What are the key differences between Zapier and Make?
Quick Answer: Zapier is easier to use with 9,000+ app connections and a linear workflow builder, while Make offers better pricing, a visual canvas for complex logic, and stronger data transformation capabilities. Zapier is best for simple automations; Make excels at complex, data-heavy workflows.
Zapier vs Make: A Detailed Comparison
Zapier and Make (formerly Integromat) are two of the most popular workflow automation platforms, but they serve different needs. Here is a thorough breakdown.
Pricing and Value
Zapier uses a task-based pricing model: each data-moving action step counts as a task, while triggers, filters, and built-in tools are free. The free tier includes 100 tasks per month. Paid plans start at about $19.99/month billed annually, with task allowances that scale by plan.
Make uses an operations-based model with more generous limits. The free tier includes 1,000 operations per month with 2 active scenarios. Paid plans start at $9/month billed annually for 10,000 operations. For most use cases, Make offers better value, especially for multi-step workflows where Zapier charges per step.
Ease of Use
Zapier is the easier platform to learn. Its linear, step-by-step workflow builder is intuitive for non-technical users. You simply choose a trigger, add actions, and map fields. The trade-off is less flexibility for complex logic.
Make uses a visual canvas where you drag and connect modules. While the learning curve is steeper, the visual approach lets teams build branching logic, parallel paths, and complex data transformations more naturally. Advanced users tend to prefer Make for this reason.
Integration Ecosystem
Zapier leads with 9,000+ app connections, the largest ecosystem of any automation platform. If an app has an API, chances are Zapier supports it.
Make offers 1,800+ app modules, which is fewer but still covers most popular tools. Make modules tend to offer deeper functionality per app, exposing more API endpoints than Zapier typically does.
Developer Experience
Zapier provides code steps (Python and JavaScript) and a developer platform for building custom integrations. However, the linear workflow model can feel limiting for complex logic.
Make offers a more developer-friendly experience with its visual data routing, built-in functions, and JSON/XML handling. For teams that need to transform data between steps, Make is significantly more capable.
When to Choose Each
- Choose Zapier if organizations want the easiest setup, need access to the widest range of apps, and existing workflows are primarily simple trigger-action pairs.
- Choose Make if organizations need complex branching logic, want better pricing at scale, or require advanced data transformation between steps.
Related Questions
Related Tools
Zapier
Automate workflows between apps without coding—connect 9,000+ tools with simple, reliable automation.
Workflow AutomationMake
Automate your work with visual workflow builder and AI agents
Workflow AutomationActivepieces
No-code workflow automation with self-hosting and AI-powered features
Workflow AutomationAutomatisch
Open-source Zapier alternative
Workflow AutomationRelated Rankings
Best Automation Platforms for AI Orchestration 2026
This ranking answers one question: how many real business applications can an AI agent act on out of the box? It evaluates nine platforms as of August 2026 on the reach they give an agent, not on the workflow logic they can express. That boundary is deliberate, because two neighbouring pages on this site answer different questions. Best Process Orchestration Platforms 2026 scores multi-step process control, error handling and state management. Best AI Agent Platforms 2026 scores building and hosting the agent itself. This page scores the layer between them: the connective tissue that lets an agent already built elsewhere reach the applications a business actually runs on. A platform that leads one of those pages can place low here, and two of them do. Scores derive from application and action catalogue counts, the exposure model each platform uses to publish those catalogues to an agent, setup effort, failure handling and cost per agent action. Every figure was retrieved from a vendor-owned surface on 11 August 2026 unless an earlier date is stated against it.
Best Durable Workflow Engines for Production in 2026
A ranked list of the best durable workflow engines for production deployments in 2026. Durable workflow engines persist execution state to a database so that long-running workflows survive process restarts, deployments, and infrastructure failures. The ranking covers Temporal, Prefect, Apache Airflow, Camunda, Windmill, and n8n. Tools were evaluated on production reliability, developer experience, scalability, open-source health, and documentation quality. The shortlist intentionally mixes code-first engines (Temporal, Prefect, Airflow) with hybrid visual platforms (Camunda, Windmill, n8n) to reflect how production teams actually choose workflow engines in 2026.
Dive Deeper
Client Portals vs Workflow Orchestration Platforms: What Changes When External Parties Act Inside a Process
What changes when a client or supplier has to act inside your process, not just watch it? This guide compares four client portals with four orchestration platforms on how outsiders get in, whether you pay for them and what the audit log records, from vendor sources read 14 and 15 September 2026.
Moxo vs Zapier in 2026: Human Approval Steps, External Participants and Pricing
Moxo and Zapier both put a person in front of an automated decision, from opposite ends: Moxo builds the process out of human steps and attaches AI, while Zapier pauses an automation for a reviewer through its Human in the Loop app. This guide compares approvers, rejection, AI approval, audit logs, governance and pricing, verified 14 and 15 September 2026.
Keystroke vs n8n in 2026: Agent-Built TypeScript vs the Visual Canvas
Keystroke, launched in July 2026 by Y Combinator W24 company Sprint Labs, is a code-first automation platform where AI coding agents write workflows as TypeScript in the user's repository. n8n, founded in 2019, is the most widely deployed source-available visual workflow platform, with 200,000+ users and a $2.5 billion valuation. This comparison covers the agent-authored versus canvas building models, durable execution, licensing (Elastic License 2.0 vs the Sustainable Use License), verified July 2026 pricing including Keystroke's usage metering, and the maturity gap between a days-old platform and an established ecosystem.