Make Review 2026: Features, Pricing & Verdict

The power user’s automation in 2026

Make approaches automation fundamentally differently from Zapier. Where Zapier shows you a linear “trigger → action → action” Zap that reads top-to-bottom like a recipe, Make gives you a visual scenario canvas — drag modules onto a blank surface, connect them with routes, filters, and aggregators, watch data flow through the connections. The result is more complex to look at but substantially more capable when the workflow is non-trivial.

A simple way to frame the trade-off: for workflows that fit Zapier’s linear model (“when new Gmail with attachment → upload to Drive → notify Slack”), Zapier is simpler and faster to build. For workflows that involve branching (if record_type = “lead” → path A, if record_type = “customer” → path B), parallel processing (fan out to 10 simultaneous API calls), complex data manipulation (parse JSON, transform with mappings, aggregate into a single output), or intricate conditionals (filter results based on three combined criteria), Make handles all of it natively in the UI. Zapier can be coerced into doing some of this with Paths and Filters but the cost in builder friction and per-step pricing adds up fast.

The 2026 reality: a lot of “AI workflow” automation involves these non-trivial patterns. A marketer wiring up an AI tool stack typically wants to fan out the same input to three different LLMs, compare outputs, route to a human reviewer if scores diverge, and log everything to a database. That’s not a linear Zap — that’s a branching scenario. Make handles it natively; Zapier requires assembling five separate Zaps and hoping the integrations stay coordinated.

What Make is in 2026

The product has matured considerably since the Integromat → Make rebrand in 2022. The current surface:

• Scenarios — the core unit: a visual canvas where modules (apps, transformations, routers, filters) connect via routes. Drag, drop, configure. The visual model is the entire UX.
• Routers and Filters — branching logic built directly into the canvas. A single trigger can split into 5+ parallel paths based on conditions, each path executing independently.
• Iterators and Aggregators — loop over arrays (Iterators) and collapse multiple results into single outputs (Aggregators). Critical for workflows involving lists of items.
• HTTP modules — raw API calls for any endpoint Make doesn’t have a native integration for. Essentially gives you an escape hatch into any web service.
• Custom apps — build your own integrations using Make’s app-builder framework. Useful for internal tools or services without public connectors.
• Make AI — first-class AI modules including OpenAI, Anthropic, and other LLM connectors with structured-output and prompt-templating features baked in. As of 2026, Make’s AI module set is meaningfully better than Zapier’s equivalent.
• 1,400+ integrations — fewer than Zapier’s 8,000+ but covering the most-used apps. The integration gap matters for fringe SaaS; for mainstream tools (Google Workspace, Microsoft 365, Salesforce, HubSpot, Notion, Airtable, Slack, Discord, the big LLM APIs), parity exists.
• Data stores — built-in lightweight storage for workflow state. Useful when scenarios need to remember context across runs.
• Webhooks and instant triggers — sub-second-latency triggers when speed matters.
• Make On-Premise — self-hosted option for regulated industries (HIPAA, GDPR-sensitive workloads).

The trajectory of the product through 2024-2026 has been consistent: deeper integrations, better AI tooling, more enterprise features (SSO, governance, audit), and aggressive pricing that maintains a meaningful gap vs Zapier at every tier.

Pricing — and which tier actually fits

Make’s pricing is unusual in the automation category in that the free tier is genuinely useful rather than a bait-and-switch.

Free — $0

1,000 operations per month, 2 scenarios active, no time-based scheduling limits. The “operation” is the key billing unit: every module execution counts as one operation (a scenario with 5 modules running once = 5 operations). For light use — personal productivity, side projects, evaluating the product — the free tier covers a real amount of work.

Core — $9/month (annual) or ~$11 monthly

10,000 operations, unlimited active scenarios, 5-minute minimum scheduling interval. This is the tier most solo users settle on once they’ve validated the product fits. At $9/month annual, the pricing math vs Zapier Starter ($19.99/month) is roughly 2x cheaper for a more powerful product.

Pro — $16/month annual

10,000 operations (same as Core) but with priority queue processing, advanced features (Make AI variables, custom variables across scenarios), and 1-minute scheduling intervals. The Pro upgrade matters mostly for users running time-sensitive workflows.

Teams — $29/month annual

Multi-user workspaces, shared scenarios, team-level templates and folders. Designed for small teams (5-20 users) consolidating their automation in one workspace.

Enterprise — custom

Higher operation caps, SSO, governance, dedicated support, and on-premise deployment for regulated industries.

My recommendation:

• Free for evaluation and light personal use — genuinely useful, no tricks
• Core at $9/month for any solo user with regular automation workloads — the standard tier
• Pro at $16/month if your workflows are time-sensitive and you want priority queue
• Teams at $29/month for small operations consolidating across multiple users
• Skip Enterprise until you’ve outgrown Teams

The side-by-side comparison: at $9/month Make Core, vs $19.99 Zapier Starter, Make wins on price and capability. Zapier wins on simplicity, integration breadth, and onboarding ease. For technical users, Make’s $9/month is one of the better-value subscriptions in the AI tool stack.

What Make does well

Visual complexity handling. Branching, loops, parallel flows, conditionals, and aggregation are all native UI primitives — not afterthoughts bolted onto a linear model. For workflows that genuinely need these patterns, building them in Make is dramatically faster than coercing Zapier into approximating them.

Pricing economics. $9/month for Core is meaningfully cheaper than equivalent Zapier ($19.99 Starter, $49 Professional). The free tier’s 1,000 operations is enough to do real work — many solo users never need to upgrade.

Built-in data transformation. JSON manipulation, array operations, string transformations, conditional mapping — these are all native modules rather than requiring custom code or complex workarounds. For workflows that move data between systems with different schemas, Make’s transformation tooling saves substantial scenario-design time.

Powerful HTTP module. When Make doesn’t have a native integration, the HTTP module lets you call any API. With OAuth handling, response parsing, and error handling built in, integrating with niche or internal services is a 5-minute job rather than a 3-hour one.

Make AI modules are first-class. OpenAI, Anthropic, Mistral, and other LLM integrations have proper structured-output support, prompt templating, and token-cost surfacing. Building AI-powered workflows in Make is meaningfully easier than in Zapier, where AI feels bolted-on.

Self-hosted Enterprise option. For regulated industries (healthcare, financial services, EU government), Make On-Premise allows full data residency control — a feature Zapier doesn’t match.

Decent audit trail. Scenario runs are logged with full input/output data for debugging. Re-running a failed scenario step with the original inputs takes one click. This sounds minor but is a major time-saver during workflow development.

Where Make falls short

Steeper learning curve. The visual complexity that makes Make powerful is the same thing that makes it intimidating for first-time users. Building your first non-trivial scenario takes 30-60 minutes vs. 5-10 minutes in Zapier. For users who automate occasionally rather than daily, that ramp time matters.

Fewer integrations than Zapier. 1,400 vs Zapier’s 8,000+. For mainstream tools the gap doesn’t matter. For long-tail SaaS or industry-specific tools, Zapier is more likely to have a native connector.

UI can be overwhelming. A complex scenario with 30+ modules, 5 routers, and multiple aggregators looks like an electrical schematic. This is unavoidable — the complexity is in the workflow, not the UI — but it’s a real cognitive cost for users maintaining inherited scenarios they didn’t build.

Not as beginner-friendly. Non-technical users adopting their first automation tool almost always find Zapier easier to start with. Make’s power matters once you’ve outgrown linear automation; for users still in the “if this then that” phase, the extra capability is just extra confusion.

Error handling is good but not great. Make has retry policies and error routes, but debugging failures in complex scenarios still requires careful inspection. n8n’s code-fallback option is sometimes easier for developers tracking down edge-case failures.

Documentation depth varies. Core platform documentation is excellent. App-specific integration documentation varies — some modules have detailed guides; others have minimal coverage and require trial and error.

Make vs alternatives in 2026

The automation category has clear tiers:

• vs Zapier: Zapier is the default for simple workflows and broader integration coverage. Make is the upgrade for users whose workflows have outgrown linear “if-this-then-that.” Most teams end up running both — Zapier for simple connectors, Make for complex orchestration. Pricing favors Make at every tier.
• vs n8n: n8n is the developer’s choice — self-hostable, open-source core, code fallback in any node. Make is for technical non-developers who want visual workflow design without writing JavaScript. The skill profile difference is real; pick based on whether your team is comfortable writing code as part of automation.
• vs Gumloop: Gumloop is purpose-built for go-to-market workflows (lead enrichment, outbound sequences, sales operations). Make is general-purpose. For GTM-specific use cases, Gumloop is faster to deploy; for everything else, Make is more flexible.
• vs Microsoft Power Automate: Power Automate is the obvious choice for Microsoft 365–heavy shops with Office workflows. For users outside the Microsoft ecosystem, Make is generally better; for inside the ecosystem, Power Automate’s deep M365 integration is hard to match.
• vs Workato / Tray.io / Boomi: These are enterprise iPaaS platforms aimed at IT departments at large companies. Make competes more in the SMB-to-mid-market segment; the enterprise iPaaS platforms compete in larger Fortune 1000 deployments with governance, change-management, and integration-team support built in.

The market position: Make is the right tool for technical small teams and power users who have outgrown Zapier but don’t need (or want) full code-level control. That’s a genuinely useful position in the 2026 automation landscape.

Who should use Make

• Operations and revenue-operations specialists running multi-system data flows
• Solo founders and indie builders automating complex business logic
• Small technical teams consolidating their automation stack
• Cost-conscious users who’ve outgrown free Zapier but don’t want $50+/month
• AI tool builders wiring together LLMs, vector databases, and downstream actions
• Users needing data transformations that Zapier can’t elegantly express

Who shouldn’t use Make

• Pure beginners with simple “when X happens, do Y” needs — Zapier is easier
• Users needing fringe SaaS integrations that Make doesn’t support — Zapier’s wider catalog wins
• Developers wanting code-level control in every node — n8n is the right choice
• Microsoft-365-heavy organizations — Power Automate’s native integration is hard to beat
• Enterprise IT departments needing governance, change-management, and IT-team support — look at Workato / Tray / Boomi

My verdict

Make is the best-kept secret in automation in 2026. For users willing to climb the moderate learning curve, it delivers genuinely more power than Zapier at substantially lower cost — and meaningfully easier setup than n8n for non-developers. The free tier alone makes Make worth installing; the $9/month Core tier is one of the higher-leverage subscriptions in the AI tool stack.

A working pattern that fits most users: Zapier for the simple linear “when X happens, do Y” workflows (where Zapier’s broader integrations and simpler UX win), and Make for the complex multi-branch orchestration (where Make’s power and pricing dominate). Both can coexist at modest cost — Zapier free + Make Core ($9) covers most solo-user needs for under $10/month.

For broader category context, see best AI productivity tools and the small business AI guide.