13 Best Make (Integromat) Alternatives in 2026

The strongest Make (Integromat) alternatives in 2026 are Zapier, n8n, Microsoft Power Automate, Activepieces, Pipedream, Pabbly Connect, Integrately, Workato, Tray.ai, IFTTT, Zoho Flow, Parabola, and Gumloop — spanning everything from simple linear automation to enterprise-grade orchestration and AI-native agent building.

Make earned its reputation on a visual scenario canvas that lets you branch, loop, and route data in ways a straight-line builder can't easily match. But it isn't the right fit for everyone: its credit-based billing charges per module call, which can get expensive on complex, high-frequency scenarios; it has no self-hosting option; and some teams simply want a different building experience — either simpler, more code-first, or built around AI agents rather than static triggers and actions.

The 13 tools below cover those different needs, based on documented features and pricing as researched in September 2026. Automation pricing shifts often between credit models, per-execution billing, and flat rates, so treat every number here as a snapshot rather than a fixed fact — confirm current pricing directly on each provider's site before you commit.

Quick Comparison: 13 Make Alternatives at a Glance

*Prices reflect research as of September 2026 and change frequently. Verify current figures on each provider's pricing page before budgeting.

How to Choose: A Quick-Reference Guide

This is general guidance based on how each tool positions itself today, not a fixed rule — your team's technical comfort, existing software stack, and budget ceiling should still drive the final call.

1. Zapier: Best for the Widest App Library

Zapier remains the default comparison point for a reason: it connects thousands of apps with a simpler, more linear step-by-step builder than Make's branching canvas, which makes it easier for non-technical users to get a first automation working quickly. Where it trades off against Make is complexity and cost — Zapier's per-task pricing (each individual action counts as a task) tends to get expensive faster than Make's per-operation credits once workflows involve several steps, and its native branching logic is less flexible than Make's routers and iterators.

As of research in September 2026, Zapier's free plan covers 100 tasks a month, with paid plans starting around $19.99 to $29.99 a month depending on the tier and billing cycle. It's the more approachable choice for teams that value breadth and simplicity over deep customization.

2. n8n: Best for Self-Hosting and Technical Teams

n8n is the most credible way to escape Make's credit model entirely. The self-hosted Community Edition is free with no execution cap, so heavy usage doesn't translate into a rising bill — your only ongoing cost is server infrastructure. Its node-based canvas supports both pre-built connectors and custom JavaScript or Python code, plus a growing set of AI Agent and LangChain-style nodes for building more autonomous workflows.

For teams that don't want to manage their own server, n8n Cloud bills by monthly executions (one full workflow run counts as one execution, regardless of step count) rather than by individual actions. As of research in September 2026, the entry Starter cloud plan runs roughly $20 to $24 a month for around 2,500 executions. Self-hosting requires basic comfort with Docker, so it suits teams with at least some technical support on hand.

3. Microsoft Power Automate: Best Inside Microsoft 365

For organizations already paying for Microsoft 365, Power Automate is frequently the more cost-efficient path since a baseline tier with standard connectors is bundled in. The Premium tier, priced at roughly $15 per user per month as of mid-2026 research, unlocks premium connectors for third-party apps like Salesforce and Slack, plus attended desktop RPA.

Power Automate's deep integration with SharePoint, Teams, and Dataverse is a genuine advantage for Microsoft-centric teams, but per-user licensing adds up quickly across larger teams, and unattended automation (the "Process" tier) is billed separately per bot — often around $150 per bot per month. Teams whose workflows extend well outside the Microsoft ecosystem may find Make's flat credit pricing easier to predict.

4. Activepieces: Best Open-Source Option With AI Built In

Activepieces is the more modern, AI-native answer to n8n's open-source approach. Its MIT-licensed core is free to self-host, covering the visual builder, connector "pieces," and branching logic. On the managed cloud side, Activepieces moved in 2026 to per-active-flow pricing: as of research in mid-2026, the Standard cloud plan is free for up to 10 active flows, then bills a flat rate per active flow per month with unlimited runs — a structure that rewards consolidating logic into fewer, busier flows rather than the credit-per-step model Make uses.

Activepieces ships native MCP (Model Context Protocol) support and AI agent building, appealing to teams experimenting with AI-driven automation while keeping open-source flexibility. Its connector library is smaller than Make's, though it's grown quickly.

5. Pipedream: Best for Developer-First, API-Heavy Workflows

Pipedream sits closer to a developer platform than a visual automation tool. Workflows are built from steps that can be pre-built actions or raw Node.js, Python, Go, or Bash code, making it a strong fit for teams automating around APIs without polished no-code connectors elsewhere. Unlike Make's module-based canvas, Pipedream gives engineers granular control over exactly what each step does.

Pipedream includes a free tier for light use, with paid plans priced from roughly $29 a month up to about $99 a month as of mid-2026 research, billed on a credit-based compute model. This makes cost less predictable at very high volume than Make's flat operation-based tiers, but it trades that for far more flexibility. Non-technical users will likely find the interface less approachable than Make's drag-and-drop scenario builder.

6. Pabbly Connect: Best for Flat-Rate, Budget-Conscious Teams

Pabbly Connect's main differentiator versus Make is pricing structure: all paid plans include unlimited workflows, with the only cap being total monthly tasks, and Pabbly also sells one-time lifetime-access deals as an alternative to recurring billing — something Make doesn't offer. Reported figures for the annual monthly-billed plans place the entry tier somewhere in the $16 to $25 a month range for roughly 10,000 to 12,000 tasks, though published numbers vary noticeably by source and promotion, so checking Pabbly's current pricing page directly matters more than usual here.

The free plan (around 100 tasks a month) is enough only for testing. Pabbly's documentation and support responsiveness are generally reported as thinner than Make's, which matters more if your automations are business-critical.

7. Integrately: Best for One-Click, Pre-Built Templates

Where Make asks you to design a scenario from scratch, Integrately's core pitch is speed: it ships with a large library of pre-built, one-click automations for common app pairings, so non-technical users can activate a working integration without touching a canvas at all. That trade-off — less flexibility for faster setup — makes it a reasonable fit for solo operators whose needs match common patterns.

As of research in September 2026, Integrately's paid tiers start at roughly $19.99 a month (Starter) and scale up to around $239 a month (Business), priced by monthly task volume and premium app access. Its free plan is limited rather than generous. For genuinely custom, multi-branch logic, Make's scenario builder still offers more flexibility.

8. Workato: Best for Enterprise IT Governance

Workato plays in a different segment than Make entirely — it's built for enterprise IT and operations teams needing governed, auditable automation across HR, finance, and support systems, not individuals replacing a handful of scenarios. It supports over a thousand connectors, enterprise-grade data loss prevention, process mining, and AI-driven "recipe" building.

Workato doesn't publish self-service pricing; contracts are quote-based and, based on third-party pricing trackers reviewed in 2026, often start in the five-figure annual range depending on usage volume. There's no free tier, making it a poor fit for small teams but a legitimate Make replacement for organizations that need centralized governance over who builds and runs automations.

9. Tray.ai (Formerly Tray.io): Best for Multi-Department Orchestration

Tray.ai targets the same enterprise iPaaS space as Workato, with particular emphasis on its Merlin AI agent builder and a visual canvas that reviewers generally rate as one of the more flexible in the category — arguably the closest enterprise equivalent to Make's branching scenario design, just at enterprise scale and price. It supports around 600-plus connectors, fewer than Make, but compensates with a connector development kit for building custom integrations.

Like Workato, Tray.ai's pricing is entirely quote-based with no published self-service tiers. Third-party pricing trackers reviewed in 2026 suggest entry contracts often start around $500 a month, with reported annual spend commonly in the tens of thousands of dollars depending on task volume. There's no permanent free plan, only a trial.

10. IFTTT: Best for Simple Personal Automation

IFTTT (If This Then That) is the simplest tool on this list, built for individuals rather than businesses. Its "applet" model connects a single trigger to a single action, or a small chain of actions, across roughly 800 consumer and smart-home services. It has none of Make's branching, routing, or data-transformation capabilities, but for straightforward personal automations — syncing a calendar, posting to social media, controlling a smart-home device — it needs far less setup.

As of research in mid-2026, IFTTT's free plan covers 2 active applets, with Pro (around $3 a month) raising that to 20 applets with multi-action support, and Pro+ (roughly $9 to $15 a month, reported figures vary by source) removing the applet cap and adding conditional logic. It's a downgrade in power from Make but a meaningful downgrade in price and complexity too, which is the point for its target user.

11. Zoho Flow: Best Inside an Existing Zoho Stack

Zoho Flow is Zoho's own answer to Make, and it makes the most sense for teams already running Zoho CRM, Zoho Books, or other Zoho apps, where native integration is tighter than what a third-party tool can offer. It supports integration with a broad set of cloud and on-premise apps beyond Zoho's own suite as well, with a visual builder, conditional branching, and debugging tools that cover similar ground to Make's scenario canvas, if with a smaller third-party connector count.

As of research in September 2026, Zoho Flow's paid plans start around $10 to $11 a month for a Standard tier and scale to roughly $27 a month for Professional, generally undercutting Make on headline price for comparable task volumes, plus a limited free plan. Ease-of-use reviews are mixed compared to Make's more polished builder.

12. Parabola: Best for Visual Data-Transformation Pipelines

Parabola occupies a narrower niche than Make: it's built specifically for reshaping, cleaning, and transforming data — merging spreadsheets, deduplicating records, restructuring exports — through a visual, spreadsheet-like canvas, rather than general trigger-action app connections. Teams that use Make primarily to move and reformat data between systems, rather than to trigger actions across many different apps, sometimes find Parabola's data-first design more intuitive for that specific job.

Parabola's pricing is credit-based: a free Basic plan exists for individuals exploring automation, with the Explorer plan around $20 a month (1,500 credits) and Collaborator around $400 a month for team use, as of research in mid-2026. It has a much smaller app connector library than Make and isn't a general-purpose replacement — it's a better fit as a complement for data-heavy pipelines than a full swap.

13. Gumloop: Best for AI-Native, LLM-Powered Workflows

Gumloop represents the newest category on this list: an AI-first workflow builder where nodes can call large language models directly inside a flow — summarizing text, extracting structured data from documents, scoring leads, or routing decisions based on AI judgment — rather than the fixed trigger-action logic Make and most traditional automation tools use. Its visual, node-based canvas will feel somewhat familiar to Make users, but the emphasis is squarely on AI-driven steps rather than simple app-to-app data transfer.

As of research in 2026, Gumloop offers a free tier (around 2,000 credits), a Solo plan at roughly $37 a month (10,000 credits), and a Pro plan around $97 a month with team features, plus custom Enterprise pricing. Credit consumption scales with how AI-heavy your workflow is, so batch document processing or multi-model chaining can burn through an allowance faster than the headline price suggests. It suits teams whose bottleneck is judgment-based automation rather than straightforward data routing.

Common Mistakes When Switching From Make

Comparing headline prices without modeling your actual workflow. A tool that looks cheaper per month can cost more in practice once you account for how it counts usage — Make's per-operation credits, n8n's per-execution billing, and Activepieces' per-active-flow pricing all measure different things, so a direct dollar comparison is often misleading without testing a realistic scenario.

Assuming every alternative offers the same branching logic. Make's routers, iterators, and aggregators are more advanced than what several linear tools (Zapier, IFTTT, Integrately) offer natively. If your scenarios rely heavily on conditional branching, check that the replacement genuinely supports it before switching.

Overlooking self-hosting when data residency matters. Of the tools above, only n8n and Activepieces offer genuine self-hosting; everything else runs entirely on vendor infrastructure, which may or may not be acceptable depending on your compliance requirements.

Treating "best overall" as a fixed answer rather than a context-dependent one. What's right for a solo operator automating a handful of simple workflows is rarely right for an enterprise team governing hundreds of automations across departments — the correct pick depends on team size, technical skill, existing software stack, and compliance needs, not a single universal ranking.

Underestimating rebuild time. Migrating scenarios out of Make, even into a visually similar builder, typically means manually recreating each one rather than a clean bulk import, especially once conditional routing or multiple triggers are involved.

Understanding the Billing Terms: Tasks, Credits, Operations, and Executions

Automation platforms don't share a common vocabulary for what you're actually paying for, which makes side-by-side price comparisons harder than they look. This is general orientation rather than a precise conversion, since each vendor defines its unit slightly differently.

Because a "credit" in one tool doesn't map one-to-one to a "task" or "execution" in another, the only reliable way to compare real cost is to model your actual workflow — step count, branching, and run frequency — inside each platform's own pricing calculator before committing.

Some readers researching this topic are really after a narrower answer — for example, whether it's worth migrating an active Make account mid-project, or which of these tools handles complex multi-branch scenarios as well as Make does. Those deserve their own dedicated guides rather than being compressed into a single paragraph here. [internal link opportunity: how to migrate scenarios from Make.com to another automation platform]

For teams whose real bottleneck is building AI-driven steps into automation, rather than simple app-to-app data transfer, it's also worth reading up on free AI automation tools and no-code AI workflow builders, since several tools above (n8n, Activepieces, Gumloop) increasingly blend traditional automation with AI agent features.

Frequently Asked Questions

What is the closest alternative to Make in terms of features?

 n8n and Activepieces are generally the closest matches in capability — both offer visual, branching workflow canvases comparable to Make's scenario builder, with the added option of self-hosting that Make doesn't provide. Zoho Flow is also structurally similar but with a smaller third-party connector library.

Is there a genuinely free, unlimited Make alternative? 

Self-hosted n8n and self-hosted Activepieces are the closest to genuinely unlimited free options, since their Community Editions have no execution or run caps — the real cost is whatever server you run them on plus the technical time to maintain it.

Which Make alternative is easiest for non-technical users? 

Zapier and Integrately are generally the most approachable for people without automation experience. Zapier's linear step-by-step builder requires less conceptual setup than Make's canvas, while Integrately's one-click pre-built automations need almost no configuration for common workflows.

Can I import my Make scenarios automatically into another tool? 

No major alternative offers a fully automatic scenario import; workflows generally need to be manually recreated, even in visually similar builders like n8n or Activepieces. Budget real hands-on time per scenario, especially for anything using routers or iterators.

Do any of these tools go beyond simple triggers into AI-driven decisions?

 Yes — n8n, Activepieces, Tray.ai, Workato, and especially Gumloop have all added AI agent or LLM-calling features, reflecting a broader shift from static trigger-action automation toward workflows that make judgment calls using AI models mid-flow.

Is Zapier cheaper or more expensive than Make? 

It depends entirely on your workflow shape. Zapier bills per task (each action), while Make bills per operation (each module call) — for simple, low-frequency automations the difference is often small, but Make's credit model tends to work out cheaper for complex, multi-step scenarios run frequently. Model your actual usage in both platforms' calculators rather than comparing sticker prices alone.

What's the best Make alternative for a small business on a tight budget? 

Pabbly Connect's flat-rate and lifetime-deal pricing, or n8n's self-hosted free tier if you have some technical capacity, are generally the most budget-friendly paths. IFTTT works too, but only for very simple, low-volume automations rather than genuine business workflows.

Should I choose a general automation tool or an AI-native one like Gumloop? 

That depends on what your workflow needs to do. If you're primarily moving data between apps on fixed rules — new form entry to CRM record, new order to Slack message — a general tool like Make, Zapier, or n8n is usually simpler and cheaper. If your workflow needs to make judgment calls that vary by content (summarizing, classifying, extracting inconsistent data), an AI-native builder like Gumloop or Activepieces' AI nodes is generally a better fit.

Suggested Internal Links

• https://brightseotools.com/post/11-best-free-ai-automation-tools-2026
• https://brightseotools.com/post/7-free-ai-workflow-builders-no-code
• https://brightseotools.com/post/9-free-ai-task-automation-tools
• https://brightseotools.com/post/5-free-ai-agent-builders-2026
• https://brightseotools.com/post/Best-AI-Agent-Platforms-You-Need-to-Know-About-Right-Now
• https://brightseotools.com/post/What-Are-AI-Agents-The-Complete-Beginners-Guide