- dataSmarts
- Posts
- Make vs Zapier: A Comprehensive Comparison of Leading Automation Platforms
Make vs Zapier: A Comprehensive Comparison of Leading Automation Platforms
The insights you need to decide

In today's fast-paced digital landscape, automation has become a vital tool for businesses of all sizes. By streamlining repetitive tasks and integrating disparate applications, automation platforms enable organizations to save time, minimize errors, and concentrate on higher-value activities. Two of the most popular automation platforms on the market are Make (formerly Integromat) and Zapier. While both serve the fundamental purpose of connecting apps and automating workflows, they differ significantly in their approach, capabilities, and ideal use cases.
This comprehensive comparison will explore the key differences between Make and Zapier, examining their features, pricing models, user experiences, and ideal use cases to help you determine which platform might better suit your specific automation needs.
Understanding the Basics: Make vs Zapier
What is Make?
Make, previously known as Integromat until its rebranding in 2021, is a visual automation platform that allows users to design, build, and automate workflows with a no-code interface. The platform is known for its distinctive circular, flowchart-style visualization of workflows, which it calls "scenarios." Make emphasizes flexibility, data transformation capabilities, and visual representation of data flow between connected applications.
What is Zapier?
Zapier, founded in 2011, is one of the pioneers in the automation space. It provides a platform for connecting apps and automating workflows through what it calls "Zaps." Zapier uses a more linear, straightforward approach to building automations, focusing on simplicity and ease of use. The platform is known for its extensive app ecosystem, user-friendly interface, and accessibility to non-technical users.
Core Platform Architecture: Visual Design Philosophy
The most immediately noticeable difference between Make and Zapier is their visual approach to workflow design.
Make's Circular Workflow Design
Make employs a unique circular, flowchart-style interface that provides a visual representation of the entire automation workflow. This design philosophy:
•Shows the complete automation flow in a single view
•Represents different apps and functions as color-coded modules
•Visualizes data flow between modules in real-time
•Allows for complex branching and routing with clear visual representation
•Provides spatial organization to represent relationships between steps
This visual approach makes Make particularly appealing to users who think in terms of process flows and appreciate seeing how data moves through their automation scenarios.
Zapier's Linear Workflow Design
In contrast, Zapier uses a straightforward, top-to-bottom linear approach to represent workflows:
•Organizes Zaps as a sequence of trigger and action steps in a vertical list
•Focuses on text-based configuration rather than visual data mapping
•Emphasizes the apps being connected rather than the data flow
•Employs a cleaner, more minimalist interface with less visual complexity
•Uses a wizard-like approach to guide users through workflow creation
Zapier's linear design makes it more approachable for beginners and those who prefer a straightforward, step-by-step process for creating automations.
Integration Capabilities: Connecting Your Apps
Both platforms excel at connecting applications, but they differ in their approach and capabilities.
Make's Integration Approach
Make offers approximately 2,000+ app integrations, slightly fewer than Zapier but growing rapidly. Its integration strengths include:
•Strong support for direct API connections, allowing integration with virtually any service with an API
•Robust webhook functionality for custom integrations
•Native support for various data formats and protocols (HTTP/SOAP/JSON/XML)
•The ability for users to create their own custom apps and share them with others
•Deeper integration with fewer apps, often with more actions per app
Zapier's Integration Ecosystem
Zapier boasts an impressive 5,000+ app integrations, making it the leader in terms of sheer number of connected applications. Its integration approach includes:
•The largest ecosystem of pre-built app connections in the industry
•A well-established platform for developers to build integrations
•Webhook support, though with less flexibility than Make
•Reserving some popular integrations as "Premium Apps" for paid plans only
•Broader but sometimes shallower integration with more apps
For users who need to connect niche or specialized applications, Zapier's broader ecosystem may be advantageous. However, for those needing deeper integration with common business applications or custom API connections, Make often provides more functionality.
Data Handling and Transformation: Processing Your Information
One of the most significant differentiators between the platforms is how they handle and transform data between applications.
Make's Data Transformation Capabilities
Make excels at complex data manipulation with:
•Exceptional data transformation capabilities with visual mapping
•A rich library of built-in data manipulation functions
•Native support for parsing complex data structures (JSON/XML)
•Strong support for working with arrays and iterative operations
•Sophisticated error handling capabilities
•Custom variables (available on Pro plan and above)
These capabilities make Make particularly well-suited for scenarios involving complex data transformations, such as reformatting information between systems with different data requirements.
Zapier's Data Handling Approach
Zapier takes a simpler approach to data handling:
•Basic data mapping with less visual representation
•Requiring a separate Formatter app for many data transformations
•Supporting custom code (JavaScript/Python) for complex transformations
•Offering conditional logic through its Paths feature (on paid plans)
•Providing less robust support for complex array operations
•Basic error handling with notifications
While Zapier's approach is sufficient for many common automation scenarios, it may require more workarounds or custom code for complex data manipulation tasks.
Pricing Models: Understanding the Costs
Both Make and Zapier use consumption-based pricing models, but they differ significantly in how they structure their plans and count usage.
Make's Operations-Based Pricing
Make uses an operations-based pricing model:
•Free Plan: 1,000 operations/month, unlimited scenarios, 15-minute minimum interval
•Core Plan: $9/month (billed annually), 10,000 operations/month, unlimited scenarios
•Pro Plan: $16/month (billed annually), 10,000 operations/month with additional features
•Teams Plan: $29/month per user (billed annually), shared resources
•Enterprise Plan: Custom pricing with enhanced security and support
Make counts each action within a scenario as an operation, and unused operations expire after 12 months in the annual billing cycle.
Zapier's Task-Based Pricing
Zapier employs a task-based pricing model:
•Free Plan: 100 tasks/month, unlimited Zaps, two-step Zaps only, 15-minute update time
•Professional Plan: Starting at $19.99/month (billed annually) for 750 tasks/month
•Team Plan: $69/month (billed annually) for 2,000 tasks/month, includes 25 users
•Enterprise Plan: Custom pricing with advanced features and support
Zapier counts each successful action completion as a task, and unused tasks do not roll over between billing periods.
Pricing Comparison for Different Usage Scenarios
•Low-Volume Users: Make's free plan (1,000 operations) is more generous than Zapier's (100 tasks)
•Medium-Volume Users: Make's Core plan (9/monthfor10,000operations)offersbettervaluethanZapier′sProfessionalplan(9/month for 10,000 operations) offers better value than Zapier's Professional plan (9/monthfor10,000operations)offersbettervaluethanZapier′sProfessionalplan(19.99 for 750 tasks)
•High-Volume Users: Make's pricing scales more favorably for high-volume automation needs
•Teams: Zapier's Team plan includes 25 users at a flat rate, potentially offering better value for larger teams with moderate automation needs
User Experience and Interface: Ease of Use vs. Power
The user experience of an automation platform significantly impacts adoption, efficiency, and satisfaction.
Make's User Experience
Make offers a powerful but sometimes complex user experience:
•Learning Curve: Steeper initial learning curve due to the visual complexity and power
•Workflow Building: Exceptional control over data mapping with immediate visual feedback
•Data Handling: Intuitive visual representation of data mapping between steps
•Mobile Experience: Limited mobile app with basic functionality
•Monitoring: Detailed visual history of all executions with real-time monitoring
•Collaboration: Team workspaces with granular permission controls
Make appeals to users who value power and flexibility, even if it comes with a steeper learning curve.
Zapier's User Experience
Zapier prioritizes simplicity and accessibility:
•Learning Curve: More intuitive for beginners with a straightforward approach
•Workflow Building: Guided, wizard-like approach to creating workflows
•Data Handling: Simplified point-and-click selection of data fields
•Mobile Experience: No dedicated mobile app, but responsive web interface
•Monitoring: Straightforward text logs of execution details
•Collaboration: Shared access for teams with folder organization
Zapier is designed to be approachable for users of all technical levels, making it easier to get started but potentially less powerful for complex scenarios.
Ideal Use Cases: When to Choose Each Platform
Based on their respective strengths and limitations, each platform excels in different scenarios.
When to Choose Make
Make is the superior choice for:
Complex Data Processing Workflows: When dealing with complex data transformations, arrays, and structured data formats
High-Volume Automation Needs: Organizations with high-volume requirements seeking better value
Advanced Technical Users and Developers: Teams that value flexibility and power over simplicity
Visual Thinkers and Process Designers: Users who prefer flowchart-style interfaces and visual process mapping
Budget-Conscious Organizations with Sophisticated Needs: Getting advanced features at a lower price point
Scenarios Requiring Precise Scheduling Control: Workflows needing fine-grained timing control
Example Use Case: A marketing agency collecting survey data that needs to be transformed, filtered, and distributed to multiple systems with different data format requirements would benefit from Make's superior data handling capabilities.
When to Choose Zapier
Zapier is the better choice for:
Beginners and Non-Technical Users: Those new to automation who prioritize ease of use
Basic to Moderate Automation Needs: Straightforward, linear workflows between popular apps
Teams Requiring Broad App Support: Users needing the widest possible range of app integrations
Organizations Prioritizing Simplicity and Standardization: Companies valuing ease of adoption across teams
Collaborative Teams with Many Users: Larger teams with varying levels of technical expertise
Users Needing Additional Tools: Those who want access to Tables, Interfaces, or Chatbots
Example Use Case: A small marketing team with limited technical expertise needing to connect their email marketing platform with their CRM system would find Zapier's intuitive interface and guided setup process ideal.
Industry-Specific Recommendations
Different industries may find one platform more suitable than the other based on their typical requirements:
Industries Better Suited for Make
•E-commerce: Superior handling of product data, inventory management, and order processing at scale
•Financial services: Better suited for complex data transformations and compliance requirements
•Software development: More developer-friendly for technical teams and custom integrations
•Data-intensive businesses: Better performance for organizations processing large volumes of data
Industries Better Suited for Zapier
•Small businesses: Easier adoption and implementation for businesses with limited IT resources
•Marketing agencies: Broader support for marketing tools and simpler setup for common marketing workflows
•Educational institutions: More approachable for staff with varying technical abilities
•Non-profits: Better value for organizations with many users but moderate automation volume
Making Your Decision: Key Considerations
When deciding between Make and Zapier, consider these key factors:
Technical Expertise: Assess the technical capabilities of the team that will be building and maintaining automations
Complexity of Workflows: Evaluate whether your automation needs are straightforward or complex
Data Transformation Requirements: Consider the complexity of data manipulation needed
Volume of Operations: Estimate how many operations or tasks you'll need monthly
Number of Users: Determine how many people will need access to create or edit workflows
Budget Constraints: Compare the total cost of ownership based on your specific usage patterns
App Ecosystem Requirements: Check whether both platforms support all the applications you need to connect
Conclusion: There's No One-Size-Fits-All Solution
Both Make and Zapier are excellent automation platforms with distinct strengths and approaches. The "better" platform depends entirely on your specific needs, technical capabilities, and preferences.
Make excels at complex, data-intensive automations with its visual workflow builder, powerful data transformation capabilities, and favorable pricing for high-volume needs. It appeals to more technical users and organizations with sophisticated automation requirements.
Zapier shines with its ease of use, extensive app ecosystem, and accessibility to users of all technical levels. It's ideal for teams seeking simplicity, standardization, and quick implementation of common business process automations.
Many organizations even find value in using both platforms for different use cases, leveraging the strengths of each where they matter most. Whichever platform you choose, embracing automation will undoubtedly help your organization save time, reduce errors, and focus on what matters most—growing your business and serving your customers.
By understanding the key differences outlined in this comparison, you're now better equipped to make an informed decision about which automation platform will best serve your organization's unique needs.