation.
Pricing
List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.
Activepieces
Free tier with 10 active flows. Additional flows $5/month or Enterprise from $30k/year
- FreeFree
- AI agents
- Unlimited MCP servers
- Unlimited tables
- Email support
- Usage-based$5 per additional active flow per month
- EnterpriseContact sales
- Enterprise security and governance
- Custom RBAC
- SSO
- Audit logs
- Git sync
- +1 more
- Community EditionFree
- Self-hosted
- Docker/Kubernetes support
- Full data control
- No usage limits
Platform & deployment
Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.
Integrations
What each product connects to. Counts come from the vendor's own integration directory where one exists.
- Slack
- OpenAI
- Discord
- Salesforce
Activepieces
- Google Sheets
- HubSpot
- Stripe
- APITemplate.io
- Claude
- Cursor
- Google Workspace
- RSS
- APIs
Apache Airflow
- Amazon Web Services
- Microsoft Azure
- Google Cloud Platform
- Databricks
- Snowflake
- dbt Cloud
- Tableau
- PostgreSQL
- MySQL
- MongoDB
- Redis
- Kubernetes
- Docker
- Apache Spark
- Apache Kafka
- Apache Cassandra
- Apache Flink
- Apache Druid
- Elasticsearch
- Datadog
- Jenkins
- GitHub
- Anthropic
- Cohere
- +28 more
Activepieces or Apache Airflow: which one depends on you
A composite score cannot know your constraints. Describe them and both get re-weighted against what you actually need, with the evidence behind every position.
Free to run, no account needed to start. How the evaluation works
Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.