Three of the most compared automation platforms — and they couldn't be more different. Gumloop is AI-native, built for AI agent workflows from the ground up. n8n is open-source, self-hostable, and developer-flexible. Make is visual, affordable, and has the largest integration library. For PMs choosing between them, the real question isn't which is "best" — it's which fits your automation needs. Here's a head-to-head-to-head with a winner per category.
AI-native. 35+ AI models, agent orchestration, no-code. Best for PMs building AI-first workflows without code. From $37/mo.
Open-source. Self-host for free, or use cloud. Maximum flexibility and data sovereignty. Best for technical PMs. From $20/mo (cloud) or free (self-hosted).
Visual automation. 1,800+ integrations, drag-and-drop builder. Best for broad app connectivity at low cost. From $12/mo.
9 dimensions with a winner per category — scan the table, then dive into the pricing comparison and use-case deep dives below.
| Dimension | Gumloop | n8n | Make | Winner |
|---|---|---|---|---|
| AI-native design | AI-first — every step can embed AI models (35+ supported). Built for AI workflows from the ground up. | AI-capable — added AI nodes and agent features, but the core is a traditional workflow engine with AI bolted on. | Limited AI — traditional automation with basic AI app integrations (OpenAI, Anthropic) as connector nodes. | Gumloop |
| Open source / self-hosting | Cloud-only. No self-hosting option. Your data lives on Gumloop's infrastructure. | Open-source core. Self-host for free with the Community Edition, or use n8n Cloud. Full data sovereignty. | Cloud-only. No self-hosting. Managed infrastructure with enterprise security on higher tiers. | n8n |
| Starting price (paid) | $37/mo (Pro) — 20K credits/mo, 8% orchestration fee. 14-day free trial with card. | $20/mo (Starter, cloud) or free (self-hosted Community Edition). Best value for budget-conscious teams. | $12/mo (Core) — 10K credits/mo. Cheapest entry point for paid cloud automation. | Make |
| Integration library size | Growing library focused on AI and modern SaaS. Smaller than Make but covers common PM tools. | 500+ integrations plus the ability to build custom nodes with code. Flexible but requires more setup. | 1,800+ app integrations — the largest library of the three. Covers virtually any tool a PM team uses. | Make |
| Ease of use for non-technical PMs | Designed for non-technical users. Visual builder with AI-assisted workflow creation. Lowest learning curve for AI workflows. | Moderate learning curve. Visual builder but workflows are more technical — JSON, expressions, HTTP nodes. Better for technical PMs. | Visual-first interface designed for non-technical users. Drag-and-drop scenario builder. Moderate learning curve. | Gumloop |
| Best for AI agent workflows | Best-in-class. Build AI agents that use multiple models, tools, and data sources. Native agent orchestration. | Strong. AI agent nodes with tool-calling, memory, and multi-step reasoning. More manual configuration than Gumloop. | Basic. Can connect to AI apps but lacks native agent orchestration. Better for simple AI-assisted steps. | Gumloop |
| Data sovereignty & control | Cloud-managed. Data processed on Gumloop's infrastructure. Enterprise tier adds security features. | Full control with self-hosting. Data never leaves your infrastructure. Ideal for compliance-sensitive environments. | Cloud-managed with enterprise security (SOC 2, GDPR). Data on Make's infrastructure with regional options. | n8n |
| Scalability for complex workflows | Good for AI-heavy workflows. Credit-based pricing means costs scale with usage — monitor carefully. | Excellent. Self-hosted has no execution limits. Cloud plans scale with execution-based pricing. | Excellent. Credit-based pricing scales predictably. Higher tiers add priority execution and team features. | n8n (self-hosted) / Make (cloud) |
| Best for PMs who want… | AI-native automation without code. Best when AI reasoning is core to the workflow. | Maximum control and flexibility. Best for technical PMs or teams with developer support. | Broad integration coverage at low cost. Best for connecting many apps reliably. | Depends on your needs |
Gumloop wins on AI-native design and ease of use for AI workflows. n8n wins on open-source, data sovereignty, and cost (self-hosted). Make wins on integration library, pricing, and scalability. The right choice depends on whether your automation is AI-first, control-first, or connectivity-first.
A side-by-side breakdown of free, entry, mid-tier, and enterprise plans — with pricing models compared.
| Plan | Gumloop | n8n | Make |
|---|---|---|---|
| Free | 14-day Pro trial (card required) | Community Edition (self-hosted, unlimited) | 1,000 credits/mo, 2 scenarios |
| Entry paid | $37/mo — 20K credits, 8% orchestration fee | $20/mo (Starter, cloud) — 2,500 executions | $12/mo (Core) — 10K credits/mo |
| Mid-tier | Enterprise (custom) — unlimited agents, custom proxy | $50/mo (Pro, cloud) — 10K executions, multi-user | $21/mo (Pro) — 10K credits, priority execution |
| Enterprise | Custom pricing — dedicated support, SSO | $800/mo (Business, self-hosted) — 50K executions | Custom — SSO, audit logs, dedicated support |
| Pricing model | Credit-based + orchestration fee | Per-execution (cloud) or free (self-hosted) | Credit-based (operations = credits) |
Key insight: n8n's self-hosted Community Edition is the only truly free option with no limits. Make is the cheapest cloud option. Gumloop is the most expensive but includes AI model calls in its credits. See our free AI tools guide for more.
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It depends on what you're automating. Gumloop is best if your workflows are AI-first — AI reasoning, multi-model orchestration, or agent-based automation is core to what you're building. n8n is best if you need data sovereignty (self-hosting), maximum flexibility, or the lowest cost (free Community Edition). Make is best if you need broad integration coverage (1,800+ apps), the cheapest cloud pricing ($12/mo), and deterministic workflows. For PMs evaluating all three, start by identifying whether your automation needs AI reasoning (Gumloop), control/flexibility (n8n), or broad app connectivity (Make).
n8n's Community Edition is free and unlimited when self-hosted — you run it on your own infrastructure with no execution limits or per-operation fees. n8n Cloud (hosted by n8n) starts at $20/mo for the Starter plan with 2,500 executions. The free self-hosted option is the best value in automation if you have the infrastructure and technical capability to run it. The trade-off: self-hosting means you manage updates, security, and uptime yourself. See our n8n AI agents guide for details.
Gumloop is AI-native — AI is embedded in every step, it supports 35+ AI models, and you can build AI agents with tool-calling and multi-step reasoning. n8n is AI-capable — it has AI agent nodes and tool-calling but requires more manual configuration; AI is added to a traditional workflow engine. Make has limited AI — it can connect to AI apps (OpenAI, Anthropic) as connector nodes but lacks native agent orchestration. For PMs building AI agent workflows specifically, Gumloop is the strongest choice. For AI-assisted steps within broader workflows, n8n is a good middle ground. See our Lindy AI review for another AI-agent-first option.
n8n is cheapest if you self-host (free, unlimited). For cloud-hosted plans, Make is cheapest at $12/mo for 10K operations. n8n Cloud starts at $20/mo for 2,500 executions. Gumloop starts at $37/mo for 20K credits plus an 8% orchestration fee. The key difference: Make and n8n charge per operation/execution, while Gumloop charges per credit (which includes AI model calls). If your workflows use expensive AI models, Gumloop's credit pricing may actually be more cost-effective despite the higher base price. For pure app-to-app automation without AI, Make is the most affordable.
No. Both Gumloop and Make are cloud-only platforms — there's no self-hosting option. If data sovereignty, compliance, or running automation on your own infrastructure is a requirement, n8n is the only option of the three that supports self-hosting (via the free Community Edition or paid Business plan). For PMs in regulated industries (healthcare, finance, government) where data must stay on-premise, n8n's self-hosting capability is a decisive advantage.
For competitive intelligence — monitoring competitor websites, detecting changes, summarizing updates, and alerting your team — Gumloop is the best fit because the AI-native design makes it easy to build workflows that detect and summarize changes using AI reasoning. n8n is a strong alternative if you want more control over the monitoring logic or need self-hosting. Make can handle the basic 'detect a change and notify Slack' workflow but lacks the AI summarization capabilities that make CI automation valuable. For a daily curated CI layer without building automation yourself, see our competitive intelligence for product managers guide.
They're different tools. Gumloop, n8n, and Make help you build automation workflows. Signal Brief helps you discover the AI tools worth automating — 5 new AI tools every weekday morning with a PM-specific lens. Many subscribers use Signal Brief to discover new automation platforms, AI agent builders, and integration tools, then evaluate them alongside Gumloop, n8n, or Make. See our sample issue and AI workflow automation guide.
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