Make.com Alternatives: 8 Automation Tools Compared (2026)

Key takeaways

• Make.com is the visual automation platform, formerly Integromat. GNU Make is a separate build tool. Different products.
• The strongest Make.com alternatives are still visual scenario builders: n8n for cost and self-hosting, Zapier for integrations, Workato and Tray for enterprise.
• Make bills per operation, so cost climbs with usage rather than value.
• Visual tools route data on fixed rules. They struggle when a step needs judgment on unstructured input.
• For judgment work you need to govern, an agent that builds a deterministic app fits where a scenario graph does not.

What is the best Make.com alternative?

There is no single best Make.com alternative. It depends on the job. For lower cost or self-hosting, n8n leads. For the widest app ecosystem, Zapier. For enterprise integration, Workato or Tray. All of these are visual scenario builders you wire by hand. When a step needs judgment rather than fixed-rule routing, an agent that reasons once and commits the repeatable path to a governed app fits better than a scenario graph. Make.com is the automation platform once called Integromat, and GNU Make is a separate build tool covered below.

Make.com or GNU Make? Quick disambiguation

If you came here to replace GNU Make, the build tool driven by a Makefile, this is the wrong page. For that, look at Taskfile (taskfile.dev), Just, or a plain shell script. Everything below is about Make.com, the visual automation platform once called Integromat. If that is the Make you use, keep reading.

Why teams look for a Make.com alternative

Make.com is good at what it does. You drag modules onto a canvas, wire them together, and a scenario fires when a trigger hits. For app-to-app routing, moving a Typeform response into a Google Sheet and pinging Slack, it is quick to build and cheaper to run at volume than most task-based tools. That visual routing depth is the real strength, and no honest comparison should pretend otherwise.

Three things push teams to look elsewhere.

Pricing at scale. Make bills per operation, now counted as credits: each module action in a scenario is one credit, and the free tier caps at 1,000 credits a month (make.com/pricing). A ten-module scenario running a few thousand times a day burns through credits fast, and the bill tracks usage rather than value.

Scenario fragility. A canvas with dozens of chained modules, routers, and filters gets hard to reason about as it grows. One upstream API change and a branch quietly stops firing. Debugging means clicking through runs on the canvas, one at a time.

Judgment limits. This is the wall most teams hit. A scenario routes on fixed rules: if field X equals Y, take this branch. The moment the branch depends on reading something unstructured, the intent behind an email or whether a contract clause looks unusual, you end up bolting keyword filters and regex onto a graph and hoping. A scenario builder was not designed for that.

The first two problems have visual-tool answers. The third does not, and it is where an agent-built approach earns its place.

A concrete version: inbound support email lands, and you want it routed by what the sender actually needs, a billing dispute to finance, a bug to engineering, a cancellation risk to the account owner. In Make you approximate that with keyword filters ("refund", "broken", "cancel") feeding a router. It works until someone writes "this keeps charging me and I'm done," which is a cancellation risk that no single keyword catches, and the filter sends it to billing. You add more filters, then filters to catch the filters, and the graph turns brittle while every run still costs operations.

Quick comparison

Eight real Make.com alternatives, plus where an agent-built app fits. Pricing is from each vendor's public page as of July 2026. Verify before you buy, since these change.

• n8n: Best for: Cost control, self-hosting. Pricing model: Fair-code, Cloud from €20/mo, self-host free. Self-host?: Yes. Approach: Visual routing + code node.
• Zapier: Best for: Widest app ecosystem. Pricing model: Task-based, Pro from $19.99/mo. Self-host?: No. Approach: Visual routing.
• Workato: Best for: Enterprise integration. Pricing model: Custom (contact sales). Self-host?: No. Approach: Visual routing (recipes).
• Tray (Tray.ai): Best for: Complex enterprise ops. Pricing model: Custom (contact sales). Self-host?: No. Approach: Low-code visual routing.
• Power Automate: Best for: Microsoft-heavy orgs. Pricing model: $15/user/mo, RPA per-bot. Self-host?: No. Approach: Visual routing + RPA.
• Lindy: Best for: AI assistant for inbox/calendar. Pricing model: $49.99 to $199.99/mo. Self-host?: No. Approach: AI assistant.
• Gumloop: Best for: Visual AI/LLM workflows. Pricing model: Free + paid tiers. Self-host?: No. Approach: Visual routing + LLM steps.
• Activepieces: Best for: Open-source automation. Pricing model: MIT, Cloud from $5/active flow. Self-host?: Yes. Approach: Visual routing.
• Major: Best for: Judgment work you can govern. Pricing model: Contact sales. Self-host?: Managed platform. Approach: Agent-built deterministic app.

The eight alternatives (and where Major fits)

n8n

n8n is a source-available workflow tool you can run yourself. It is node-based like Make, but a code node lets you drop into JavaScript or Python when the visual nodes run out. It ships under a fair-code Sustainable Use License, and the Community Edition is free to self-host from GitHub (n8n.io/pricing). Managed Cloud starts at €20/mo for 2,500 executions, with Pro at €50/mo. It suits engineering-adjacent teams that want control and want off per-operation billing. The honest cost is operational: self-hosting means upgrades, backups, and scaling are yours. See our n8n vs Make comparison for the head-to-head, and n8n alternatives if it is not the fit.

Zapier

Zapier has the widest app ecosystem of anything here, with thousands of integrations and the shallowest learning curve. Pricing is task-based: Free at $0, Professional from $19.99/mo, Team from $69/mo (zapier.com/pricing). It is the right pick when integration breadth and speed matter more than cost per run. The trade-off is that task-based billing climbs at volume, and multi-step branching is less capable than Make's routers. Our Zapier vs Make piece covers the split, and Zapier alternatives widens the field.

Workato

Workato is an enterprise integration platform built around recipes, with governance, role-based access, and on-prem connectivity. Pricing is custom and gated behind sales, with no public list, so budget for an enterprise contract. It fits large organizations wiring many systems together under IT oversight. For a small team automating a handful of apps, it is more platform than the job needs.

Tray (Tray.ai)

Tray is another enterprise integration platform, with a low-code builder and a recent push into AI-assisted workflows. Pricing is custom, contact sales. It suits technical ops teams building complex integrations at scale who want more flexibility than a pure no-code tool. The cost is the usual enterprise one: opaque pricing and a real learning curve before the first workflow ships.

Microsoft Power Automate

Power Automate is Microsoft's automation layer, strongest inside the Microsoft 365 stack. It covers cloud flows and, through desktop flows, RPA for legacy systems with no API. The Premium plan is $15/user/mo, with attended and unattended RPA priced per bot (Process at $150/bot/mo) (Power Automate pricing). It makes sense for Microsoft-heavy orgs. Outside that stack, the licensing tiers are a maze and the value drops.

Lindy

Lindy is an AI assistant that acts across email, meeting notes, scheduling, and calendars, with a browser-based computer-use mode on higher tiers. Plans run $49.99/mo (Plus), $99.99/mo (Pro), and $199.99/mo (Max), with a 7-day trial and no free tier. It fits individuals and small teams who want an assistant over their inbox and calendar rather than a build tool. The usage metric is not advertised, and it is framed as an assistant, so it is a weaker fit when you need a governed, auditable process an org can own.

Gumloop

Gumloop is an AI-first automation tool with a visual builder aimed at workflows that put an LLM in the loop, content generation, data extraction, and enrichment. It offers a free tier and paid plans. It suits teams building AI-driven content and data workflows visually. It is newer, with a smaller connector library than the incumbents, and under the hood it is still a visual graph, so the judgment-branch problem applies once the logic gets real.

Activepieces

Activepieces is an open-source, MIT-licensed automation tool you can self-host, with a Zapier-like builder and a growing set of AI pieces. Cloud is usage-based: 10 free active flows, then $5 per active flow per month, while the Community Edition is free to run yourself (activepieces.com/pricing). It appeals to teams that want open-source without fair-code restrictions. The connector library is smaller than Zapier's or Make's, and self-hosting carries the same operational load as n8n.

Major

Major is the enterprise platform where agents build the software they run on, and it belongs in this list for one specific job, not for visual routing. Where every tool above runs a fixed scenario graph, Major splits the work: an agent reasons about the judgment step, then commits the repeatable path to a deterministic app with its own database, storage, and audit log. Take the support-triage case a scenario handles badly, routing an inbound email where the branch depends on the sender's intent rather than a keyword. An agent reads the message, decides the route, and the routine path it settles on becomes a governed app that runs the same way every time, reads and writes Gmail, Slack, and its own database, and logs every action. That is the agentic workflows pattern. For high-volume, purely structured app-to-app routing, Make or n8n is the better tool and we would point you there. Pricing is via sales.

How to choose

Start with one distinction. Visual routing moves data between apps on fixed rules you define in advance. Judgment work requires reading unstructured input and deciding what to do, which no fixed rule captures cleanly.

Once you know which kind of work you have, work through the pick in order:

1. Name the work. Decide whether the task is visual routing on fixed rules or judgment on unstructured input.
2. If you want cheapest or self-hosted, choose n8n (fair-code) or Activepieces (MIT), provided you can run and maintain the infrastructure.
3. If you need the most integrations, choose Zapier, by a wide margin.
4. If you run complex enterprise integration, choose Workato or Tray, or Power Automate if you are already a Microsoft shop.
5. If the work is judgment you need to govern, choose an agent that builds a deterministic app, which is Major's lane.

Then weigh two more axes: self-host versus cloud (control and cost against operational burden), and operations-based versus task-based pricing. Make's per-operation model can beat Zapier's per-task model once a scenario has many modules per run. Match the billing model to how your workflows actually fan out.

What this comparison does not cover

This is a functional comparison of automation approaches, not a full buyer's audit. It does not benchmark uptime, list every connector each tool supports, or dig into SOC 2 and data-residency terms you will need for procurement. Prices are the public figures as of July 2026 and shift often, so confirm current tiers with each vendor. It also does not cover GNU Make, the build tool, beyond the disambiguation above. Treat this as a starting map, then validate the shortlist against your own security and volume requirements.

The Major take

Every alternative on this list, Make.com included, runs a fixed scenario graph. That is exactly right for deterministic app-to-app routing, and if that is your whole problem, pick the visual tool that fits your budget and ecosystem. The graph starts to fail when a step needs judgment. You wire filters and branches to approximate reading intent, the approximation degrades as inputs vary, and you keep paying per operation while it does.

Major splits the workflow instead. An agent reasons about the judgment step once, then commits the repeatable path to a deterministic app with its own state and an audit log. The repeatable work leaves the model and runs as code, so it behaves the same way every time, and governance sits at the point where the agent acts rather than in a prompt no one can inspect. Reason once. Run forever. For pure visual data-routing, keep Make or choose n8n. For judgment you have to be able to govern, that is what Major is for.

If your Make.com scenario keeps breaking on the one branch that needs a human read, that is the workflow to move first. On Major, an agent works out the judgment call and turns the routine path into a governed app with its own database and audit trail, so it runs the same way every time. Get started on Major and build your support-triage agent.

Related articles

• Zapier vs Make: which automation platform to pick
• n8n vs Make: self-hosted control vs visual convenience
• Agentic workflows: when an agent beats a scenario graph