What are the key differences between Zapier and Make?
Quick Answer: Zapier is easier to use with 7,000+ 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 time a step in the workflow runs, it counts as a task. The free tier includes 100 tasks per month with single-step workflows only. Paid plans start at $19.99/month for 750 tasks.
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 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 7,000+ 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.
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Workflow AutomationRelated Rankings
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.
Best No-Code Automation Platforms in 2026
A ranked list of no-code automation platforms in 2026. The ranking covers visual workflow builders that allow non-engineering teams to connect SaaS apps, route data, and add conditional logic without writing code. Entries cover proprietary cloud platforms (Zapier, Make, Pipedream, IFTTT) and open-source visual builders (n8n, Activepieces). Scoring reflects integration breadth, pricing accessibility, visual editor ease, reliability and error handling, and self-hosting availability.
Dive Deeper
Migrating 23 Make Scenarios to Self-Hosted n8n: a 3-Week Breakdown
Anonymized retrospective of a DTC ecommerce brand migrating 23 Make scenarios to a self-hosted n8n instance over three weeks. Tooling cost dropped from $348/month on Make Teams to roughly $12/month on a Hetzner VPS, but credential and webhook recreation consumed about 40% of total project time.
Trigger.dev vs Inngest 2026: OSS Durable Runners Compared
Trigger.dev (2022, London) is a fully Apache 2.0 durable runner with task-based authoring, machine-size selection, and first-class self-host. Inngest (2021, San Francisco) is a developer-first event-driven step platform with an open-source dev server and a managed cloud (50K step runs/month free, $20/month Hobby). This 2026 comparison covers license, programming model, pricing, observability, and self-host options.
Inngest vs Temporal 2026: Durable Functions vs Durable Workflows
Inngest (2021, San Francisco) is a developer-first durable functions platform with TypeScript and Python SDKs, 50,000 step runs/month free, and Hobby pricing from $20/month. Temporal (2019) is the heavyweight durable workflow engine with seven-language SDK coverage, Cassandra-backed scale, and Cloud pricing from roughly $200/month at low volume or $2.5-4.5K/month self-host. This 2026 comparison covers programming model, pricing, scale ceiling, and operational footprint.