Best Make (Integromat) Alternatives in 2026

Quick Verdict: Top 3 Picks

Pick Best For Starting Price
Zapier Ease of use and broadest integration library $19.99/mo
n8n Open-source automation with superior AI agent capabilities Free
Pipedream Code-first automation with maximum flexibility Free/$29/mo

Make (formerly Integromat) is one of the most powerful no-code automation platforms available. Its visual canvas for building complex workflows — with branching logic, iterators, aggregators, and sophisticated data transformation — is genuinely superior to Zapier for complex use cases. And the pricing is significantly lower than Zapier for equivalent operation volumes.

But Make isn't perfect. The learning curve is steeper than Zapier. Fewer integrations (1,000+ vs. Zapier's 6,000+) means some tools aren't covered. The AI features, while present, aren't as deeply integrated as dedicated AI automation platforms. And the visual canvas, while powerful, can become unwieldy for very complex workflows.


Why Look for Make Alternatives?

  • Learning curve. Make's visual canvas is powerful but takes time to learn. Non-technical users often prefer Zapier's simpler step-by-step interface.
  • Integration gaps. 1,000+ integrations is significant, but still misses some tools that Zapier's 6,000+ library covers.
  • AI depth. Make includes AI steps but isn't purpose-built for AI-agent workflows in the way n8n is becoming.
  • Complex workflow maintenance. Very complex Make scenarios can become difficult to debug and maintain.
  • Support. Make's community support is strong but enterprise support quality varies.

7 Best Make (Integromat) Alternatives

1. Zapier

Best for: Non-technical teams that value ease of use and the broadest possible integration library.

Zapier's 6,000+ integrations and simple step-by-step interface remain unmatched for non-technical users. The "Zap builder" concept (trigger → action) is more intuitive than Make's canvas for simple workflows. AI Actions in Zapier cover basic LLM integration. Where Make clearly wins: complex logic and lower pricing at scale.

Pricing: Free / $19.99/mo (Starter) / $49/mo (Professional) / $69/mo (Team). Best for: Non-technical teams needing maximum integration coverage with simpler workflows.


2. n8n

Best for: Technical teams wanting open-source automation with first-class AI agent support.

n8n has invested heavily in AI agent capabilities that exceed both Zapier and Make: native LLM integration (OpenAI, Anthropic, local models), memory management, tool-use for agents, and agentic loop patterns. Self-hosting means no per-task pricing. For teams building sophisticated AI-powered automation, n8n's AI depth is a genuine advantage over Make.

The learning curve is comparable to Make for complex workflows. The self-hosting requirement adds infrastructure overhead.

Pricing: Free (self-hosted). Cloud: $20/mo (Starter), $50/mo (Pro), custom enterprise. Best for: Technical teams wanting sophisticated AI automation without per-task pricing.


3. Pipedream

Best for: Developers wanting code-first automation with managed hosting and a strong integration library.

Pipedream's code-first approach (JavaScript, TypeScript, Python) eliminates Make's "what do I do when there's no native step?" frustration — if you can write it, you can automate it. Managed hosting means no server management. 800+ integrations. Strong LLM integration for AI workflows. The generous free tier covers significant usage.

Pipedream's limitation: Not accessible to non-technical users. Make's visual interface is far more accessible.

Pricing: Free tier (10K credits/month). $29/mo (Basic), $49/mo (Advanced). Enterprise custom. Best for: Developers wanting maximum flexibility with managed infrastructure.


4. Microsoft Power Automate

Best for: Microsoft 365 enterprises wanting deep Office ecosystem integration.

Power Automate's Microsoft integration depth is unmatched — and no Make scenario can replicate the native SharePoint/Teams/Dynamics 365 connector quality. For enterprise organizations standardized on Microsoft, Power Automate is often the most practical choice. Copilot in Power Automate enables natural-language workflow creation.

Outside Microsoft environments, Power Automate is less compelling.

Pricing: $15/user/month (Premium). Included with many Microsoft 365 plans. Best for: Microsoft-centric enterprises.


5. Workato

Best for: Enterprise integration and automation with IT governance, audit logging, and complex enterprise connectors.

Workato targets the enterprise iPaaS market — organizations that need SOC 2 compliance, detailed audit logs, role-based access control, and connectors for SAP, Oracle, Workday, and similar enterprise systems. For enterprise IT teams that have outgrown Make's mid-market positioning, Workato provides the governance infrastructure.

Pricing: Custom enterprise. Typically $50,000+/year. Best for: Enterprise IT organizations with compliance and governance requirements.


6. Tray.io (Tray.ai)

Best for: Mid-market teams wanting enterprise-grade automation capabilities without Workato's price.

Tray.ai occupies the space between Make and Workato — more powerful than Make for enterprise use cases, more affordable than Workato. Strong data transformation, sophisticated connector library, and newer AI-powered workflow building. For mid-market RevOps and IT teams with complex integration needs, Tray is worth evaluating.

Pricing: Custom. Mid-market to enterprise pricing. Best for: Mid-market companies needing enterprise-grade integration.


7. Relay.app

Best for: Teams wanting AI-native automation with modern UX for business users.

Relay.app takes a different approach: AI is a first-class citizen in every workflow. Steps like "summarize this email," "classify this support ticket," "generate a reply draft," and "extract data from this document" are native blocks alongside traditional integrations. The UX is clean and modern. Integration breadth is growing but not yet at Make or Zapier levels.

Pricing: Free tier. $9/mo (Starter), $18/mo (Team). Enterprise custom. Best for: Teams building new AI-powered workflows who want AI-first design.


Comparison Table

Tool UX Ease AI Depth Integrations Self-Host Starting Price
Make Moderate Moderate 1,000+ No Free/$9/mo
Zapier Excellent Moderate 6,000+ No $19.99/mo
n8n Moderate High 350+ Yes Free/$20/mo
Pipedream Technical High 800+ No Free/$29/mo
Power Automate Good Moderate Microsoft-deep No $15/user/mo
Workato Moderate Moderate 1,000+ No Custom
Relay.app Good High (AI-native) Growing No Free/$9/mo

How to Choose the Right Make Alternative

Choose Zapier if integration breadth is the primary driver (you need to connect a tool Make doesn't support) or if non-technical team members need to build and maintain automations.

Choose n8n if you want the power of Make's complex automation with the addition of sophisticated AI agent capabilities and no per-task pricing. Technical teams benefit most.

Choose Pipedream if you have developers who can write code and want maximum flexibility with managed infrastructure.

Choose Power Automate if your organization is Microsoft-standardized and Office app integration depth matters.

Choose Workato if you've grown to enterprise scale and need compliance features and enterprise connector depth.


Make vs. n8n: When to Choose Each

The Make vs. n8n decision comes up frequently enough that it deserves specific treatment. Both are powerful, flexible automation platforms serving technical-to-moderately-technical users. The key differentiators:

Hosting model: Make is SaaS only. n8n is self-hostable (the primary option for data-sensitive organizations) or available as a cloud service. If data residency, private network access, or cost-at-scale are important, n8n's self-hosting option is a genuine advantage.

AI agent depth: n8n has invested more heavily in AI agent capabilities than Make. The n8n "AI Agent" node supports LangChain-based patterns — multi-step reasoning, tool use, memory, and agentic loop patterns where the AI decides what to do next rather than following a predetermined path. Make's AI steps are primarily "call an API, process the response" rather than true agentic patterns. For teams building sophisticated AI workflows, n8n's AI capabilities are more mature.

Interface: Make's visual canvas is generally considered more polished and intuitive than n8n's interface, especially for complex multi-module scenarios. Both use visual workflow builders, but Make's UI quality has a slight edge for teams doing complex automation visually.

Pricing at scale: n8n self-hosted has no per-execution cost (you pay for server infrastructure, typically $10–$30/month for a VPS). Make's pricing scales with operations — at high volumes, self-hosted n8n becomes significantly cheaper. For teams running hundreds of thousands of operations per month, n8n's self-hosted model can save $500–$2,000+/month compared to Make.

Integration breadth: Make has 1,000+ integrations; n8n has 350+ with growing coverage. Make is more likely to have native connectors for obscure or niche tools. For teams connecting standard business apps (Salesforce, HubSpot, Slack, Google Workspace, Notion), both have adequate coverage.

The summary: choose Make if you want hosted, polished, and broader integrations with acceptable pricing. Choose n8n self-hosted if you want AI agent depth, no per-execution cost at scale, and data sovereignty.


FAQ

Q: Is Make cheaper than Zapier? A: Generally yes, especially for complex multi-step workflows. Make charges per operation (each step in a workflow) while Zapier charges per task. The math favors Make for workflows with many steps. For simple 2-step workflows, the price difference is smaller.

Q: Is n8n better than Make? A: For technical teams focused on AI automation, n8n has surpassed Make in AI agent capabilities. For visual workflow building with a broad integration library, Make's interface is better. n8n's self-hosting is a significant advantage for data-sensitive use cases.

Q: Can Make handle AI workflows? A: Make includes OpenAI, Anthropic, and other AI modules. For basic AI integration (call an API, process the response), Make works well. For sophisticated agentic workflows (multi-step reasoning, memory, tool use), n8n or purpose-built AI platforms are more capable.

Q: Is Make easy to learn? A: Relative to Zapier: no. Relative to building automations in code: yes. Make's canvas interface takes 1–2 weeks to become proficient with. Most non-technical users initially prefer Zapier's simpler interface. Technical users often prefer Make's power.

Q: What's the best Make alternative for enterprise? A: Workato for compliance-heavy environments. Microsoft Power Automate for Microsoft-centric organizations. n8n self-hosted for data privacy requirements with technical teams. Zapier for enterprise teams that value simplicity and integration breadth over power.