Pipedream vs Make (Integromat)
No-Code Automation
| P Pipedream | M Make (Integromat) | |
|---|---|---|
| Free tier | ✓ Free tier | ✓ Free tier |
| Pricing model | subscription | subscription |
| Price | $29 (Basic) | $9 (Core) |
| Features | ||
| Languages | — | — |
| API | ✓ Available Docs ↗ | ✓ Available Docs ↗ |
| Homepage | Pipedream ↗ | Make (Integromat) ↗ |
| Pricing Plans | Free$0/mo10,000 credits/mo, unlimited workflows Basic$29/mo100,000 credits/mo, longer execution time Advanced$99/mo300,000 credits/mo, dedicated workers Business$299/mo1M+ credits/mo, SSO and audit logs | Free$0/mo1,000 ops/mo, 2 active scenarios Core$9/mo10,000 ops/mo, unlimited scenarios Pro$16/mo10,000 ops/mo, custom variables, priority execution Teams$29/mo10,000 ops/mo, team collaboration features |
| Platforms | ||
| Integrations | GitHub, Slack, Stripe, Twilio, OpenAI, Google Sheets, HTTP / Webhook, Airtable, Notion, HubSpot | Gmail, Slack, Google Sheets, Airtable, Notion, HubSpot, Salesforce, Shopify, Webhooks, OpenAI |
- Full Node.js and Python support in code steps with npm/pip packages
- Generous free tier with 10,000 credits per month
- Real-time event inspection and detailed execution logs
- Excellent for developers who want flexibility without infrastructure overhead
- Less suitable for non-technical users compared to Zapier
- Smaller pre-built component library than Zapier
- No self-hosted option
- Highly visual flowchart-style scenario builder
- Powerful data manipulation with built-in functions
- More affordable than Zapier at high operation volumes
- Supports complex branching, iteration, and error handling
- Steeper learning curve than Zapier for beginners
- Smaller app library than Zapier (1,500+ vs 7,000+)
- UI can feel overwhelming for simple use cases
AI Commentary
Pipedream supports OpenAI, Anthropic, and other AI APIs as first-class components, making it straightforward to build AI-powered event-driven pipelines. Its code-step architecture allows developers to call any LLM API with full control over request parameters and response parsing. Pipedream's MCP (Model Context Protocol) support positions it well for the emerging agentic workflow space. It is favored by developers building lightweight AI microservices and integrations.
Make has integrated AI capabilities including an AI assistant that helps users build scenarios via natural language prompts. Native OpenAI and Anthropic modules allow building sophisticated AI pipelines directly in the canvas. Make's flexible data structures and advanced routing make it especially well-suited for complex AI automation workflows. The platform positions itself as a powerful middle ground between no-code simplicity and developer-level flexibility.