Make

1. Introduction: Zapier's Most Dangerous Competitor

I'll be honest. I didn't expect to be this impressed. After years of defaulting to Zapier for every automation need, I started testing Make seven months ago as a cost-saving experiment. What I found was a platform that doesn't just match Zapier, it surpasses it in almost every technical dimension.

Over the past seven months, I've built over 200 scenarios across three organizations: a digital marketing agency with 12 clients, an e-commerce brand processing 500+ orders daily, and my own SaaS startup. We've executed over 500,000 operations, hit every edge case imaginable, and pushed the platform to its limits.

Make started as Integromat back in 2012, built by a Czech team that prioritized power over simplicity. The 2022 rebrand to Make brought a refreshed interface, but the engineering DNA remained the same. This is an automation tool built by developers, for people who think in workflows.

My testing framework evaluates automation platforms across eight dimensions: visual builder quality, integration depth, error handling, pricing value, scalability, learning curve, support quality, and real-world reliability. Make scored exceptionally well in most categories, with a few notable exceptions I'll cover in detail.

What surprised me most wasn't any single feature, it was the compound effect. Make's visual builder, combined with its data transformation capabilities and pricing model, creates a platform where you can build automations that would cost 5-10x more on Zapier. That's not marketing fluff. I have the receipts.

Let me walk you through everything I discovered.

2. What is Make? Understanding the Platform

Make is a visual automation platform that connects apps and services through what it calls "scenarios"—flowchart-style workflows where you can see every step, branch, and data transformation happening in real time. Founded in 2012 as Integromat by Ondrej Gazda and the team at Celonis in Prague, Czech Republic, the platform spent years as the automation world's best-kept secret before rebranding to Make in 2022.

The company has raised over $82 million in funding and serves more than 500,000 organizations globally. While those numbers are smaller than Zapier's, Make has built a fiercely loyal user base, particularly among agencies, developers, and power users who've outgrown simpler tools.

What fundamentally separates Make from competitors is its visual-first approach. Where Zapier presents workflows as linear lists of steps, Make renders them as visual flowcharts. You can see data flowing between nodes, create branches and merges, add routers for conditional logic, and handle errors at every connection point. It's the difference between reading a recipe and watching someone cook.

The platform connects to over 1,500 apps through pre-built modules, and its HTTP/webhook capabilities mean you can connect to virtually any API. Each module represents a specific action within an app, not just "create a record" but granular operations like "search records with filters," "update specific fields," or "watch for changes matching criteria."

Make's architecture uses a concept called "operations" instead of Zapier's "tasks." An operation is counted each time a module in your scenario processes a bundle of data. This distinction matters enormously for pricing, which I'll cover in detail below.

3. Make Pricing & Plans: Where It Gets Interesting

Make's pricing is where the platform first caught my attention, and it remains one of its strongest selling points. Understanding the pricing requires grasping one concept: operations. Every time a module in your scenario processes data, that's one operation. A five-module scenario processing one record uses five operations.

3.1 Free Plan - Genuinely Capable

Make's free plan is more generous than you'd expect. You get 1,000 operations per month, two active scenarios, and access to all apps and modules. There's no feature gating, you get the same visual builder, error handling, and data transformation tools as paid users.

3.2 Core Plan ($9/month) - The Value Champion

At $9/month (billed annually) or $10.59 monthly, the Core plan is where Make's value proposition becomes undeniable. For less than half the cost of Zapier's cheapest paid plan, you get significantly more capability.

What You Still Don't Get: Custom variables, full-text log search, priority execution, and team collaboration features require higher tiers.

3.3 Pro Plan ($16/month) - Power User Territory

The Pro plan at $16/month (annual) or $18.82 monthly adds features that power users and growing teams will appreciate.

Key Upgrades: 10,000 operations (same base, but custom pricing for higher volumes), custom variables for reusable values across scenarios, full-text execution log search, priority scenario execution during high-load periods, and the ability to create custom apps using Make's SDK.

3.4 Teams Plan ($29/month) - Collaboration First

At $29/month per user (annual), the Teams plan adds multi-user collaboration, team roles, shared scenario ownership, and advanced permissions.

Key Upgrades: Everything in Pro, plus team workspaces, granular permissions, shared connections, advanced user management, and 10,000 operations per user.

3.5 Enterprise Plan - Custom Everything

Enterprise pricing is custom and includes dedicated infrastructure, SLA guarantees, SAML SSO, custom data residency, priority support with dedicated CSM, and unlimited operations packages.

Pricing Comparison Table

4. Key Features Deep Dive

4.1 Visual Scenario Builder - Best in Class

Make's visual builder is, without exaggeration, the best automation builder I've used. Every scenario is rendered as a flowchart where you can see data flowing between modules in real time. You drag modules onto the canvas, connect them with lines, and watch data pass through during test runs.

What It Does: Lets you visually design, test, and debug automation workflows using a drag-and-drop canvas. Modules represent app actions, connections show data flow, and you can branch, merge, filter, and transform data at every step.

How It Works: Click the "+" icon to add a module, choose your app and action, configure the fields using a mix of static values and dynamic data from previous modules, then connect it to the next step. The magic is in the visual feedback, you can run a scenario and watch each module light up as data passes through it, clicking any module to inspect the exact data it processed.

Real-World Use Case: I built a lead scoring scenario that takes form submissions, enriches the data via an API call, routes leads to different CRM pipelines based on score, sends personalized Slack alerts to the appropriate sales rep, and logs everything to a Google Sheet. On Zapier, this would require multiple Zaps or a complex Paths setup. On Make, it's a single visual flow that took 30 minutes to build.

What's Missing: The canvas can get cluttered with very large scenarios (30+ modules). There's no built-in scenario versioning, you can't roll back to a previous version without cloning scenarios manually.

4.2 Data Transformation - Where Make Truly Shines

What It Does: Make's built-in data transformation functions let you manipulate data between modules without external tools. Parse dates, transform text, perform calculations, restructure JSON, and handle arrays, all within the visual builder.

How It Works: When mapping data between modules, you can apply functions directly in the mapping fields. String functions (lowercase, replace, split), math functions (round, ceil, sum), date functions (parse, format, add days), and array functions (map, filter, get) are all available from a dropdown menu.

Real-World Use Case: Our e-commerce client needed to transform Shopify order data before sending it to their fulfillment system. Make's built-in functions handled currency conversion, address formatting, SKU mapping, and weight calculations, all inline, no code needed. On Zapier, we would have needed Formatter steps (which count as additional tasks) or Code steps.

What's Missing: Complex transformations still require the "Tools" module or custom functions. The function syntax has a learning curve, it's not standard JavaScript, it's Make's own expression language.

4.3 HTTP/Webhook Module - Connect Anything

What It Does: The HTTP module lets you make custom API calls to any service with a REST API, even if Make doesn't have a pre-built integration. Webhooks let external services trigger your scenarios instantly.

How It Works: Configure the HTTP module with a URL, method (GET, POST, PUT, DELETE), headers, query parameters, and body. Make handles authentication (API key, OAuth, basic auth), pagination, and response parsing automatically.

Real-World Use Case: We integrated a niche inventory management system that had no Make module by building custom HTTP calls. Within an hour, we had bidirectional sync between the inventory system and Shopify, something that would have required a developer and a custom integration previously.

What's Missing: OAuth setup for custom HTTP calls can be tricky. Rate limiting is handled but not elegantly, you need to add delay modules manually for APIs with strict limits.

4.4 Error Handling - Production-Grade Reliability

What It Does: Make lets you attach error handlers to any module in your scenario. When something fails, you can retry, ignore, use a fallback value, commit partial results, or route to an entirely different workflow branch.

How It Works: Right-click any module and add an error handler. Choose from Break (stop and retry later), Resume (use a fallback value), Ignore (skip and continue), Commit (save partial results), or Rollback (undo everything). You can chain error handlers for sophisticated failure recovery.

Real-World Use Case: Our CRM sync scenario handles API rate limits gracefully. When the CRM returns a 429 error, the error handler waits 60 seconds and retries. If it fails three times, it routes the data to a "failed records" data store for manual review. Zero data loss, zero manual intervention.

What's Missing: Error notification options are basic, you get email alerts, but setting up Slack or webhook notifications for failures requires additional modules.

4.5 Routers & Filters - Conditional Logic Made Visual

What It Does: Routers split your scenario into multiple branches based on conditions. Each branch can have its own filters, modules, and error handlers. Data flows down the appropriate path based on your rules.

How It Works: Add a Router module, then create branches. Each branch gets a filter with conditions (equals, contains, greater than, regex match, etc.). Data that matches a filter flows down that branch. You can have unlimited branches, and data can flow down multiple branches simultaneously.

Real-World Use Case: Our lead routing scenario uses a router with five branches: enterprise leads go to Salesforce, SMB leads go to HubSpot, partner leads trigger a special onboarding sequence, spam gets filtered out, and duplicates get merged with existing records. One scenario replaces what would be five separate Zapier workflows.

4.6 Data Stores - Built-In Database

What It Does: Data stores are Make's built-in key-value databases. Store, retrieve, update, and delete records directly within your scenarios without external database connections.

How It Works: Create a data store with a defined structure (like a simple database table), then use Data Store modules in your scenarios to add records, search for records, update fields, or delete entries. Data persists between scenario runs.

Real-World Use Case: We use data stores to deduplicate incoming webhook data. Before processing a new lead, we check the data store for existing records with the same email. If found, we update instead of creating duplicates. Simple, effective, and no external database required.

What's Missing: Data stores are limited in capacity (varies by plan) and lack advanced querying capabilities. For anything beyond simple lookups, you'll want an external database.

4.7 Scheduling & Execution - Flexible Timing

What It Does: Control when and how often your scenarios run. Options include fixed intervals (every X minutes), specific times, on-demand via webhooks, or immediate execution triggered by watched modules.

How It Works: Each scenario has an independent schedule. Set it to run every minute (on paid plans), at specific times of day, or only when triggered by a webhook. Watched modules (like "Watch New Emails") poll at your configured interval and process all new items found.

Real-World Use Case: Our daily reporting scenario runs at 6 AM, aggregating data from five sources into a consolidated dashboard. Our lead capture scenarios trigger instantly via webhooks. Our cleanup scenarios run weekly on Sundays. Each operates independently with its own schedule.

5. Make Pros: Why It's Become My Default

Unbeatable Price-to-Power Ratio

This is Make's headline advantage, and it's not even close. At $9/month for the Core plan, you get unlimited scenarios with 10,000 operations. A comparable Zapier setup would cost $49-89/month. For our agency, switching three clients from Zapier to Make saved over $400/month with zero loss in functionality. The math is simple: Make gives you more automation per dollar than any major competitor.

Visual Builder Sets the Standard

Every automation platform should work like Make's scenario builder. Seeing your workflow as a visual flowchart fundamentally changes how you think about automation. Debugging becomes intuitive, you can literally watch data flow through your scenario, inspect values at every step, and identify exactly where things break. I've built scenarios in Make that would have taken 3x longer in Zapier simply because the visual feedback accelerated my problem-solving.

Data Transformation Without External Tools

Make's built-in functions eliminate the need for Formatter steps (Zapier), Code steps, or external transformation services. When I need to parse a date, calculate a value, or restructure JSON data, I do it inline within the module mapping. This saves both time and operations compared to adding dedicated transformation steps.

Error Handling That Actually Works

Production automations fail. APIs go down, data formats change, rate limits get hit. Make's error handling system lets you build resilient workflows that handle failures gracefully instead of silently breaking. The ability to attach different error handlers to different modules means you can build genuinely production-grade automation flows.

HTTP Module Opens Every Door

The HTTP module means Make connects to everything, not just its 1,500 pre-built integrations. Any service with a REST API becomes accessible. This was crucial for our agency, several clients use niche industry tools that no automation platform has pre-built connectors for. Make's HTTP module made those integrations possible without custom development.

Operations Model Rewards Efficiency

Unlike Zapier's task-based model (where multi-step Zaps count multiple tasks), Make's operation model feels more transparent. You can see exactly how many operations each scenario uses per run, optimize your flows to reduce consumption, and predict costs accurately. Smart scenario design directly translates to cost savings.

6. Make Cons: The Honest Downsides

Steeper Learning Curve Than Zapier

Let's not sugarcoat it. Make is harder to learn than Zapier. The visual builder, while powerful, presents more concepts upfront: modules, connections, routers, iterators, aggregators, data stores, error handlers. A non-technical user who could build a Zapier workflow in 10 minutes might need 45 minutes for the equivalent Make scenario. Our agency spent two weeks training team members on Make before they were productive.

Documentation Could Be Better

Make's documentation is functional but not exceptional. Some modules have sparse descriptions, edge cases aren't well-documented, and the function reference can be confusing. I've resorted to community forums and YouTube tutorials more often than I'd like. Zapier's documentation and learning resources are significantly more polished.

Expression Language Has a Learning Curve

Make doesn't use standard JavaScript or Python for its expressions, it has its own syntax. Functions like {{formatDate(1.date; "YYYY-MM-DD")}} work differently than what most developers expect. The expression editor lacks autocomplete and real-time validation, which leads to trial-and-error debugging. This is Make's biggest UX weakness.

Scenario Organization at Scale

When you manage 50+ scenarios (common for agencies), Make's organizational tools feel insufficient. Folders help, but there's no tagging, no search across scenario contents, and no way to create scenario templates for reuse. We've developed naming conventions and external documentation to compensate, but it shouldn't be necessary.

Mobile Experience is Limited

Make's mobile app exists but is essentially a monitoring tool. You can view scenario statuses and execution logs, but building or editing scenarios on mobile is impractical. For a platform that's visual-first, the lack of a capable mobile builder is disappointing. Zapier's mobile experience isn't great either, but Make's is worse.

Webhook Reliability Concerns

We've experienced occasional webhook delivery delays and, rarely, missed webhooks. While Make's own infrastructure is stable, the webhook receiving layer has had brief outages during our testing period. For mission-critical real-time integrations, this required us to implement verification checks and retry mechanisms.

7. Setup & Implementation

The Real Timeline

Getting productive on Make takes longer than Zapier but less time than enterprise tools like Workato or Tray.io. Here's what a realistic implementation looks like for a small to mid-sized team.

Week 1: Foundation & Learning

Sign up, explore the interface, and build your first 2-3 simple scenarios. Make's onboarding walkthrough covers the basics but doesn't go deep enough. Supplement with Make Academy (free courses) and YouTube tutorials. Focus on understanding modules, connections, and basic data mapping. Connect your most-used apps and verify authentication works.

Week 2: Building Core Workflows

Start building the scenarios your business actually needs. Begin with low-risk automations, notification workflows, data logging, simple syncs. Use this week to develop your understanding of routers, filters, and error handlers. Make mistakes here where the stakes are low.

Week 3: Advanced Features & Migration

If migrating from another platform, start recreating your critical workflows in Make. Tackle data transformations, HTTP modules for custom integrations, and data stores. Build error handling into every scenario. Test extensively before disabling old automations.

Week 4: Optimization & Monitoring

Review operation consumption across all scenarios. Optimize inefficient flows (add filters early, reduce unnecessary modules). Set up monitoring and alerting. Document your scenarios for team knowledge sharing.

Migration from Zapier

Migrating from Zapier to Make is the most common transition path. There's no automatic migration tool, you'll rebuild each workflow manually. The good news: most Zapier workflows translate to simpler Make scenarios. Multi-Zap workflows often consolidate into single Make scenarios with routers.

Common Migration Pitfalls:

• Zapier's "Paths" translate to Make's "Routers," but the logic syntax is different
• Zapier's Formatter steps are replaced by inline functions, learn Make's expression syntax first
• Webhook URLs change, so update all sending services simultaneously
• Some Zapier-specific integrations (like Zapier Tables) don't have Make equivalents

8. Make vs Competitors: Detailed Comparisons

Make vs Zapier: The Main Event

Where Zapier Wins:

• Significantly easier for non-technical users
• 8,000+ integrations vs Make's 1,500+
• Better documentation and learning resources
• Stronger brand recognition and community

Where Make Wins:

• 3-5x cheaper for equivalent functionality
• Superior visual builder and debugging
• Built-in data transformation (no Formatter tasks needed)
• Better error handling and conditional logic
• More powerful HTTP/API capabilities

Choose Zapier if: You prioritize simplicity, need specific niche integrations, or want the fastest time to first automation.

Choose Make if: You want more power for less money, enjoy visual workflows, or need complex data transformations and conditional logic.

Pricing Comparison: A business running 20 multi-step workflows processing 5,000 records monthly would pay approximately $89-149/month on Zapier vs $16-29/month on Make.

Make vs n8n: Open Source vs Polished

Where n8n Wins:

• Self-hostable with full data control
• Code nodes for JavaScript/Python
• Free forever if self-hosted
• More developer-friendly API

Where Make Wins:

• More polished, less technical interface
• Better pre-built app modules
• No infrastructure management required
• Superior visual builder and debugging experience

Choose n8n if: You have DevOps capabilities, need self-hosting, or want to write custom code within workflows.

Choose Make if: You want a managed platform with a superior visual experience and don't need self-hosting.

Make vs Power Automate: Independent vs Ecosystem

Where Power Automate Wins:

• Deep Microsoft 365 integration
• RPA (desktop automation) capabilities
• Included with many Microsoft licenses
• Enterprise compliance and security features

Where Make Wins:

• Far better visual builder
• Works equally well with all app ecosystems
• Simpler pricing model
• Faster scenario building and testing

Choose Power Automate if: Your organization is deeply invested in Microsoft 365 and needs desktop RPA.

Choose Make if: You work across multiple app ecosystems or prioritize workflow building speed and visual clarity.

Feature Comparison Table

9. Best Use Cases & Industries

Digital Marketing Agencies - Perfect Fit

Make is tailor-made for agencies. The ability to manage multiple client automations in separate folders, the cost efficiency at scale, and the visual builder that makes client presentations straightforward all contribute to a near-perfect fit. We manage 12 clients' automations on a single Teams plan, spending under $100/month for what would cost $500+ on Zapier.

Key Success Factors: Use folders per client, create standardized scenario templates, and leverage data stores for cross-client analytics.

E-commerce Operations - Perfect Fit

Order processing, inventory sync, customer communication, review collection, and fulfillment workflows all run beautifully on Make. The platform handles high-volume data processing efficiently, and the visual builder makes it easy to design complex order routing logic.

Key Success Factors: Build error handling into every order-related scenario, use data stores for deduplication, and implement webhook-based triggers for real-time processing.

SaaS Companies - Good Fit

Lead routing, customer onboarding, billing webhooks, and product usage tracking all work well on Make. The HTTP module handles custom API integrations with your product, and data stores provide lightweight state management.

Key Success Factors: Use webhooks for real-time triggers, build comprehensive error handling, and document scenarios thoroughly for team handoffs.

Enterprise IT Departments - Mixed Fit

Make can handle enterprise automation needs, but may lack some compliance certifications and enterprise features that platforms like Workato or Tray.io provide. The Teams and Enterprise plans address some of these gaps, but large organizations should evaluate carefully.

Key Success Factors: Start with a pilot team, validate compliance requirements with Make's sales team, and consider the Enterprise plan for SSO and dedicated infrastructure.

10. Who Should NOT Use Make

Complete Automation Beginners

If you've never built an automation workflow before and aren't particularly technical, Make's learning curve will frustrate you. Start with Zapier or IFTTT, learn the fundamentals, and graduate to Make when you need more power. Make is a sports car, incredible when you know how to drive, but not the right choice for learning.

Teams Needing Instant Productivity

If your team needs automations running within hours, not days, Make isn't the right choice. The platform rewards investment in learning but penalizes impatience. Zapier's simpler approach will get you productive faster, even if Make is more capable long-term.

Organizations Requiring Specific Niche Integrations

While Make's HTTP module can connect to anything, some teams rely on pre-built integrations that exist on Zapier but not Make. Before committing, verify that all your critical apps have Make modules, or confirm that your team can build HTTP-based integrations for the gaps.

RPA/Desktop Automation Needs

Make is a cloud workflow tool. If you need desktop automation (clicking buttons, filling forms in legacy software, screen scraping), you need an RPA tool like Power Automate Desktop, UiPath, or Automation Anywhere. Make doesn't do desktop automation at all.

11. Security & Compliance

Make takes security seriously, with infrastructure hosted on AWS and Google Cloud Platform across multiple regions (US, EU, and Asia-Pacific).

Compliance Certifications

Data is encrypted at rest (AES-256) and in transit (TLS 1.2+). Make offers data residency options on Enterprise plans, allowing you to specify whether your data is stored in the US or EU. Role-based access controls are available on Teams and Enterprise plans.

12. Customer Support Reality Check

Make's support quality varies by plan tier. Free and Core users get community forum access and email support with 24-48 hour response times. Pro users get priority email support. Teams and Enterprise users get dedicated support channels with faster SLAs.

Our Experience: We've submitted about 15 support tickets over seven months. Response times averaged 18 hours on the Pro plan. Most responses were helpful and technically accurate, though some complex issues required multiple exchanges. The community forum (community.make.com) is genuinely active and often provides faster answers than official support.

Documentation Quality: Make's documentation covers most features but lacks depth on advanced use cases. The Make Academy offers structured learning paths that are better than the docs for getting started. YouTube tutorials from the community are often more helpful than official resources.

13. Performance & Reliability

Make's infrastructure is generally reliable, with claimed 99.9% uptime. During our seven months of testing, we experienced two brief outages (under 30 minutes each) and several periods of degraded webhook responsiveness.

Scenario Execution Speed: Most scenarios execute within seconds. Complex scenarios with 20+ modules and external API calls can take 30-60 seconds. Very large data processing scenarios (1,000+ records) can take several minutes. Priority execution on Pro plans helps during peak usage periods.

Scalability: Make handles increasing scenario counts and operation volumes well. We scaled from 20 to 200+ scenarios without noticeable performance degradation. The platform's scheduling system distributes load effectively across your scenarios.

Mobile Performance: The mobile app loads quickly and provides real-time scenario status, but as mentioned earlier, it's monitoring-only, not a building tool.

14. Final Verdict & Recommendations

Overall Rating: 4.4/5

Make has fundamentally changed how I approach workflow automation. After seven months of intensive testing, it's replaced Zapier as my default recommendation for anyone with even moderate technical comfort. The visual builder is the best in the industry, the pricing is remarkably fair, and the platform's capabilities rival tools costing 5-10x more.

Not Recommended For: Complete beginners, teams needing instant productivity without training investment, or organizations requiring RPA/desktop automation capabilities.

Making the Decision

Ask yourself these questions:

1. Is your team comfortable learning a new tool for 1-2 weeks?
2. Do you need more than basic trigger-action automations?
3. Are you frustrated by Zapier's pricing at scale?
4. Do you work with data that needs transformation between apps?

If you answered yes to two or more, Make deserves a serious evaluation.

ROI Assessment

Agency Client Migration ($300/month Zapier spend):

• Migrated 45 Zaps to 28 Make scenarios
• New Make cost: $58/month (Teams plan)
• Monthly savings: $242
• ROI: 4.2x

E-commerce Business ($150/month Zapier spend):

• Migrated 22 Zaps to 15 Make scenarios
• New Make cost: $29/month (Pro plan)
• Monthly savings: $121
• ROI: 4.2x

Implementation Advice

1. Start with Make's free plan, build 2-3 scenarios before committing
2. Invest time in Make Academy courses (they're free and genuinely helpful)
3. Join the Make Community forum, it's one of the best automation communities online
4. Don't try to replicate Zapier workflows 1:1; redesign them to take advantage of Make's visual architecture
5. Build error handling from day one, not as an afterthought

The Bottom Line

Make isn't the easiest automation platform, but it might be the best value. For the price of a few coffee shop visits, you get enterprise-grade automation capabilities wrapped in the industry's best visual builder. If you're willing to invest a couple of weeks in learning, the return on that investment is substantial.