Make (ex Integromat)

Yes, for the right use case. Make is the best-value hosted automation platform for complex multi-step workflows in 2026 — Core plan at ~$10.59/mo covers 10,000 credits, which represents the same effective operation count that costs ~$300/mo on Zapier. If your workflows involve branching logic, data transformation, or multiple processing steps per run, the cost savings are substantial and well-documented. The platform is worth it as long as you understand the credit model and architect your scenarios to avoid polling-heavy triggers.

Make and Integromat are the same product. Integromat was founded in 2012 and rebranded to 'Make' on February 1, 2022, after being acquired by Celonis on Oct 14, 2020. The rebrand was purely a name change — the underlying platform, scenario structure, and feature set carried over. If you see references to Integromat in older tutorials, guides, or community posts, they apply to Make. The main thing to note: the Aug 27, 2025 switch from 'operations' to 'credits' means pre-Aug 2025 content uses different billing terminology, even if the product itself is the same.

At 10,000 effective operations per month, Make Core costs ~$10.59/mo versus approximately $300/mo on Zapier — a 28× cost difference for equivalent workflow complexity. The key is understanding the billing units: Make charges one credit per module execution in a scenario; Zapier charges one task per action in a Zap. A 10-module Make scenario processing 1,000 items = 10,000 credits ($10.59/mo). The same workflow on Zapier = 10,000 tasks (~$300/mo). Make's advantage grows with scenario complexity — the more modules per run, the larger the price gap.

Make enforces a hard execution timeout of approximately 40 minutes per single scenario run (documented in-product; verify current limit in Make's official documentation). Any scenario that exceeds this — long-running data exports, bulk migrations, or extended API calls — will fail when it hits the wall. The architectural workaround is to chunk the operation: break the dataset into batches (using Make's iterator or a data store approach), process one batch per scenario run, and use a scheduler to trigger successive runs. This turns a single 2-hour job into twelve 10-minute runs triggered at intervals. It adds design complexity but is the only reliable solution within Make's constraints.

Make switched from 'operations' to 'credits' as the billing unit on Aug 27, 2025. For standard modules, the effective cost is largely unchanged (1 operation ≈ 1 credit for most standard apps). The material change is in AI-native modules, which now consume variable credits based on tokens processed, file pages, or data volume — replacing a fixed per-module cost. The practical impact: teams running AI-heavy scenarios saw more variable billing post-change. The terminology change also means all guides, forum posts, and tutorials written before Aug 27, 2025 use 'operations' where you should now read 'credits.' When searching for Make help, filter for content published after Aug 2025 for accurate pricing references.

Yes. Make's free tier offers 1,000 credits per month and 2 active scenarios, with access to 3,000+ app integrations and a 15-minute minimum polling interval. It is a genuine sandbox for testing scenario logic before committing to a paid plan — more useful than Zapier's 100-task free tier, though less generous than n8n's Community Edition (which offers unlimited executions on self-hosted infrastructure). Two active scenarios is a real constraint for production use, but sufficient for evaluating whether Make fits your workflow architecture.

Make's HIPAA and SOC 2 compliance posture was not fully verifiable from public primary sources at the time of this review — verify the current compliance status directly in Make's trust center and with their sales team before routing any PHI through the platform. Do not assume SOC 2 Type II or HIPAA BAA availability without primary confirmation. If HIPAA compliance is a hard requirement, self-hosted n8n (where your team controls the infrastructure and certification responsibility) is the documented alternative in this category.

Both platforms have strong 2026 AI capabilities, but n8n edges ahead on agent depth. Make offers Maia (conversational scenario building), Make AI Agents (open beta Feb 2, 2026 with MCP tools), MCP server/client, and agent reasoning visibility on the canvas — genuinely strong. n8n offers native LangChain integration, MCP Client built-in, code nodes (JS/Python), human-in-the-loop approval (Jan 2026), and Microsoft Agent 365 Trigger (May 2026). The practical difference: n8n's code nodes and LangChain depth make it more flexible for custom agent architectures; Make's canvas visibility makes agent reasoning easier to audit and explain to non-technical stakeholders. n8n also wins on cost at high execution volumes via self-hosting.

Three patterns account for most unexpected Make bills: (1) Polling scenarios — a single polling trigger at 1-minute intervals consumes ~43,200 credits/mo, exhausting Core's 10,000-credit baseline in under 6 hours. Convert polling to webhooks wherever the trigger source supports it. (2) Iterator and router credit multiplication — every module in a branched or iterated path counts; a 10-item iterator through a 5-module chain = 50 credits per activation, not 5. (3) Extra credit packs costing ~25% more than in-plan credits (as of Nov 6, 2025) — sustained overage at pack prices means a tier upgrade is almost always cheaper than continued pack purchasing.

Yes — we've architected Make-to-n8n migrations for agencies that have scaled past Make's credit ceilings, as well as built complex Make scenario networks from scratch for teams that want the visual canvas without server management. If you're trying to decide whether to stick with Make or make the move to self-hosted n8n, a scoping call can help you model the cost break-even and migration timeline. Reach out at rapidevelopers.com/contact.