Make wins for non-technical teams; n8n wins for developers and anyone running high-volume automations. The biggest pitfall: Make's operations-based billing scales sharply the moment any workflow loops through records — 100 rows across an 8-step scenario burns 800 operations per run, and that compounds fast against paid plans starting at ~$9/mo for 10,000 ops.
Quick Picks (TL;DR)
| Situation | Pick |
|---|---|
| Non-technical team, needs plug-and-play | Make |
| Developer or technical team, high volume | n8n (self-hosted) |
| Technical team, wants cloud convenience | n8n Cloud |
| Simple needs, want polish and support | Zapier |
Side-by-Side Comparison
| Tool | Best for | Free plan | Starting price | Standout feature |
|---|---|---|---|---|
| Make | Visual automation, non-technical teams | Yes (1,000 ops/mo) | ~$9/mo | Scenario builder UI + error handling |
| n8n | Developer-controlled, self-hosted workflows | Yes (self-hosted) | ~$20/mo cloud | Self-hosting, unlimited runs, code nodes |
Make (formerly Integromat)
Make's scenario builder — connected bubbles flowing left to right, live data visible during test runs — is one of the most capable no-code automation UIs available. Built-in data tools (array aggregators, iterators, text parsers, routers) handle complex logic without any custom code. A workflow that pulls leads from Google Sheets, enriches them via Clearbit, filters by company size, and routes segments to different Slack channels and a CRM can be built entirely within one scenario, no code modules required.
Error handling is a genuine differentiator. Dedicated error routes within a scenario let you configure retry logic and failure notifications on a separate path from the main flow — not an afterthought, and essential for any automation touching customer data in production.
The template library covers most common business workflows (lead routing, CRM sync, ecommerce notifications, social scheduling). Most starting points get teams 80% of the way to a working automation in under ten minutes.
Honest pros
- Visual scenario builder ranks among the most intuitive in any automation tool
- Sophisticated data manipulation built-in — no code required for most transforms
- Dedicated error routes with retry logic; failure notifications run on a separate path
- Large, well-organized template library for common business workflows
- Operations-based pricing keeps simple, low-frequency workflows cheap
- HTTP and webhook modules handle custom integrations without a dedicated connector
- Active community with thorough documentation
Honest cons
- Operations-based billing scales sharply with loops: 100 records × 8 steps = 800 ops per run
- No self-hosting — all workflow data lives on Make's servers
- Free plan (1,000 ops/mo) disappears in a single meaningful production run; budget for the Core plan (~$9/mo) from day one
- Complex scenarios with many branches become visually cluttered
- Tracing data through 20+ nodes during debugging is tedious despite the visual layout
Who should skip Make: Teams running automations that loop through thousands of rows regularly. Calculate expected monthly ops before choosing a plan — the math compounds faster than most users anticipate.
n8n
n8n's defining advantage is self-hosting: run it on a private server, VPS, or inside Docker and workflow data never touches n8n's infrastructure. For agencies handling client data or developers working in regulated industries, that's genuinely valuable rather than a theoretical benefit.
The workflow editor is node-based like Make's but designed explicitly as a developer tool. Every node exposes raw JSON, and "Code" nodes accept JavaScript or Python when built-in transformations aren't sufficient. A complex pricing formula mid-workflow goes into a Code node rather than a chain of multiple data manipulation modules.
Self-hosted n8n has unlimited workflow executions — the cost is the server, not the runs. A $6/mo DigitalOcean Droplet runs n8n comfortably for most small teams. With Docker installed, the initial setup takes roughly 20 minutes following the official docs; ongoing maintenance (updates, backups) runs about an hour per month for a technically comfortable person. An agency running 50,000+ executions per month on Make would pay several hundred dollars; on self-hosted n8n, the server costs $10–20/mo.
Honest pros
- Self-hosting means unlimited executions and full data ownership
- Code nodes (JavaScript or Python) handle any logic without workarounds
- Dramatically cheaper than Make at high execution volumes
- 400+ integrations via community nodes; HTTP/webhook modules cover anything with an API
- Fair-code license allows modification and internal use without fees
- Open-source community is active; official documentation has improved significantly
Honest cons
- Self-hosting requires Docker knowledge, ongoing update management, and uptime monitoring
- UI is less polished than Make; complex workflows can look overwhelming
- Error trace debugging is less visual than Make's approach
- Template library for common business workflows is smaller than Make's
- Some enterprise integrations (Salesforce, SAP) are less mature than Make's implementations
- n8n Cloud pricing tiers are harder to compare directly against Make's tier structure
Who should skip n8n: Non-technical users who want a plug-and-play experience. If "Docker Compose" is unfamiliar territory, the self-hosted option is not the right fit — and at lower volumes, n8n Cloud's pricing advantage over Make shrinks considerably.
Pricing: Where They Actually Diverge
Make charges per operation — roughly one action step. Processing 100 records through an 8-step workflow equals 800 operations per run. The free plan covers 1,000 ops/month, which disappears in a single meaningful test run. Paid plans start at ~$9/mo for 10,000 ops. Light, infrequent automations stay affordable; anything looping through data in volume does not.
n8n self-hosted is free to run — the only recurring cost is the server ($6–20/mo for a VPS). n8n Cloud starts around $20/mo with per-execution pricing. For teams evaluating the cloud option, the practical question is whether managed hosting justifies the cost over a cheap VPS running self-hosted n8n.
Volume heuristic:
- Under 10,000 executions/month → compare Make and n8n Cloud plans directly
- Over 50,000 executions/month → self-hosted n8n almost always wins on economics
How to Choose
Two dimensions drive the decision: technical comfort and data volume.
Go with Make if:
- Your team has no dedicated technical person
- You want polished error handling and a visual debugging experience with no server setup
- You're processing moderate volumes where ops-based billing stays manageable
- You need a working automation fast — templates get you most of the way there
Go with n8n if:
- Your team has at least one developer comfortable with Docker
- You're running high-volume workflows where execution count would make Make expensive
- You handle client data that needs to stay off third-party servers
- You need custom logic mid-workflow that requires actual code
Our take: For client-facing automations where errors need careful handling and non-technical teammates will touch the workflows, Make's error routes and visual builder are meaningful day-to-day advantages. For internal high-volume data pipelines maintained by a developer, self-hosted n8n is the more economical and flexible choice.
Common Mistakes to Avoid
- Underestimating Make's op count. Teams often calculate ops per trigger, not per loop iteration. A scenario that loops 500 records through 10 steps = 5,000 ops per run. On the free plan, that's five runs per month before hitting the ceiling.
- Treating n8n Cloud as the apples-to-apples comparison. The real n8n advantage is self-hosted. Cloud pricing narrows the gap against Make considerably at low-to-mid volumes.
- Assuming self-hosted means "set it and forget it." n8n updates ship regularly, and running an outdated version creates security exposure. Budget the hour per month for maintenance.
- Choosing based on integration count alone. Both tools' HTTP and webhook modules connect to anything with an API — the dedicated connector count matters less than it looks in comparison tables.
FAQ
Can n8n replace Make completely for a non-technical team? Technically yes, practically no. The self-hosted setup and developer-oriented UI create ongoing friction without a technical person on the team. Make's cloud product is meaningfully more approachable for teams without dedicated technical staff.
Is Make's free plan enough to start with? For testing and simple personal automations, yes. For anything production-bound, 1,000 ops/month disappears in a single run of a meaningful workflow. Budget for the Core plan (~$9/mo) from day one for real business use.
How hard is it to self-host n8n? With Docker installed, n8n is running in roughly 20 minutes following the official docs. Ongoing maintenance takes about an hour per month for someone technically comfortable. The community is active and the official documentation has improved significantly in recent releases.
Which tool has more integrations? Make has a slight edge in polished, pre-built app connectors. n8n's community nodes close most of that gap. Both tools' HTTP and webhook modules connect to anything with an API regardless of whether a dedicated node exists — so the raw connector count is less decisive than it appears.