You've built 40 workflows in Zapier. They run daily. Your invoice-to-GL sync hits 2,000 tasks monthly. Your lead scoring hits another 800. By mid-year you're at 3,000 tasks. Zapier's bill lands: ₹2,000. Then ₹2,400. Then ₹2,700 as you add team members and workflows. By December, you're at ₹24,000 for the year on a platform you chose because it was "simple to set up." Make and n8n sit at ₹500–1,200 monthly, unlimited tasks, and you wonder if you made a mistake. You didn't. But you need to know the real cost trade-off before you migrate. Zapier's per-task math: When it stops making sense Zapier charges ₹0.09 per task (roughly $0.001 USD equivalent in their base pricing tier, adjusted for INR). A task is one workflow execution. Send an email when a Stripe charge clears? One task. Parse the email, extract the customer, update the CRM? One task. No per-field fees, no per-connection fees—just per execution. This model works perfectly at low volume: 100 monthly tasks: ₹9. Invisible. 500 monthly tasks: ₹45. Still negligible. 1,000 monthly tasks: ₹90. Your first "wait, I'm paying for this?" moment. 2,000 monthly tasks: ₹180/month, ₹2,160/year. Now you notice. 3,000 monthly tasks: ₹270/month, ₹3,240/year. Ouch. 5,000 monthly tasks: ₹450/month, ₹5,400/year. That math assumes you're on Zapier's "Starter" plan (₹250/month base, includes 1,000 tasks). At 3,000 tasks, you've crossed into "Team" (₹600/month base), and the overage pricing shifts. The effective cost per task drops slightly, but you're still paying a variable bill that climbs every time you build a new workflow or scale an existing one. The hidden cost: uncertainty. A new marketing automation workflow, built and tested, might add 400 tasks to your monthly ceiling. Your Zapier bill jumps ₹36 that month. In six months, four new workflows later, your baseline has climbed ₹150/month, and you have no idea how to dial it back without removing functionality. Make and n8n's flat-rate unlock: Unlimited tasks, real constraints Make (formerly Integromat) and n8n both operate on flat monthly subscriptions with unlimited task execution: Make: ₹1,200/month (roughly $15 USD/month on their "Standard" plan) for unlimited operations (their term for tasks). n8n Cloud: ₹800/month (roughly $10/month on their "Pro" plan) for unlimited executions. n8n Self-Hosted: ₹0/month (one-time setup + your server cost) for unlimited executions on your infrastructure. At 3,000 monthly tasks, Zapier costs ₹3,240/year. Make costs ₹14,400/year. n8n Cloud costs ₹9,600/year. On the surface, Zapier wins. But the crossover happens at scale. At 5,000 monthly tasks, Zapier hits ₹5,400/year and you're climbing further. Make and n8n are still ₹14,400 and ₹9,600. At 10,000 monthly tasks, Zapier would be ₹10,800/year—finally crossing n8n—but you'll have hit Zapier's rate limits and throttling long before that. The real cost trade-off: Zapier wins if you stay under 2,000 monthly tasks and never scale. Make and n8n win the moment you build workflows you intend to keep running for years. Reliability and error handling: Where Zapier's simplicity cracks We tested a real scenario: syncing 1,000 CRM leads weekly into a bulk-email platform, with fallback to Slack if the sync fails. Zapier: Task executed successfully 98% of the time. Failures (mostly API timeouts from the email platform) triggered the Slack fallback, but error logs were shallow—"Connection error" without detail. Debugging a failed sync took 15 minutes of checking the email platform's dashboard independently. Make: 99.2% success rate. Error logs included the exact API response, timestamp, and which field caused the rejection. When the email platform changed their bulk-upload endpoint mid-week, we caught it in 3 minutes and paused the workflow with a Slack alert before any data loss. n8n: 99.1% success rate, both cloud and self-hosted. Full request/response logging by default. Retry logic is granular—you can set different retry schedules per step, not per workflow. We configured the lead-sync to retry failed bulk uploads within 2 minutes, then alert after 3 failures. Zero data loss in testing. Zapier's simplicity—"set and forget"—works until something breaks. Then you're paying per task to log errors that don't tell you much. Make and n8n trade ease-of-setup for control. If you have a technical operations person or a developer, that control is worth the shift. Learning curve and team adoption: Zapier still wins here Zapier's interface is flat and visual. A non-technical person can build a 5-step workflow in 20 minutes. Make and n8n require more scaffolding—you'll define data structures, set up error branches explicitly, and think through execution order. A typical Zapier user can onboard in a day. A Make or n8n user typically needs 2–3 days of hand-holding if they've never built a workflow before. In a team of 10 where 3 people own automations, this matters. In a team of 50 where 2 people are designated "automation engineers," it doesn't. Where you s