Integromat vs Zapier: Which Automation Platform Wins in 2026?
Integromat is now called Make, since the company rebranded in 2022, and the platform most people search for as “Integromat vs Zapier” refers to the current Make vs Zapier comparison. Make wins on pricing and workflow power, while Zapier wins on app library size and ease of setup.
What Is the Difference Between Integromat and Zapier?
Make, formerly known as Integromat, offers a visual canvas-based workflow builder with logic features such as branches, iterators, aggregators, and error handling, generally at a lower price point than Zapier. Zapier connects with more than 9,000 apps, all governed directly by Zapier, so a change to a connected app’s API does not break a workflow without warning. The core distinction is depth versus breadth. Make gives technical users granular control over complex, branching workflows, while Zapier gives non-technical users a faster, simpler path from idea to working automation.
Is Integromat Still Called Integromat?
No. The platform now operates under the name Make, though many users and search queries still refer to it by its former name, Integromat. The rebrand changed the product name and interface but did not change its underlying position as a visual, operation-based automation builder.
How Do Pricing Models Differ Between Make and Zapier?
Zapier uses a per-task pricing model, while Make uses a per-operation pricing model based on the number of steps and records processed in a workflow. Zapier charges only for completed work actions, such as triggers, filters, and failed steps, with Professional pricing starting at $19.99 per month and Team pricing at $69 per month for 25 users. Make uses a credit-based model in which each module that processes data in a scenario typically consumes one credit, with its Core plan starting at $9 per month for 10,000 credits.
Make vs Zapier: Side-by-Side Comparison
The table below labels each platform’s starting price, integration count, pricing model, and free plan allowance.
| Feature | Make (formerly Integromat) | Zapier |
|---|---|---|
| Starting paid price | $9 per month | $19.99 per month |
| Pricing model | Per operation or credit | Per completed task |
| App integrations | 3,000+ apps | 9,000+ apps |
| Free plan | Multi-step scenarios included | Single-step workflows only |
| Workflow logic | Native branching, iterators, aggregators | Linear workflows, with paid add-ons for advanced logic |
| AI features | Included in all paid plans | Sold as a separate add-on |
How Many App Integrations Does Each Platform Support?
Zapier supports more than 8,000 apps, compared to Make’s more than 3,000 apps, of which 560 are AI-specific apps. Zapier’s library is roughly three times larger than Make’s, and remains the most recognizable and widely covered app directory in the automation category. Make covers most major platforms used by small and mid-sized businesses, but teams relying on niche or less common software are more likely to find direct support on Zapier.
Which Platform Is Easier to Use?
Zapier is built for non-technical operators and favors speed when setting up a first workflow for simple, single-path automations. Make uses a visual canvas with a steeper learning curve, since building branching logic, routers, and error handling requires a better understanding of how operations and modules connect. Both platforms require building two separate flows to replicate a two-way sync between two apps, a limitation shared across the category rather than unique to either tool.
Which Platform Offers Better Value for High-Volume Automation?
At equivalent volume, Make typically runs 5 to 10 times cheaper than Zapier, since Zapier’s task-based pricing scales steeply once usage moves beyond 10,000 tasks per month. A Make Core plan at $9 per month provides 10,000 operations, roughly equivalent to running a three-module scenario 3,300 times monthly, while a comparable Zapier Professional plan costs $49 per month for 2,000 tasks. Teams running high-volume, multi-step workflows generally see the largest cost gap in Make’s favor, while teams running a small number of simple, low-volume workflows see a smaller difference between the two.
What AI Features Does Each Platform Offer?
Make includes its AI Agents and Make Grid features across all paid plans, while Zapier packages AI agent and chatbot capabilities separately at additional cost. Both platforms support integration with external AI providers for tasks such as content generation and data transformation within a workflow.
Which Platform Should You Choose?
Make fits power users who need complex logic, lower cost per operation, and more automation capacity per dollar, while Zapier fits non-technical teams that need automation running within minutes and value having the largest possible app library. Teams already standardized on widely used business software with simple, linear automations generally lean toward Zapier, while teams building multi-step workflows with conditional logic generally lean toward Make.
People Also Ask
Is Integromat the same as Make? Yes, Integromat was rebranded as Make in 2022, and the two names refer to the same platform.
Is Make cheaper than Zapier? Yes, Make’s operations-based pricing is typically around 10 times cheaper than Zapier’s per-task pricing at the same tier.
Does Zapier have more integrations than Make? Yes, Zapier supports more than 9,000 apps compared to Make’s more than 3,000 apps.
Which is better for beginners, Make or Zapier? Zapier is generally easier for beginners because of its simpler setup, while Make has a steeper learning curve tied to its visual, branching workflow builder.
Olaitan Oladipo holds a BSc in Sociology from Olabisi Onabanjo University. He is a self-taught automation builder who has spent years inside n8n doing the work that most tutorials skip: debugging OAuth errors at 2am, migrating client automations from Make.com mid-project, fighting reverse proxy misconfigurations on AWS EC2, and figuring out through trial and error what actually holds up in production versus what only looks clean in a demo.
He is not a developer by training and not a SaaS founder. He is the person in the Discord server who actually answers the question instead of linking to the docs.
His writing on n8n Automation Tutorial covers self-hosting, AI agent workflows, tool comparisons, and the security vulnerabilities the automation industry would rather not discuss. He has built AI-assisted invoice approval flows using OpenAI function calling, connected Claude via HTTP Request nodes, and holds considered opinions about Zapier, Make.com, LangChain, and CrewAI that their marketing teams would not appreciate.
He writes for people who are technical enough to follow a tutorial but experienced enough to want the honest version.