Comparison

Activepieces vs Apache Airflow

No clear leader: Activepieces (71.7) and Apache Airflow (69.0) 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.

Machine formatsMarkdownJSONGraphQLMarkdown is open. JSON and GraphQL need a free key.
Activepieces72
Apache Airflow69
Score
vioscaleAI score
Activepieces72 / 100medium · 55%
Apache Airflow69 / 100medium · 66%
Pricing
Free tier
Activepieces✓
Apache Airflow✓
Model
Activepiecesfreemium
Apache Airflowopen_source
Price level
Activepiecesmid
Apache Airflowfree
Starting price
Activepieces$20
Apache Airflow–
Transparent
Activepieces✓
Apache Airflow✓
Integrations
Count
Activepieces760
Apache Airflow54
Security
Certifications
ActivepiecesSOC 2 Type II
Apache Airflow–
Disclosure policy
Activepieces✓
Apache Airflow–
Gdpr
Activepieces✓
Apache Airflow–
Scorecard
Activepieces–
Apache Airflow7.3
Soc2
Activepieces✓
Apache Airflow–
Trust center
Adoption
Dependent repos
Activepieces–
Apache Airflow189
Github stars
Activepieces–
Apache Airflow47,054
Package downloads weekly
Activepieces–
Apache Airflow1,607,065
Activity
Commits last 30d
Activepieces–
Apache Airflow100
Release
Cadence days
Activepieces–
Apache Airflow14
History
Activepieces–
Apache Airflow20 items
License
Spdx
Activepieces–
Apache AirflowApache-2.0
Language
Primary
Activepieces–
Apache AirflowPython
Market
Availability
Apache Airflow–
Content
Faq
Activepieces6 items
Apache Airflow6 items

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.

Declared feature comparison
FeatureActivepiecesApache Airflow
Bring your own key byok for llm inference✓-
Builder ui architecturevisual_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 modelflat_monthly_unlimited-
Python first-✓
Role-orchestrator
Self hosted oss-✓
Soc2 type ii✓-
Sub workflow calling and reusable templates✓-
Unstructured document extraction pdf image to json✓-
Web scraping and browser automation nodes✓-

What each one is

The product in its own terms, so the numbers below have context.

Activepieces

An open-source automation platform that combines AI agents, visual workflows, and 760+ app integrations, deployable on cloud infrastructure or self-hosted for maximum control and data security.

Independently observed

Apache Airflow

Apache Airflow is a workflow orchestration platform that enables users to define data pipelines in Python and schedule their execution across distributed workers. It provides a web interface for visualization and monitoring, plus extensive integrations with cloud platforms and services.

Independently observed

Pricing

List pricing as published by each vendor, with the date we read it. Always verify at the source before you buy.

Activepieces

from $20/moHybridFree tier

Free tier, then $20–$200/mo flat with usage-based overage, or custom enterprise pricing

  • FreeFree
    • 1,000 credits monthly
    • Chat to automation
    • Unlimited flows
    • Flows, Agents, Tables
    • MCPs and API access
  • Plus$20/mo + overage at $0.007 per credit
    • Everything in Free, plus
    • 10× monthly credits
    • Up to 5 users
    • Bring your own AI keys
  • Team$200/mo + overage at $0.007 per credit
    • Everything in Plus, plus
    • 5× monthly credits
    • Unlimited projects
    • 25 users included
    • SSO and standard roles
    • +2 more
  • UltimateContact sales
    • Everything in Team, plus
    • Dedicated workers
    • Execution priority
    • SCIM and custom roles
    • Releases and Git Sync
    • +2 more
  • EmbedContact sales
    • White-label builder
    • One SDK
    • Your pieces and templates
    • Enterprise control
as of verify ↗

Apache Airflow

Open source
as of verify ↗

Platform & deployment

Where each product runs and how it can be hosted. A dash means undocumented, not unsupported.

Platforms
Web
Activepieces✓
Apache Airflow✓
macOS
Activepieces✗
Apache Airflow✓
Linux
Activepieces✗
Apache Airflow✓
CLI
Activepieces✓
Apache Airflow✓
Deployment
Cloud / SaaS
Activepieces✓
Apache Airflow✓
Self-hosted
Activepieces✓
Apache Airflow✓
On-premise
Activepieces✓
Apache Airflow✓
Hybrid
Activepieces✓
Apache Airflow✓
Air-gapped
Activepieces✓
Apache Airflow✗

Integrations

What each product connects to. Counts come from the vendor's own integration directory where one exists.

In common (4)
  • Slack
  • OpenAI
  • Discord
  • Salesforce

Activepieces

20 total - 16 not shared
  • Google Sheets
  • HubSpot
  • Stripe
  • APITemplate.io
  • Claude
  • Cursor
  • Google Workspace
  • RSS
  • APIs
  • Gmail
  • Microsoft Teams
  • Apify
  • SimpliRoute
  • Bexio
  • Instagram for Business
  • Teamleader
Independently observed

Apache Airflow

61 total - 57 not shared
  • 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
  • +33 more
Independently observed
Still deciding?

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.