Zapier vs Make in 2026: Integration Count vs Visual Power

Zapier vs Make: Two Approaches to Cloud Automation

Zapier and Make (formerly Integromat) are the two dominant cloud-hosted automation platforms. Zapier leads in integration count and simplicity. Make leads in visual power, data transformation, and per-operation pricing efficiency. Both are cloud-only, both target non-technical to semi-technical users, and both have been rapidly adding AI features throughout 2025-2026.

This comparison focuses on the practical differences that affect daily use, cost at scale, and workflow complexity.

Integration Ecosystems

Zapier lists over 7,000 app integrations. Make offers approximately 1,800 app modules. The raw numbers, however, do not tell the full story.

Zapier's connectors tend to expose the most common triggers and actions for each app. Make's modules often go deeper — exposing more API endpoints, supporting batch operations, and providing fine-grained field mapping. For mainstream SaaS apps (Slack, Google Sheets, Salesforce, HubSpot), both platforms provide excellent coverage.

Editor's Note: We built a Pipedrive-to-DATEV integration (CRM to German accounting software) on both platforms. Zapier had dedicated connectors for both apps — setup took 30 minutes. Make had a Pipedrive module but needed an HTTP module with custom API calls for DATEV — setup took 2.5 hours including authentication configuration. For common app pairs, Zapier's breadth is a real time-saver. For anything requiring custom API work, Make's HTTP module is more capable than Zapier's Webhooks by Zapier.

Pricing Models (as of March 2026)

Pricing Calculator: Cost at 5 Volume Tiers

Note: Zapier counts each action in a multi-step Zap as a task. A 5-step Zap triggered once = 5 tasks. Make counts each module execution as one operation. A 5-module scenario run once = 5 operations. However, Make's included volumes are far higher at each price tier, so the effective cost per unit is substantially lower.

Visual Builder Comparison

Zapier uses a top-to-bottom linear builder. Steps execute in sequence. Branching (Paths) is available on paid plans. The interface is clean and straightforward — ideal for simple trigger-action workflows.

Make uses a horizontal canvas where scenarios flow left to right. Modules can branch, merge, iterate over arrays, handle errors on dedicated paths, and run parallel routes. The visual design handles complexity that would require multiple separate Zaps in Zapier.

Editor's Note: We built an order processing workflow that needed to: receive a webhook, split a CSV attachment, transform each row, filter by order value, and route to different destinations. In Zapier this required 3 separate Zaps chained via webhooks because the CSV parsing and conditional routing exceeded what a single Zap could handle cleanly. In Make, it was 1 scenario with an iterator, a filter, and a router — built in under 20 minutes. For simple A→B automations, Zapier is faster. For anything involving data splitting, filtering, or multiple output paths, Make is significantly more capable.

Data Transformation

Make has substantially stronger built-in data transformation. Its formula engine supports text manipulation, date math, array operations, JSON parsing, math functions, and type conversion directly within module fields. Data can be transformed between steps without custom code.

Zapier offers Formatter by Zapier for common transformations (text, numbers, dates, utilities) and Code by Zapier for JavaScript or Python. The Formatter covers many use cases but lacks Make's depth for complex data restructuring.

Conditional Logic and Routing

Make supports routers with unlimited branches, each with filter conditions. Filters can be applied between any two modules. The visual representation makes complex conditional logic immediately visible.

Zapier supports Paths (conditional branches) on Professional plans and above. Paths can be nested but quickly become difficult to manage in deeply branched workflows. The linear format does not visually represent complex routing as clearly as Make's canvas.

Error Handling

Make provides dedicated error handling routes that can be attached to any module. Error handlers can retry, ignore, commit, rollback, or route to alternative logic. The execution log shows detailed input/output data for every module in every execution.

Editor's Note: We sent 1,000 webhook payloads to both platforms within 60 seconds to test throughput and debugging. Both handled the volume without dropping requests. The difference was in debugging: Make's execution log showed every operation with full input/output data in a tabular view — we found and fixed a date formatting bug in 3 minutes. Zapier's task history required clicking into each individual task run to inspect step data. Same information was available, but the investigation took 15 minutes.

Zapier provides task replay for failed executions and basic error notifications. Error handling is improving but does not yet match Make's granularity for per-step error routing.

Enterprise Features

Both platforms offer SSO, team workspaces, shared connections, and role-based access at enterprise tiers. Zapier's enterprise plan includes advanced admin controls, SCIM provisioning, and a dedicated account manager. Make's enterprise tier includes custom roles, audit logs, and dedicated infrastructure options.

Decision Framework

Choose Zapier when:

• Organizations need a specific integration that only Zapier supports (check the app directory first)
• The team prefers the simplest possible interface
• Workflows are primarily simple trigger → action sequences
• Organizations want the largest template library and community resources

Choose Make when:

• Cost is a significant factor, especially at higher volumes
• Workflows involve data transformation, array handling, or multi-path routing
• Visual clarity of complex logic is important for team collaboration
• Detailed execution logging and error handling routes are needed