Make (Integromat) vs UiPath
Side-by-side comparison — pricing, features, ratings, use cases. Find which Workflow Automation fits you best.
💰 Pricing
📋 Assessment
💪 Strengths
- Visual scenario builder shows the entire data flow, making complex logic easier to understand and debug.
- Built-in data transformation functions (regex, math, array mapping) eliminate the need for custom scripts in many cases.
- Flexible routing with filters, switch statements, and iterators lets you build workflows that adapt to different data inputs.
- Robust HTTP request module covers virtually any REST API, which is a big advantage over simpler automation tools.
- Offers a free tier and a range of paid plans, making it accessible for both small and large teams.
⚠ Watch out for
- Steeper learning curve than Zapier or IFTTT, especially if you're not familiar with concepts like modules and data structures.
- The visual editor can become cluttered and slow when you build very large scenarios with dozens of modules.
- No native support for some popular niche apps; you'll need to rely on custom API calls or third-party connectors.
- Operation limits can be consumed quickly if you're polling APIs frequently or processing large payloads.
- Real-time triggers are not always truly real-time; some are polling-based, which can delay your automations.
🎯 Best for
Teams and power users who need powerful, multi-step workflows with custom logic, and are willing to invest time in learning Make's visual builder.
🚫 Who should skip
Casual users who only need simple 2-step automations and want the quickest, most intuitive setup — they'll find Make overkill.
📚 Learning curve
Moderate to Steep — You'll need to understand the visual canvas, modules, and operation counting, but the in-app tutorials and community help.
🧑⚖️ Verdict
Make is ideal for users who need powerful, flexible automation and are willing to invest time in learning a visual but c
💰 Pricing
📋 Assessment
💪 Strengths
- Extensive library of 1,000+ pre-built activities and connectors for popular enterprise applications like SAP, Salesforce, and Microsoft, which accelerates development.
- Deep AI/ML integration through Document Understanding, AI Center, and integrations with cloud NLP/OCR services, allowing automation of unstructured document processing.
- Mature orchestration platform (UiPath Orchestrator) provides centralized management, scheduling, monitoring, and logging for hundreds or thousands of robots.
- Large community and marketplace with thousands of ready-made automation assets, tutorials, and support forums that help new developers get started.
- Visual workflow designer with low-code options appeals to non-programmers, while still supporting custom code and .NET libraries for advanced developers.
⚠ Watch out for
- Enterprise pricing is opaque and significantly expensive, especially when you need unattended robots, production-grade support, and AI modules; quotes often require a sales engagement.
- RPA bots are inherently fragile—small changes in the UI layout, application updates, or browser versions can break selectors and require costly ongoing maintenance.
- The learning curve becomes steep for complex workflows involving exception handling, integrations, and advanced script debugging; basic drag-and-drop is easy but production-ready automation requires skill.
- Technical infrastructure overhead can be high: you need to manage Orchestrator servers or pay for cloud infrastructure, plus licenses for dependencies like Windows Server and SQL databases.
- Not ideal for non-UI or API-first automation; if your target systems have modern APIs, lighter integration platforms or native automation features might be simpler and cheaper.
🎯 Best for
Medium-to-large enterprises that need to automate complex, data-heavy processes across multiple enterprise applications, especially when they require centrally managed, auditable, and scalable RPA.
🚫 Who should skip
Small businesses or individual professionals with only simple automation needs—they should consider more cost-effective, easier-to-deploy options like Microsoft Power Automate or Zapier.
📚 Learning curve
Steep — basic drag-and-drop workflows are easy to learn, but producing reliable, maintainable automation with error handling, debugging, and integrations requires structured training and RPA expertise.
🧑⚖️ Verdict
UiPath is the go-to choice for large enterprises with deep pockets that need a scalable, AI-enhanced automation platform
📊 Use Case Suitability
Higher score = better fit. Scores from editorial review.
🧭 Which One Should You Pick?
Choose Make (Integromat) if...
- You are: Teams and power users who need powerful, multi-step workflows with custom logic, and are willing to invest time in learn
- 👍 Visual scenario builder shows the entire data flow, making complex logic easier to understand and de
- 👍 Built-in data transformation functions (regex, math, array mapping) eliminate the need for custom sc
- 👍 Flexible routing with filters, switch statements, and iterators lets you build workflows that adapt
- 💰 From $9/mo
- ⚠ Trade-off: Steeper learning curve than Zapier or IFTTT, especially if you're not familiar w
Choose UiPath if...
- You are: Medium-to-large enterprises that need to automate complex, data-heavy processes across multiple enterprise applications,
- 👍 Extensive library of 1,000+ pre-built activities and connectors for popular enterprise applications
- 👍 Deep AI/ML integration through Document Understanding, AI Center, and integrations with cloud NLP/OC
- 👍 Mature orchestration platform (UiPath Orchestrator) provides centralized management, scheduling, mon
- 💰 Free tier available
- ⚠ Trade-off: Enterprise pricing is opaque and significantly expensive, especially when you ne
❓ Frequently Asked Questions
How is Make different from Zapier?
Make offers a visual canvas where you can see the entire flow of data between apps, with more powerful tools for branching, filtering, and data transformations. It's better suited for complex, multi-step workflows, while Zapier is simpler to get started with for basic integrations.
Does Make have a free plan?
Yes, Make has a free plan that includes a certain number of operations per month, but it comes with limits on data transfer and the number of active scenarios. Paid plans scale based on the number of operations you need, with higher tiers unlocking additional features like more frequent scheduling and larger data volumes.
What counts as an operation in Make?
An operation is counted every time a module in your scenario runs, such as an API request to an app, a filter, or a data transformation step. Complex scenarios with many modules and frequent runs can quickly consume your operation quota, so it's important to monitor usage.
Can I connect to all the apps I use at work?
Make has hundreds of pre-built app modules for common tools like Google Sheets, Slack, Salesforce, and Mailchimp, plus a robust HTTP module for connecting to any REST API. If a direct integration isn't available, you can often build a custom API call using webhooks or HTTP requests.
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