Comparison

Activepieces vs Relevance AI

On the evidence we track, Activepieces leads this comparison with a composite score of 65/100. Scores are only directly comparable because these tools share a category; the full breakdown and every source is below.

Machine formatsJSONMarkdownGraphQLor send Accept: application/json
Activepieces65
Relevance AI29
Score
Vioscale score
Activepieces65 / 100medium · 56%
Relevance AI29 / 100low · 40%
Pricing
Free tier
Activepieces
Relevance AI
Model
Activepiecesfreemium
Relevance AIcommercial
Price level
Activepiecesmid
Relevance AIunknown
Starting price
Activepieces$25
Relevance AI
Transparent
Activepieces
Relevance AI
Integrations
Count
Activepieces8
Relevance AI7
Security
Gdpr
Activepieces
Relevance AI
Soc2
Activepieces
Relevance AI
Market

Capabilities

Feature-by-feature on the axes that matter for ai workflow automation. “-” means undocumented, not absent.

Capabilities
Builder UI architecture
ActivepiecesVisual node canvas
Relevance AIVisual node canvas
Native LLM nodes anthropic openai gemini
Activepieces
Relevance AI
Human in the loop approval steps via slack email
Activepieces
Relevance AI
Unstructured document extraction PDF image to json
Activepieces
Relevance AI-
Dynamic conditional routing via LLM classification
Activepieces-
Relevance AI-
Web scraping and browser automation nodes
Activepieces-
Relevance AI
Bring your own key byok for LLM inference
Activepieces-
Relevance AI-
Custom HTTP webhook catch and triggering
Activepieces
Relevance AI-
Sub workflow calling and reusable templates
Activepieces-
Relevance AI
On premise self hosted deployment option
Activepieces
Relevance AI-
SOC2 type ii
Activepieces
Relevance AI-
ISO 27001
Activepieces-
Relevance AI-
Pricing model
ActivepiecesFlat monthly unlimited
Relevance AI-

What each one is

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

Activepieces

Leader

A workflow automation platform that connects apps and services with AI capabilities, designed for teams ranging from individuals learning automation to large enterprises. It supports visual workflow building, integrations with hundreds of apps, and can be deployed on cloud or self-hosted infrastructure.

Independently observed

Relevance AI

An enterprise platform enabling teams to create, deploy, and manage AI agents tailored to specific business tasks. Includes built-in monitoring, automated model optimization across providers, human approval workflows, and embedded deployment support.

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

Leader
from $25/mofreemiumFree tier

From free with limited tasks, plus $25/mo for unlimited. Enterprise custom pricing.

  • FreeFree
    • AI integrations
    • Custom code
    • Limited steps
  • Plus$25/mo
    • Unlimited tasks
    • AI agents
    • Custom code
  • Business$150/mo
    • SSO
    • Role permissions
    • API access
    • Audit logs
  • EnterpriseContact sales
    • Unlimited tasks
    • Enterprise SSO
    • Audit logs
    • Human-in-loop support
    • Dedicated support
as of verify ↗

Relevance AI

Usage-based

Usage-based, starting from $0.14 per task; enterprise quotes available

as of verify ↗

Platform & deployment

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

Platforms
Web
Activepieces
Relevance AI
CLI
Activepieces
Relevance AI
Deployment
Cloud / SaaS
Activepieces
Relevance AI
Self-hosted
Activepieces
Relevance AI
Hybrid
Activepieces
Relevance AI

Integrations

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

Activepieces

Leader
8 total
  • Google Sheets
  • HubSpot
  • Stripe
  • Slack
  • APITemplate.io
  • Claude
  • Cursor
  • Google Workspace
Independently observed

Relevance AI

7 total
  • YouTube
  • LinkedIn
  • Google
  • Salesforce
  • WhatsApp
  • BuiltWith
  • Spoken.md
Independently observed

Comparison generated from independently-sourced facts. Every value links to its source and retrieval date. See the method.