- Choose Pipedream if: You need a cloud-native, code-first workflow builder with generous free tier (10k events/mo) and tight GitHub/developer integrations.
- Choose n8n if: You want self-hosted flexibility, lower per-run pricing ($20/mo for 2.5k runs), and enterprise-grade workflow control.
- Best for teams: n8n's self-hosted option scales better; Pipedream's cloud simplicity wins for solo developers.
- Verdict: Pipedream for velocity; n8n for control.
Overview: Pipedream vs n8n
Pipedream is a cloud-native workflow automation platform designed for developers. It emphasizes rapid integration building, pre-built connectors, and code flexibility (Node.js/Python). The platform operates on an event-driven model with a generous free tier of 10,000 events per month. Pipedream integrates deeply with developer tools like GitHub, Slack, and REST APIs, making it ideal for teams building custom logic into their workflows.
n8n is a self-hosted and cloud-hosted workflow automation tool that prioritizes data privacy and flexibility. It offers both free self-hosted deployments and managed cloud pricing starting at $20/month. n8n's node-based visual editor is powerful for non-coders, while its code node support and webhooks appeal to developers. It's favored in enterprises requiring on-premise control or high workflow volume.
Pricing Comparison
| Plan | Pipedream | n8n (Cloud) | n8n (Self-Hosted) |
|---|---|---|---|
| Free | 10k events/mo, 1 user | – | Unlimited (self-hosted) |
| Entry Paid | Basic: $29/mo (100k events/mo) | Starter: $20/mo (2.5k runs/mo) | N/A |
| Mid-Tier | Advanced: $99/mo (1M events/mo) | Pro: $50/mo (10k runs/mo) | Docker/VM only |
| Enterprise | Custom pricing | Custom pricing | Custom pricing |
Note: Pricing accurate as of Q1 2026. Both platforms count executions differently (events vs. runs), so direct comparison depends on workflow complexity.
Feature Comparison
| Feature | Pipedream | n8n |
|---|---|---|
| Self-Hosted Option | ✗ | ✓ |
| Cloud-Hosted | ✓ | ✓ |
| Pre-Built Integrations | ✓ (800+) | ✓ (400+) |
| Code Node Support (Node.js/Python) | ✓ | ✓ |
| Visual Workflow Builder | ✓ | ✓ |
| Webhook Triggers | ✓ | ✓ |
| Scheduled Workflows | ✓ | ✓ |
| Data Storage/State | ~ (limited) | ✓ |
| Team Collaboration | ~ (limited in free) | ✓ |
| API Rate Limits (Free Tier) | 10k events/mo | None (self-hosted) |
| Execution Timeout | 30 seconds | ~ (varies by plan) |
| Conditional Logic/Error Handling | ✓ | ✓ |
When to Choose Pipedream
- Rapid API integrations: You need to connect REST APIs or webhook sources quickly. Pipedream's code-first approach and 10k free events/month make it ideal for prototyping integrations without cost.
- Developer-first teams: Your team prefers writing inline Node.js/Python over visual node building. Pipedream's integration with GitHub, SSH workflows, and code versioning appeals to engineering teams.
- SaaS data pipelines: You're building workflows that ingest data from external services (Stripe, GitHub, Slack) and route it to internal tools. Pipedream's event model is optimized for this.
- Startup speed: You need to launch workflows in hours, not days. The generous free tier lets you validate ideas before committing budget.
When to Choose n8n
- Data privacy is non-negotiable: You operate in healthcare, finance, or EU-regulated industries. n8n's self-hosted option ensures data never leaves your infrastructure.
- High-volume workflows: You run thousands of workflow executions monthly. n8n's $20/mo Starter plan (2.5k runs) scales cheaper than Pipedream's $29/mo Basic (100k events). For 50k+ runs, self-hosting makes n8n far cheaper.
- Non-technical workflow designers: Your team includes business analysts or operations staff who prefer drag-and-drop node building over code. n8n's visual interface is more approachable than Pipedream's code focus.
- Enterprise control: You need team permissions, audit logs, version history, and SSO. n8n's collaboration features are more mature, especially in self-hosted deployments.
Migration: Switching Between Them
Difficulty level: Moderate. Both platforms use different execution models (Pipedream: events; n8n: nodes), so workflows don't export/import directly.
What to watch for: Pipedream workflows are code-based (Node.js steps), while n8n workflows are node configurations. You'll need to manually rebuild logic. Trigger setup differs—Pipedream uses webhooks and integrations as entry points, while n8n uses trigger nodes. API rate limits and data structures (event vs. workflow context) vary, so test thoroughly.
Migration path: Document your current workflows in Pipedream, then rebuild them in n8n's visual builder or custom code nodes. If switching from n8n to Pipedream, export your logic as pseudocode and implement as Node.js steps. Neither tool offers direct import tooling, so plan 1–2 weeks for 10+ workflows.
Frequently Asked Questions
Is Pipedream cheaper than n8n at scale?
Not necessarily. Pipedream's free tier (10k events/mo) beats n8n's cloud (no free plan), but at scale n8n's self-hosted option is much cheaper. If you run 100k+ executions monthly, self-hosting n8n costs just server infrastructure (~$50–100/mo on AWS/DigitalOcean), far less than Pipedream's $99/mo Advanced plan. For teams under 50k events/month, Pipedream is cheaper and simpler.
Can I self-host Pipedream?
No. Pipedream is cloud-only. If on-premise deployment is required, n8n is your only option between these two. Alternatively, consider Make.com (cloud-only, similar to Pipedream) or open-source tools like Apache Airflow.
Which has better integrations?
Pipedream (800+) edges out n8n (400+) in pre-built integrations. However, both support custom HTTP requests and custom code, so you can integrate with any API. For popular SaaS (Slack, Stripe, GitHub, Salesforce), both are equally capable. The difference matters only if you need obscure third-party connectors out-of-the-box.
Final Verdict: Choose Pipedream if you're a developer building quick integrations and want the lowest barrier to entry. Choose n8n if you need self-hosting, privacy control, or plan to scale beyond 50k monthly executions. Both are production-ready—the choice hinges on your team's technical depth and data residency requirements.
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