If you’ve ever tried to connect multiple apps or automate repetitive tasks, you know the promise of platforms like Zapier and Make (formerly Integromat) is tempting: “Connect anything to anything.” What Integrations Exist In Zapier Vs Make?
But in practice, integrations aren’t all created equal. It’s one thing to see a list of 5,000+ apps; it’s another to have those apps actually behave the way you need in a workflow.
Understanding integrations isn’t just about knowing what’s available it’s about knowing what works, what’s flexible, and where things break down. In my experience, people waste hours assuming every app connection is plug-and-play. Sometimes it’s a field mismatch, a missing trigger, or a subtle limitation in the API that ruins a workflow. Other times, a platform’s unique integration features like Make’s scenario builder or Zapier’s templates can save you entire days of manual work.
This post dives deep. I’ll explain how integrations in Zapier and Make actually function, where they excel, where they fall short, and how you can leverage them to streamline real workflows in marketing, finance, e-commerce, productivity, and beyond.
Overview of Zapier and Make
Zapier and Make are the two most popular “no-code” automation platforms, but they approach integration differently. Zapier is built around simplicity and speed. Its core philosophy is: trigger an event in one app, take an action in another, repeat.
Think of it like a highly structured “if this, then that” pipeline. In practice, this makes Zapier excellent for straightforward automations: moving data from Gmail to Google Sheets, posting to Slack when a form is filled, or syncing CRM entries to email marketing platforms. I’ve used Zapier dozens of times for these kinds of tasks, and the learning curve is almost nonexistent your workflow is usually live within an hour.
Make, on the other hand, is designed for flexibility and complexity. Its visual scenario builder shows data moving between apps step by step. You can route information conditionally, transform it in-line, or loop through lists all without writing code.
In my experience, Make shines when workflows are non-linear or involve multiple decision points. For example, I once built a Make scenario to scrape lead data, check it against multiple CRMs, filter duplicates, enrich with third-party APIs, and then post to Slack and email all in a single scenario. Doing the same in Zapier would have required multiple Zaps and convoluted workarounds.
Both platforms target similar users small businesses, marketers, operations teams but the experience and limitations of their integrations are very different. Zapier favors breadth and simplicity; Make favors depth and control.
Integration Volume: Breadth vs Depth
Zapier claims to support over 5,000 apps. That’s impressive, but numbers alone can be misleading. Many integrations are “basic” you might only get triggers like “new record created” or actions like “send email.” In practical terms, you often run into gaps when you need full API functionality. For example, Zapier’s Shopify integration covers orders, customers, and products well, but digging into advanced store analytics or custom metafields can be tricky.
Make supports fewer apps overall, roughly 1,200+, but it compensates with depth. Its modules often expose more granular functionality, including rare API endpoints. I’ve built Make scenarios that manipulate JSON from custom APIs in ways Zapier couldn’t without adding extra middleware. The trade-off is that learning Make takes longer, and some integrations require more setup, particularly authentication with OAuth2 or API keys.
Real-world implication? If you need “one-off” integrations for common apps like Gmail, Slack, Trello, or Stripe, Zapier is fast and reliable. If your workflow needs advanced logic, loops, conditional routing, or rare API endpoints, Make is more capable. I often tell clients: start with Zapier for speed, switch to Make when you hit limitations.
| Feature | Zapier | Make |
|---|---|---|
| Number of apps | 5,000+ | 1,200+ |
| Complexity handling | Limited | Advanced |
| Conditional routing | Minimal | Full |
| Multi-step scenarios | Yes | Yes, with loops & transformations |
| Learning curve | Low | Moderate to high |
Categories of Integrations
Understanding integrations also means understanding how they are used. Both platforms cover similar categories, but their real-world application differs.
Marketing
Both Zapier and Make handle email, social media, CRM, and analytics. For example, in Zapier, you can trigger a Mailchimp email campaign whenever a new lead is added to Salesforce. Simple, predictable, fast.
Make adds more nuance. I once built a workflow to check Twitter mentions, enrich user data via Clearbit, and categorize leads into different email sequences all in one scenario. Zapier would have required multiple Zaps, manual data cleaning, and maybe Google Sheets as a middleman.
Productivity
Productivity tools like Notion, Trello, or Asana are supported on both platforms. Zapier works great for simple task creation and reminders. Make shines when tasks need automation based on complex conditions for example, generating a recurring report only if a project’s status meets certain criteria.
E-commerce
Shopify, WooCommerce, and Etsy are widely supported. Zapier makes it easy to sync orders to spreadsheets or CRMs. Make lets you do advanced workflows like filtering orders based on product types, calculating commission splits, or updating inventory across multiple stores simultaneously.
Finance & Accounting
Zapier connects QuickBooks, Xero, and Stripe for straightforward tasks like sending invoices or recording payments. Make allows more advanced operations: conditional workflows for payments, aggregating multiple accounts’ transactions, or integrating with bank APIs not officially supported in Zapier.
In short, Make gives you depth for complex rules, while Zapier offers speed for repetitive, predictable tasks.
Unique & Advanced Integrations
Both platforms have features that go beyond simple app-to-app connections.
API & Webhooks
Zapier supports Webhooks, letting you send or receive custom JSON. In practice, I’ve used this to connect internal tools or apps with no official Zapier integration. The limitation? Zapier’s webhook module is basic you often need separate steps to parse or transform data.
Make has robust HTTP modules. You can GET, POST, PUT, or PATCH data, manipulate JSON with built-in functions, and even iterate over arrays. I’ve built Make scenarios where we pull data from an internal API, enrich it with third-party data, and push it to multiple apps all without touching code.
Templates & Pre-Built Scenarios
Zapier’s templates are plug-and-play and excellent for common tasks. I’ve deployed dozens of these templates for client onboarding automations. Make also has templates, but their strength lies in complex scenarios where you can tweak routes, transformations, and conditions.
Limitations & Differences
No platform is perfect.
Zapier struggles with multi-step conditional logic. Loops and iterators are limited, so you often need multiple Zaps to achieve what Make can do in one scenario. Also, free accounts have task limits and polling delays that can be frustrating in time-sensitive workflows.
Make can be overwhelming for beginners. Its flexibility comes with complexity authentication, JSON parsing, and error handling require attention. Additionally, some apps have incomplete modules, and debugging a large scenario can be tricky.
In short: Zapier = easier but sometimes shallow; Make = powerful but requires patience and understanding.
Real-World Use Cases
Here’s how integrations actually play out:
-
Lead Management Workflow
New form submission → CRM → Email → Slack notification. Quick, simple.
Form submission → check duplicates → enrich data → CRM → custom Slack message → segmentation in email platform. -
E-commerce Order Handling
New Shopify order → Google Sheet → notify warehouse.
Shopify order → check stock across multiple stores → calculate shipping → notify warehouse → trigger invoice → update analytics dashboard. -
Marketing Automation
RSS feed → post to social media.
RSS feed → filter keywords → enrich content → schedule social posts → send summary report to team.
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Conclusion
In practice, choosing between Zapier and Make isn’t about which has more integrations it’s about how those integrations fit your workflow.
Zapier is fast, intuitive, and ideal for straightforward automations. If your goal is to connect popular apps quickly and keep things simple, it will get you moving in minutes. But it can feel restrictive once your workflows need branching, loops, or granular data control.
Make, on the other hand, gives you flexibility and power. You can manipulate data, handle complex conditions, and integrate with APIs in ways Zapier can’t. The trade-off is a steeper learning curve and more design responsibility but the payoff is workflows that scale and adapt to real-world complexity.
My practical advice: start with Zapier if speed and simplicity matter, but be ready to graduate to Make when your automations grow in complexity. Understanding not just what integrations exist, but what you can actually do with them, is what makes the difference between a workflow that barely works and one that runs like a well-oiled machine.
FAQs about What Integrations Exist In Zapier Vs Make?
Can I use Zapier for multi-step automation?
Yes, Zapier supports multi-step Zaps, meaning you can chain several actions after a single trigger. In real-world use, this works well for straightforward workflows like sending new leads from a form to a CRM, notifying your team on Slack, and adding them to an email sequence. However, once your workflow requires conditional logic, loops, or handling multiple records at once, Zapier’s branching capabilities become limited. You can still work around it using filters and paths, but for highly complex sequences, you might find yourself building multiple Zaps just to cover what Make could handle in a single scenario.
When should I use Make over Zapier?
Make shines when you need control and flexibility. If your workflow involves conditional routing, manipulating complex data structures, or integrating with custom APIs, Make lets you handle every detail from parsing nested JSON to looping through multiple items and updating multiple systems in one go. In practice, I often see teams switch to Make when Zapier becomes too restrictive, especially for e-commerce and finance workflows where data depth matters. While it takes more time to set up, the ability to build scalable, highly tailored workflows is worth the extra effort for growing businesses.
Is Make harder to learn?
Yes, at first Make can feel overwhelming. Unlike Zapier’s linear approach, Make uses a visual scenario builder with routers, filters, and data mapping, which requires a bit of planning before building. That said, once you understand the logic behind modules and connections, it becomes intuitive you can see your entire workflow at a glance, including how data moves and splits between paths. In my experience, the initial learning curve pays off quickly when you start building automations that would be nearly impossible in Zapier.
Are integrations reliable on both platforms?
Generally, both platforms are reliable, but real-world reliability depends heavily on the connected apps. I’ve seen workflows fail when third-party APIs change or rate limits are hit. Zapier tends to handle simple, popular apps very smoothly, while Make allows more control over retries, error handling, and custom parsing. In practice, you often have to monitor and occasionally tweak complex integrations on either platform to maintain stability, especially for workflows involving financial data, e-commerce orders, or large data transfers.
Which is more cost-effective?
Cost depends on how many tasks or operations your workflows perform and their complexity. Zapier can be expensive if you have multi-step Zaps or high-volume triggers, because each action counts toward your monthly task limit. Make generally offers more operations per dollar and better handles bulk data processing, but the setup time can be longer. In practice, smaller teams or simpler workflows may find Zapier easier despite higher per-task costs, while larger teams with complex scenarios often save money and gain flexibility with Make, even if it takes longer to design workflows properly.
