Compare Activepieces vs Make

Activepieces

MIT-licensed open-source automation with per-flow pricing instead of per-task, plus AI agents, MCP support and free unlimited self-hosting.

0 upvotesintermediate

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Make

AI Workflow AutomationFreemium

Visual drag-and-drop automation with a node canvas, routers, iterators and credit-based pricing that scales far cheaper than task billing.

0 upvotesintermediate

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Pricing

Pricing Comparison

Activepieces

Community Edition$0

Self-hosted under MIT licence, unlimited flows, unlimited runs, all core pieces

Cloud Free$0

Managed cloud, up to 10 active flows to start, AI credits included

Standard$5/active flow/mo

Unlimited runs per flow, AI agents, Tables, managed hosting

Ultimate$Custom

Annual contract, SSO, SCIM, audit logs, RBAC, governance and compliance controls

Make

Free$0

1,000 credits/month, 2 active scenarios, 15-minute minimum interval

Core$9/mo

10,000 credits, unlimited active scenarios, 1-minute scheduling

Pro$16/mo

Priority execution, custom variables, full-text execution log search

Teams$29/mo

Shared scenario templates, team roles, multiple users

Enterprise$Custom

SSO, SCIM, audit logs, dedicated infrastructure, SLA support

Features

Feature Comparison

Activepieces

MIT Open SourceFree Self-HostingPer-Flow PricingUnlimited Runs700+ PiecesVisual Flow BuilderAI AgentsMCP Server SupportCustom PiecesTypeScript SDKBranching LogicLoopsWebhooksHTTP RequestsActivepieces TablesEmbedded AutomationSSO and SCIMAudit Logs

Make

Visual Scenario Canvas3,000+ ConnectorsRoutersIteratorsAggregatorsError HandlersHTTP ModuleWebhooksData StoresSchedulingScenario TemplatesMake AI AgentsCustom VariablesFull-Text Log SearchTeam CollaborationScenario VersioningMake GridOn-Demand Execution

Fit

Best For & Not For

Activepieces

✅ Best For

✅Teams migrating off task-based platforms whose bills climbed unpredictably, since per-flow pricing makes costs flat and forecastable regardless of run volume

✅Engineering-comfortable organisations that need data to stay on their own infrastructure for compliance, residency or security reasons

✅Startups embedding automation inside their own product, because the MIT licence and embedded offering permit commercial white-labelling without restriction

✅Developers who want to write custom pieces in TypeScript when no existing connector covers their internal tooling

❌ Not For

❌Teams needing the longest tail of niche SaaS connectors, since 700+ pieces is far short of Zapier's 9,000+

❌Non-technical users choosing self-hosting, because Docker deployment, updates, backups and SSL renewal fall on you

❌Organisations that need mature enterprise governance out of the box on the free tier, as SSO, SCIM, audit logs and RBAC sit behind the paid plan

❌Workflows that demand extremely low-latency execution, since per-task process isolation adds overhead compared to lighter engines

Make

✅ Best For

✅Automation agencies and freelancers building client scenarios who need branching, looping and error handling without writing code

✅Operations specialists at growing companies who have outgrown linear step-by-step automation and need a real flow canvas

✅Cost-conscious teams running high-volume workflows, since credit pricing is typically three to five times cheaper than task-based platforms at the same workload

✅Technical marketers who want to hit undocumented or niche APIs directly using the generic HTTP module when no native connector exists

❌ Not For

❌Absolute beginners who want a workflow live in five minutes, because the canvas has a steeper learning curve than a linear step builder

❌Teams needing the very longest tail of app connectors, since Make covers 3,000+ apps versus Zapier's 9,000+

❌Organisations with data residency rules requiring on-premise deployment, as Make is cloud-only with no self-hosting option

❌Anyone who wants a fixed predictable bill, because credit consumption varies with loop counts and record volumes month to month

Availability

Platform & Accessibility

Activepieces

web-baseddesktopapi

Make

web-basedapi

Use & Audience

Tasks & Who It's For

Activepieces

Tasks

ai-coding ai-productivity ai-data

Who it's for

developer small-business solopreneur

Make

Tasks

ai-productivity ai-data ai-sales

Who it's for

small-business marketer freelancer

Integrations

Activepieces

Communication

SlackDiscord

Development

GitHub

Data & Spreadsheets

Google Sheets

Other

OpenAIAnthropic

Writing & Docs

Notion

Database

AirtableSupabase

CRM

HubSpot

Project Management

Linear

Webhooks & API

HTTP

Make

Data & Spreadsheets

Google Sheets

Communication

Slack

Database

Airtable

E-commerce

ShopifyStripe

CRM

HubSpot

Writing & Docs

Notion

Storage

Google Drive

Marketing

Facebook AdsMailchimp

Webhooks & API

Webhooks

Other

OpenAI

Use Cases

Real-world Use Cases

Activepieces

Dinesh runs platform engineering at a 40-person SaaS company and moved 22 high-frequency automations off a task-billed tool onto self-hosted Activepieces, taking a $410 monthly automation bill down to the cost of one small server.

Klara works in compliance at a European insurer where customer data cannot touch third-party clouds. Self-hosted Activepieces let her team finally automate claims triage that legal had blocked for two years.

Nathan, an indie hacker, embedded Activepieces inside his own SaaS product so his customers can build their own integrations, and it became the feature that won him three enterprise deals.

Make

Rohit runs a 12-client marketing agency and rebuilt every client report as a Make scenario that pulls Google Ads, Meta and GA4 data into a formatted Google Slides deck, saving 26 hours of manual reporting each month.

Sofia manages inventory for a boutique retailer. Her scenario uses an iterator to loop through a supplier CSV of 400 SKUs and update Shopify stock levels nightly, ending the weekend of manual data entry she used to dread.

Tomas, a solo SaaS founder, wired a router into Make so trial signups from enterprise domains alert him in Slack while everyone else enters a nurture sequence, and his demo booking rate from qualified trials doubled.

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