Automation tools, compared.

“Automate it” covers everything from a five-minute Zapier connection to a six-figure enterprise platform. Here's the honest map of what connects your tools, what it really costs, and what you can run yourself.

Automation tools fall into roughly three tiers, plus a heavyweight enterprise layer. Picking the right tier matters more than picking the right brand — most people overspend by reaching for a tier above what they need.

Tier 1 · Hosted no-code — the fastest start

Pay a monthly fee, build in the browser, ship today. Starter plans run roughly €20–50/month and climb into the low hundreds as volume grows — you're metered by tasks, operations or credits, and you can't take the workflow elsewhere.

  • Zapier — The easiest on-ramp: connects roughly 9,000 apps with simple trigger-action “Zaps.” Proprietary, priced per task.
  • Make — A visual drag-and-drop canvas, usually cheaper per run than Zapier and better for branching logic. Proprietary, priced per operation. Formerly Integromat.
  • Pipedream — More developer-leaning: mix prebuilt actions with your own Node, Python or Go. Cloud-only; recently joined Workday. (GitHub)

Tier 2 · Open-source & self-hostable — unlimited runs for the price of a server

Run it on your own box — a small VPS or AWS EC2 instance, about €5–15/month — and the per-task meter disappears: you pay for the server, not the volume. The trade is a real one, though: you take on the updates, the backups and the security, and when it breaks at midnight nobody's on call but you. The licences also differ — some are fully permissive, others (n8n, Windmill, Automatisch) restrict reselling the tool itself as a service, which for your own workflows never bites.

  • n8n — The leading open Zapier/Make alternative: hundreds of integrations, a node editor, optional code steps and native AI nodes. Source-available (fair-code), free to self-host. This is what I usually build on. (GitHub)
  • Activepieces — A genuinely permissive (MIT) no-code automation tool with an AI/MCP focus and free unlimited self-hosting. (GitHub)
  • Node-RED — Flow-based wiring of APIs, devices and services; a long-time favourite for IoT and edge. Open source (Apache-2.0). (GitHub)
  • Windmill — Turns scripts (Python, TypeScript, Go, Bash) into workflows and internal UIs — a developer's automation hub. Open source (AGPL-3.0). (GitHub)

Two more worth knowing if you self-host: Huginn, a long-running “agents that watch the web” system (MIT), and Automatisch, an open Zapier clone (AGPL-3.0).

Tier 3 · Developer-grade orchestration

When automations become long-running, mission-critical or need to survive failures, you move from no-code into code-first engines. This is engineering territory, not a weekend project. And if you're already on AWS, its native pieces — Step Functions, EventBridge, Lambda — do the same job inside your account.

  • Trigger.dev — Write long-running background jobs and AI workflows in TypeScript, with no timeouts. Open source (Apache-2.0), self-hostable. (GitHub)
  • Temporal — A durable-execution engine for fault-tolerant, code-defined workflows, used by the likes of Snap and OpenAI. Open source (MIT), but operationally heavy. (GitHub)

Apache Airflow often comes up here — but it's a data-pipeline scheduler for engineers, not a no-code app-automation tool. Useful, just a different kind of tool than the rest here.

Enterprise iPaaS — when you're a much bigger company

There's a heavyweight tier built for large organisations: deep governance, hundreds of connectors, and sales-led pricing that's almost never published — realistically €10k to €300k+ a year on annual contracts. For a solo operator or small business this is overkill and overpriced, but it's worth knowing the names so you recognise them in a tender.

  • Workato — A leading enterprise iPaaS with workflow “recipes” and a growing focus on orchestrating AI agents.
  • Celigo — Mid-market iPaaS (integrator.io) with 1,000+ connectors, strong in NetSuite, e-commerce and finance.
  • MuleSoft Anypoint — Salesforce-owned, API-led integration and API management for large IT estates.
  • Boomi — Low-code enterprise integration with lightweight “Atom” runtimes you can run in the cloud or on-prem.
  • Tray.ai — An AI-native integration platform for building agents and governing MCP across hundreds of connectors. Formerly Tray.io.

Others in this bracket: SnapLogic, Microsoft's Power Automate, Informatica and Jitterbit. All sales-led, all enterprise-priced.

Where to start — and when AI actually matters

Don't start with the biggest project. Start with the dullest thing you repeat every week — logging enquiries, copying data between two apps, chasing reminders, generating invoices, triaging customer-service messages. Build that one cleanly so it holds, then expand. And for plenty of automations you don't need AI at all yet — fixed rules are cheaper and more reliable. AI is worth adding only when a step needs judgement that rules can't express — reading a messy email and deciding where it should go, say. That's when an AI agent sits at the core of the automation rather than beside it.

Where I fit. I usually build on n8n plus your APIs, with an AI core only where it pays for itself — one process at a time, fixed price per process. If you'd rather DIY, n8n or Activepieces is the place to start, and I'm glad to point you at the right first workflow on a call.

AI automation, in detail

Common questions.

Zapier, Make or n8n — which one?

Zapier if you want the fastest possible start and don't mind paying per task. Make for more complex logic at a lower per-run cost. n8n if you'd rather self-host and stop paying per task as volume grows.

Can I self-host to avoid per-task fees?

Yes — that's the main reason to. Tools like n8n, Activepieces or Node-RED run on a small server (~€5–15/month) for a flat cost, no matter how often your workflows fire. The trade: you take on the setup, updates and backups yourself, and you're the one on call when something breaks.

When do I actually need AI in an automation?

Only when a step needs judgement that fixed rules can't express — reading an unstructured email, drafting a tailored reply, deciding where something should go. For straight “when X, do Y” work, plain automation is cheaper and more reliable.

What about enterprise platforms like Workato or Celigo?

These are serious platforms, but built and priced for large companies — typically five to six figures a year. For a small business they're overkill; one of the tier-1 or tier-2 tools above will do the same job for a fraction of the cost.