Zapier vs Make: Best Automation Tool 2026
Zapier and Make are the two no-code automation platforms most often shortlisted in 2026, and they are not interchangeable. Zapier wins on the size of its app library, ease of use for simple Zaps, and brand familiarity. Make, formerly Integromat, wins on visual workflow design, pricing for multi-step scenarios, and the depth of its logic and error handling. This comparison breaks down workflow builder, integrations, pricing, error handling, advanced features, and performance so you can pick the right automation platform for your workflows.
How we evaluated: This comparison is based on official product documentation, published specifications, vendor benchmarks, and current pricing — following the ToolStep testing protocol. We did not run hands-on tests for this comparison, and we do not claim testing that did not happen.
Quick Comparison
| Feature | Zapier | Make |
|---|---|---|
| Best For | Simple app connections, large app library | Complex multi-step workflows, visual logic |
| Founded | 2011 | 2012 (as Integromat, rebranded 2020) |
| App Integrations | 7,000+ apps | 1,800+ apps |
| Workflow Builder | Linear, trigger then actions | Visual canvas with nodes and routes |
| Free Plan | 100 tasks/mo, 5 Zaps | 1,000 operations/mo, 2 scenarios |
| Starter Plan | $19.99/mo (750 tasks) | $9/mo (8,000 operations) |
| Pricing Model | Per task (each step counts) | Per operation (entire scenario counts) |
| Branching Logic | Paths (limited) | Routers, parallel paths, iterators |
| Error Handling | Basic, retry and email | Advanced, per-route error handlers |
| Real-time Triggers | Yes, polling and instant | Yes, polling and webhooks |
| Custom Code | Code step (Python, JavaScript) | Custom modules, HTTP, code |
| Mobile App | iOS, Android (monitor) | iOS, Android (monitor) |
| API Access | Developer Platform | Make API and CLI |
| Aggregate Rating | 4.5/5 (3,200 reviews) | 4.6/5 (1,800 reviews) |
What Is Zapier?
Zapier is the no-code automation platform founded in 2011 by Wade Foster, Bryan Helmig, and Mike Knoop. It was built to let non-developers connect web apps without writing code, and it popularized the trigger-and-action model that most automation platforms now copy. Zapier's defining feature is the size of its app directory, with over 7,000 integrations covering everything from major platforms like Slack, Gmail, and Salesforce to niche tools with only a few thousand users. This breadth makes Zapier the default choice when you need to connect a less popular app and want a native integration rather than custom API work.
The core unit in Zapier is the Zap, which is a linear workflow made of a trigger followed by one or more actions. Multi-step Zaps can chain many actions, and Zapier's Paths feature lets you add conditional branching, though it is more limited than a true visual flow. Zapier also offers a Code step for Python or JavaScript, a Formatter step for transforming data, and a Tables feature for storing small datasets. The platform has a clean, friendly interface that is easy for beginners, and a Developer Platform for building custom integrations. Zapier's pricing is per task, where each action step in a Zap counts as one task, which means costs scale linearly with workflow complexity.
What Is Make?
Make is the no-code automation platform originally launched as Integromat in 2012 by a Czech team led by Ondřej Gazda and Petr Šrámek. The company was acquired by Celonis in 2020 and rebranded from Integromat to Make in the same year, with a focus on visual workflow design and richer logic than Zapier. Make's defining feature is its visual canvas, where you build scenarios by dragging modules onto a flow and connecting them with lines. The canvas supports branching, parallel paths, loops, and per-route error handling, which makes Make feel closer to a visual programming environment than a simple trigger-and-action builder.
The core unit in Make is the scenario, which is a visual workflow made of modules connected on a canvas. A scenario can include a trigger, multiple actions, routers that split the flow into parallel paths, iterators that loop over arrays, and filters that control which items continue. Make charges per operation, where one operation equals one module execution, but the entire scenario run is capped so that a multi-module scenario often counts as a small number of operations rather than one per step. This pricing model makes Make significantly cheaper than Zapier for workflows with many steps. Make also offers a powerful HTTP module for connecting any API, a code module for custom logic, and built-in tools for data transformation.
Workflow Builder and Visual Design
The workflow builder is where Zapier and Make diverge most clearly. Both let you build automations without code, but the mental models are different, and which one feels better depends on the complexity of your workflows and how you think about logic.
Zapier's Linear Builder
Zapier's builder is linear and step-by-step. You pick a trigger, test it, then add actions one at a time. Each step has a clean form where you map fields from previous steps. For a simple "when I get a new lead in Typeform, add a row in Google Sheets and send a Slack message" Zap, the linear builder is fast and unintimidating. Beginners can build their first Zap in under 15 minutes. Zapier's Paths feature adds conditional branching, letting you send data down different paths based on rules, but Paths are limited in how they can be nested and combined, and you cannot see the entire flow on one canvas.
Make's Visual Canvas
Make's builder is a visual canvas where you drag modules and connect them with lines. The entire scenario is visible at once, including branches, loops, and error routes. Routers split the flow into parallel paths, iterators loop over arrays, and filters control which items pass through each connection. For a complex workflow like "for each new deal in HubSpot, check the deal value, route high-value deals to a Slack channel and a CRM update, route low-value deals to a different sheet, and send a weekly summary email," Make's canvas makes the logic visible and editable in a way Zapier's linear builder cannot match. The trade-off is that Make has a steeper learning curve, and the canvas can feel overwhelming for a simple two-step automation.
Winner: Best for simple linear workflows goes to Zapier. Best for complex visual workflows goes to Make.
App Integrations and Library
The number and quality of app integrations is the second major differentiator. Zapier has long led the market on raw app count, while Make has a smaller but still substantial library, plus strong tools for connecting anything with an API.
Zapier's App Library
Zapier's directory has over 7,000 apps, the largest of any no-code automation platform in 2026. This breadth means that when you want to connect a niche CRM, a regional email tool, or an internal app with a public Zapier integration, Zapier is the most likely to support it out of the box. Zapier also has a Developer Platform that lets you build private app integrations for tools that are not in the public directory, with a relatively friendly visual builder for defining triggers and actions. The quality of Zapier's integrations is generally high, though some community-built apps have rough edges.
Make's App Library and Universal Connectors
Make's directory has around 1,800 apps, which covers all major platforms like Google Workspace, Slack, Notion, Airtable, Salesforce, HubSpot, and most popular tools, but is less likely to support very niche apps. Make compensates with a powerful HTTP module that can connect to any app with a REST API, letting you build custom integrations by configuring endpoints, headers, and body parameters. Make also has a universal "Custom API Call" pattern within many of its app modules, so you can hit any endpoint of an integrated app that the native module does not expose. For teams with a developer on staff or a willingness to read API docs, Make's universal connectors close most of the gap with Zapier's larger library.
Winner: Best raw app library goes to Zapier. Best tools for custom API integrations go to Make.
Pricing and Operations Model
Pricing is where Make has a structural advantage for most workflows, though Zapier's entry plans can be cheaper for very simple use cases. The difference comes down to how each platform counts what you do.
| Tier | Zapier | Make |
|---|---|---|
| Free | 100 tasks/mo, 5 Zaps | 1,000 ops/mo, 2 scenarios |
| Starter | $19.99/mo (750 tasks) | $9/mo (8,000 ops) |
| Pro | $49/mo (2,000 tasks) | $16/mo (20,000 ops) |
| Teams | $69/mo (2,000 tasks, shared) | $29/mo (40,000 ops) |
| Enterprise | Custom | Custom |
| Counting Model | Per task (each step counts) | Per operation (capped per scenario) |
| Cost per 1,000 steps | ~$26 (Pro plan) | ~$0.80 (Core plan) |
Zapier charges per task, where each action step in a Zap counts as one task. A Zap with a trigger plus four actions consumes four tasks per run, so 1,000 runs would use 4,000 tasks. Make charges per operation, where one operation equals one module execution, but a scenario's total operations are calculated as the number of module executions across the run. The key difference is that Make's pricing is more forgiving for multi-step workflows because a single scenario with many modules often costs less per run than the equivalent Zap with many steps. For a 5-step workflow run 1,000 times per month, Make often costs 30 to 60 percent less than Zapier.
Zapier's free plan is more limited than Make's free plan. Zapier Free gives you 100 tasks per month and only 5 Zaps, which is enough for testing but not for real production use. Make Free gives you 1,000 operations per month and 2 scenarios, with access to the full visual builder, which is enough to run a couple of real workflows at low volume. For trying out automation before paying, Make's free plan is more useful.
Winner: Best value for multi-step workflows goes to Make. Best entry plan for very simple Zaps goes to Zapier.
Error Handling and Debugging
Error handling is where Make pulls clearly ahead of Zapier. Both platforms handle the happy path well, but Make gives you far more control when something goes wrong.
Make's Error Handling
Make lets you attach an error handler to any module, which creates a separate route that runs when the module fails. The error route can log the error to a sheet, retry the module, send a Slack alert, or route the failed item to a quarantine for manual review. You can also set per-module retry policies with backoff, and use break and ignore directives to control whether the entire scenario stops or just that item is skipped. This granularity means a single failed item in a 1,000-item batch does not break the whole run. For production workflows where reliability matters, Make's error handling is closer to a real programming model.
Zapier's Error Handling
Zapier's error handling is more basic. If a step in a Zap fails, Zapier retries it a few times, then marks the run as failed and sends you an email. You can set up a separate Zap triggered by the "Failed Zap Run" event to alert you in Slack, but you cannot define per-step error routes within the original Zap. Zapier's approach is easier to understand for beginners but limits what you can do when a workflow fails at scale. For teams running dozens of Zaps, the lack of per-step error handling can mean more manual cleanup.
Winner: Best error handling and debugging go to Make.
Advanced Features and Logic
For workflows beyond simple app-to-app connections, the depth of logic each platform supports matters. Make is the stronger tool here by a wide margin.
Branching and Loops
Make's Routers split a scenario into parallel paths, so one trigger can power multiple independent workflows. Iterators loop over arrays, so a scenario can process each item in a list separately, running the same modules for each. Aggregators combine multiple items back into a single payload, useful for batching API calls or sending a summary email. Zapier's Paths feature supports branching but is more limited, and looping in Zapier is supported via the Looping feature but is less flexible than Make's iterators. For workflows that process lists, Make is significantly more capable.
Variables and Data Storage
Make has built-in Data Stores, which are key-value stores that persist between scenario runs. You can use them to cache data, track state, or remember the last processed item. Make also supports variables within a scenario that can be passed between modules. Zapier has a Tables feature for storing small datasets and a Transfer feature for moving data between apps in bulk, but persistent state across runs is more limited. For stateful workflows, Make's Data Stores are more flexible.
Custom Code and HTTP
Both platforms support custom code. Zapier's Code step supports Python and JavaScript and runs in a sandbox. Make's code modules support JavaScript and a more powerful environment, plus the HTTP module can call any REST API with full control over headers, body, and authentication. For developers building custom integrations or working around limitations in native modules, Make's HTTP and code tools are more capable.
Winner: Best advanced features and logic go to Make.
Performance and Speed
Performance matters when you have high-volume workflows or time-sensitive triggers. Both platforms run workflows quickly, but there are real differences in how they handle scale.
Trigger Latency
Zapier supports both polling triggers, which check for new data on a schedule (typically every 1 to 15 minutes depending on your plan), and instant triggers via webhooks, which fire as soon as the source app sends data. Make similarly supports scheduled polling and instant webhook triggers. On comparable plans, both platforms deliver instant triggers within a few seconds, and neither has a meaningful edge in raw trigger latency.
Throughput and Batch Processing
Make handles batch processing more gracefully than Zapier. Because Make charges per operation and supports iterators natively, a scenario that processes 1,000 items from a Google Sheet can run them through multiple modules while counting a predictable number of operations. Zapier processes each item as a separate Zap run, which means 1,000 items consume 1,000 tasks times the number of steps, which can quickly exhaust your plan. For high-volume batch workflows, Make is more cost-effective and faster to set up.
Reliability at Scale
Both platforms are reliable for production use, with uptime generally above 99.9 percent. Make's error handling gives it an edge in resilience, because a single failed item does not stop the whole batch. Zapier's per-Zap model means a failure in one item can halt that Zap run until you resolve it. For teams running mission-critical automations, Make's per-item resilience is a meaningful advantage.
Winner: Best performance and scale go to Make.
Pros and Cons
Zapier Pros
- Largest app library with 7,000+ integrations
- Easiest builder for beginners and simple Zaps
- Clean, intuitive interface with strong onboarding
- Strong brand trust and large community
- Developer Platform for building custom apps
- Tables and Transfer features for bulk data work
- Better for very simple two-step automations
Zapier Cons
- Per-task pricing gets expensive for multi-step workflows
- Limited branching with Paths, no true visual canvas
- Basic error handling, no per-step error routes
- Looping is less flexible than Make's iterators
- Limited persistent state across runs
- Free plan is restrictive, only 100 tasks and 5 Zaps
Make Pros
- Visual canvas with branching, loops, and parallel paths
- Per-operation pricing is cheaper for multi-step workflows
- Advanced error handling with per-module routes
- Powerful HTTP module for any REST API
- Data Stores for persistent state across runs
- Iterators and aggregators for batch processing
- Generous free plan with 1,000 operations
Make Cons
- Smaller app library at 1,800+ integrations
- Steeper learning curve for beginners
- Canvas can feel overwhelming for simple workflows
- Less brand familiarity than Zapier
- Some niche apps require custom HTTP setup
- Mobile app is monitor-only, no builder
Who Should Use Which?
Beginners and Non-technical Users
If you are new to automation and want to connect two or three apps without learning a visual canvas, Zapier is the better starting point. Its linear builder walks you through each step, the interface is clean, and the large app library means you will likely find your tools without custom API work. Zapier's onboarding is friendlier, and most users can build a working Zap in under 15 minutes.
Teams with Complex Multi-Step Workflows
If your workflows involve branching, loops, per-item processing, or conditional error handling, Make is the better choice. Its visual canvas makes complex logic visible and editable, and the per-operation pricing means adding steps does not multiply costs the way Zapier's per-task model does. Operations teams, marketing teams, and ops engineers running 10-step-plus workflows consistently prefer Make.
Cost-sensitive Teams at Scale
If you run high-volume workflows and care about cost, Make is almost always cheaper. A 5-step workflow run 5,000 times per month can cost several hundred dollars on Zapier but under $50 on Make. For startups, small businesses, and any team where automation volume is growing, Make's per-operation pricing scales more gracefully than Zapier's per-task pricing.
Users of Niche or Less Popular Apps
If you rely on a niche CRM, a regional email tool, or a custom internal app, Zapier's 7,000+ app library is more likely to support it natively. Make's 1,800+ library covers all major tools, but for less popular apps you may need to build a custom HTTP integration, which requires some technical comfort. If native point-and-click integration matters, Zapier is the safer bet.
Developers and Technical Builders
If you are comfortable reading API docs and want the most powerful no-code automation platform, Make is the better fit. Its HTTP module, code modules, Data Stores, and fine-grained control over execution give developers a toolkit that feels close to visual programming. Zapier's Developer Platform is friendly for building custom apps, but for building complex workflows themselves, Make is more expressive.
Real-World Use Cases
Connecting a lead form to a CRM and Slack
A marketing team wants every new lead from Typeform to be added to HubSpot, then posted in a Slack channel for the sales team. Zapier handles this in a 3-step Zap that takes 10 minutes to build, with native integrations for Typeform, HubSpot, and Slack that require no API knowledge. Make can do the same in a 3-module scenario, but the setup takes slightly longer because of the visual canvas. For this simple use case, Zapier is faster to ship.
Syncing inventory across Shopify, Airtable, and QuickBooks
An e-commerce team needs inventory changes in Shopify to update Airtable, adjust QuickBooks inventory, and send a low-stock alert if quantity drops below a threshold. The workflow has branching (alert only if low), multiple destinations, and conditional logic. Make's visual canvas makes the branching visible and lets you attach an error handler to the QuickBooks module so a failed sync retries instead of breaking the run. Zapier can do this with Paths, but the logic is harder to see and error handling is more limited. Make is the better fit.
Batch-processing 1,000 rows from a Google Sheet
A data team has 1,000 rows in Google Sheets that each need to trigger a multi-step workflow: enrich the row with Clearbit, post to a webhook, and update the row with the result. In Make, an iterator loops over the rows, runs the modules for each, and the whole scenario counts as a predictable number of operations. In Zapier, each row is a separate Zap run consuming multiple tasks, which can exhaust a plan quickly. For batch processing, Make is significantly cheaper and easier to manage.
Connecting a niche HR tool to Slack notifications
A people ops team uses a niche HR platform that is in Zapier's directory but not in Make's. They want new hire events to post in a Slack channel and add a row to a Google Sheet. Zapier supports the HR tool natively, so the Zap is built in minutes with no code. In Make, the team would need to use the HTTP module to call the HR tool's API, which requires reading API docs and configuring authentication. For niche app connections, Zapier's library saves time.
Final Verdict
Best overall for simple app connections and large app library: Zapier. Zapier's 7,000+ app directory, friendly linear builder, and strong onboarding make it the better choice for beginners, simple two- or three-step automations, and teams that rely on niche apps. At $19.99 per month for the Starter plan, it is competitive for low-volume use, though costs climb quickly as you add steps and runs.
Best overall for complex workflows and cost at scale: Make. Make's visual canvas, per-operation pricing, advanced error handling, and rich logic tools make it the better choice for multi-step workflows, batch processing, and cost-sensitive high-volume automation. At $9 per month for the Core plan with 8,000 operations, Make offers more value than Zapier for any workflow with more than a few steps.
Best for developers and technical builders: Make. Make's HTTP module, code modules, Data Stores, and fine-grained control over execution give developers a toolkit that feels close to visual programming. For teams that want to build complex, reliable, stateful workflows without writing code, Make is the more expressive platform.
Recommended combo: Zapier for simple app-to-app connections where native integrations matter, and Make for complex internal workflows where logic and cost matter. The two platforms can coexist, connected through webhooks or a shared app like Airtable. Total cost can be under $30 per month for small teams and covers nearly every automation use case without forcing a single-tool compromise.
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FAQ
Is Zapier easier to use than Make?
Zapier is easier for beginners and simple two- or three-step automations. Its linear Zap builder walks you through trigger and actions step by step, and the interface is clean and unintimidating. Make has a steeper learning curve because of its visual canvas and richer logic options, but once you understand the basics, Make becomes faster to build in for complex workflows with branching, filtering, and error routes.
Which is cheaper, Zapier or Make?
Make is cheaper for most workloads. Make charges per operation, where one operation can include multiple modules in a single scenario, so a 10-module scenario counts as one operation. Zapier charges per task, and each step in a Zap counts as a separate task. For equivalent multi-step workflows, Make often costs 30 to 60 percent less than Zapier at scale. Zapier's entry plans are cheaper, but costs climb quickly as you add steps.
Which platform has more app integrations?
Zapier has more app integrations, with over 7,000 apps in its directory compared to around 1,800 apps for Make. Zapier's larger library means it is more likely to support niche or less popular tools out of the box. Make still covers all major apps and offers a powerful HTTP module and universal connector that can integrate any app with an API, but for native point-and-click integrations Zapier leads on breadth.
Can I migrate from Zapier to Make?
Yes, you can migrate from Zapier to Make, but there is no one-click tool. You will need to rebuild each Zap as a Make scenario, mapping triggers and actions to the equivalent modules. Most simple Zaps take 10 to 20 minutes to recreate in Make, while complex multi-step Zaps may take longer because Make's richer logic options can change how you structure the workflow. Make's support team and community offer migration guides for common patterns.
Which is better for complex multi-step workflows?
Make is better for complex multi-step workflows. Its visual canvas supports branching, parallel paths, iterators, routers, error-handling routes, and variables that persist across the scenario. Zapier supports multi-step Zaps and paths, but logic is more linear and error handling is more limited. For workflows with conditional branches, loops, or per-item processing, Make's visual flow is clearer and more powerful than Zapier's sequential model.
Can I use Zapier and Make together?
Yes, and many teams do. A common setup is to use Zapier for simple app-to-app connections where breadth of integrations matters, and Make for complex internal workflows where logic and cost matter. You can connect the two through webhooks or via a shared app like Airtable or Google Sheets acting as a queue. Running both gives you Zapier's app library and Make's power without forcing a single-tool compromise.