Make

For complex automation workflows, Make is more capable and significantly cheaper. Make supports advanced flow logic (routers, iterators, aggregators), has a more powerful HTTP module for any API, and costs 50–70% less at equivalent usage. Zapier has more pre-built templates, a gentler learning curve, and better support for very simple one-step automations. For technical founders and operations teams building complex multi-step workflows, Make is usually the better choice in 2026.

An operation is one action performed by a module in a Make scenario. Every time a module processes data, it consumes one operation. A simple two-module scenario (trigger → action) uses 1 operation per run. A complex scenario with 10 modules uses 10 operations per run. The free plan includes 1,000 operations/month; Pro plans include 10,000–150,000+ depending on tier.

Make connects to 2,000+ apps via native integrations and to any app via the HTTP module (REST API calls) or Webhooks. If an app doesn't have a native Make integration but has a REST API or supports webhooks, you can connect it with Make's HTTP module. This effectively makes Make compatible with any application that has any API.

Make is more technical than Zapier but is designed for non-engineers. Most common automation patterns can be built with no coding knowledge using native app modules and the visual flow editor. The learning curve is steeper than Zapier — expect 3–5 hours to become comfortable with the interface. Users who invest in learning Make's capabilities consistently report it's worth the initial time investment.

Make has 99.9% uptime SLA on paid plans. Scenario runs are logged with full execution history for debugging. Failed runs can be retried. For business-critical workflows, add error handlers that notify you immediately on failure, and review execution logs weekly. Make is used for mission-critical automations by thousands of businesses, including e-commerce order processing and customer data pipelines.

Yes — Make's iterator module processes each item in an array individually (process a list of 100 records one at a time), and the aggregator module combines multiple data items into one (collect results from 20 API calls into a single array). These two modules enable bulk data processing workflows that are difficult or impossible to build in simpler automation tools.