Make (formerly Integromat) occupies the middle ground in the automation stack: more powerful than Zapier, more accessible than n8n. Its visual canvas lets you see the entire flow of data through a scenario at once — which modules run, which paths branch, where data is transformed — making it easier to build and debug complex workflows than Zapier's linear, step-by-step interface.
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What is Make?
Make is a cloud-based visual automation platform that connects apps through "scenarios" — flowchart-like diagrams where each node is a module (trigger, action, router, aggregator, or transformer). You drag modules onto a canvas, connect them, configure the data mappings between them, and activate the scenario. Make handles scheduling, retries, error routing, and execution history.
Target audience
Ops-minded business owners, marketing and revenue operations teams, technical non-developers, and anyone who has outgrown Zapier's pricing or hit limits on data transformation. Also strong for agencies building automations for multiple clients.
Core capabilities
- 1,000+ native app integrations including all major CRM, marketing, and productivity tools
- Visual scenario builder with routers, aggregators, iterators, and filters
- Advanced data transformation using Make's formula language
- Native HTTP/REST and JSON modules for connecting any API
- Error handling with dedicated error routes and retry logic
- Native modules for OpenAI, Anthropic, Google AI, and other AI providers
Why Make beats Zapier for complex workflows
Make's core advantage over Zapier is how it handles data. In Zapier, every step passes data forward linearly. In Make, you can aggregate data from multiple sources, iterate over arrays item by item, branch into parallel paths with a router, merge results, and transform data using built-in functions — all visible on the canvas at once.
Pricing is also significantly lower at scale. Make charges per operation (each module execution), and its Core plan provides 10,000 operations for USD $9/month. Zapier's equivalent task volume costs $49–$73/month. For businesses running high-volume automations, Make frequently pays for itself in cost savings versus Zapier alone.
According to Make's 2024 platform statistics, over 500,000 organizations use Make to run more than 150 million scenarios per month — a strong signal of production-grade reliability.
What does Make look like in practice?
A typical Make scenario for a client onboarding workflow:
The router allows conditional branching — for example, routing enterprise-size submissions to one path and SMB submissions to another, each with different follow-up logic. This is difficult in Zapier and natural in Make.
Make vs Zapier vs n8n
| Make | Zapier | n8n | |
|---|---|---|---|
| Visual builder | Canvas (full flowchart) | Linear steps | Canvas |
| Data transformation | Strong | Basic | Full code |
| Integration count | 1,000+ | 7,000+ | 500+ |
| Cost per 10k ops | ~$9/mo | ~$49/mo | Free (self-hosted) |
| Learning curve | Moderate | Easy | Steep |
| Self-hosting | No | No | Yes |
Where Make falls short
Make has fewer native integrations than Zapier — 1,000 vs 7,000. For businesses using less common or niche SaaS tools, Zapier may be the only option that has a pre-built connector. The HTTP module covers the gap in many cases, but it requires knowing the API you're connecting to.
Make is also cloud-only with no self-hosting option. For teams with data residency requirements or who want to keep automation infrastructure on-premise, n8n is the correct choice.
Strengths
- Visual canvas makes complex workflows readable and maintainable
- Significantly cheaper than Zapier at scale
- Strong data transformation without code
- Native AI modules for OpenAI, Anthropic, and others
Watch-outs
- Steeper learning curve than Zapier — expect a few hours to get comfortable
- Fewer integrations than Zapier — check your tools are supported before committing
- No self-hosting option for data-sensitive environments
- Formula language for data transformation takes practice
How Aurora Designs uses Make
Make is our go-to recommendation for clients who have validated automation with Zapier and are ready to handle more complex workflows, or who are running enough volume that Zapier's cost is becoming a concern. We build, document, and hand off Make scenarios with error notifications and a monitoring setup so your team knows immediately if something breaks.
The bottom line
- Make is the best visual automation platform for complex, data-heavy workflows.
- It is significantly cheaper than Zapier at scale — often 5–8x lower cost per operation.
- The learning curve is real, but the canvas view pays dividends when debugging and maintaining complex scenarios.
- If you're paying more than $50/month on Zapier, a Make migration is usually worth evaluating.
FAQ
What is Make (formerly Integromat)?
Make is a visual automation platform that connects 1,000+ apps and lets you build complex workflows with data transformation, routing, and error handling — without writing code.
How much does Make cost?
Make has a free plan with 1,000 operations/month. The Core plan is USD $9/month for 10,000 operations. Significantly cheaper per operation than Zapier at scale.
Is Make harder to use than Zapier?
Yes. Make has a steeper learning curve, but its visual canvas gives you far more control over data flow, branching, and error handling than Zapier's linear builder.
What is the difference between Make and n8n?
Make is cloud-only with a polished visual builder. n8n offers a similar visual approach but supports self-hosting and full JavaScript/Python for custom logic.
Can Make connect to any API?
Yes. Make's HTTP module connects to any REST API, and the JSON and XML modules handle data formatting for services without native Make integrations.
Is Make good for AI automation?
Yes. Make has native modules for OpenAI, Anthropic, and other AI providers, making it practical to build AI-augmented workflows without custom code.