Zapier vs Make: Pricing, Speed, Which to Pick [Compared]
If you have arrived at the Zapier-vs-Make decision, you have already done the hard part: you know workflow automation is a real lever for your business and the only remaining question is which platform earns the integration budget. Both Zapier and Make can move data between the tools you already use; both have credible free tiers; both have served hundreds of thousands of small businesses for years. The decision turns on three things: how complex your workflows actually are, how price scales as your volume grows, and how much vendor consolidation you can stomach. This guide compares them honestly and shows where US Tech Automations sits as a peer option for a specific kind of operator.
Key Takeaways
Zapier wins on connector breadth (5,000+ apps); Make wins on visual workflow design and price-per-operation at scale.
US small businesses (employer firms): roughly 33 million according to SBA Office of Advocacy 2025 Small Business Profile, so the addressable demand for both platforms is enormous.
For 1-3 step automations, Zapier is faster to ship; for 5+ step branching workflows, Make is usually cheaper and more flexible.
US Tech Automations is a peer alternative when industry-specific templates, audit logs, or flat-rate pricing matter more than raw connector count.
The right pick depends on workflow shape, not on which logo you have seen more often in your LinkedIn feed.
What is the difference between Zapier and Make? Zapier is a connector-first automation platform with the largest integration library in the market and a simple trigger-action model. Make (formerly Integromat) is a visual workflow builder with branching, looping, and per-operation pricing that scales more cheaply at high volume. Small businesses citing time-management as a top challenge: a large share each year according to NFIB 2024 Small Business Economic Trends.
TL;DR: Choose Zapier if you mainly need 1-3 step automations across many apps and want fastest time-to-value. Choose Make if you have multi-step branching logic or operate at thousands of runs per month. Choose US Tech Automations if you want industry-specific templates, dedicated implementation, and a flat-rate plan instead of per-task pricing. SMBs reporting workflow tool ROI in under 12 months: a clear majority according to Goldman Sachs 10,000 Small Businesses 2024 survey, so all three options can hit payback if matched to workflow shape.
Who this is for and the decision frame
This comparison is written for 5-100 employee small businesses with $500K-$50M in revenue, a stack centered on a CRM (HubSpot, Salesforce, Pipedrive), a finance tool (QuickBooks, Xero), a communication tool (Slack, Microsoft Teams), and at least 3-5 SaaS subscriptions feeding daily operations. What does the typical Zapier-vs-Make decision look like in 2026? A founder or ops lead with one specific workflow in mind ("when a deal closes in HubSpot, create a project in Asana, post to Slack, and add a row to QuickBooks") trying to figure out which platform handles it most cleanly.
The decision is genuinely a fork. Both platforms are mature, both have BAAs and SOC2 attestations available on higher plans, both have active marketplaces, and both have non-trivial free tiers. The right answer changes based on workflow shape and run volume, not on a single feature checklist.
| Dimension | Zapier strength | Make strength |
|---|---|---|
| Connectors | Industry-largest library; 5,000+ apps | Smaller library; deeper API capabilities |
| Workflow design | Linear; "if this then that" model | Visual canvas with branching and looping |
| Pricing | Per-task tiers | Per-operation tiers; operations cheaper at scale |
| Learning curve | Lowest in the category | Steeper; rewards investment |
| Multi-step branching | Possible with paths and filters | Native and granular |
This article walks through the four decisions that actually matter (connectors, pricing, complexity, governance), shows where US Tech Automations fits as a third option, and closes with a frank "when to pick which" matrix.
Who this is for: the four decisions that decide the platform
Sizing is the same as above (5-100 employees, $500K-$50M revenue, 3-5+ SaaS in active rotation). The four decisions below should drive the choice; the rest is shopping.
Decision 1: Connector breadth vs depth. Zapier has the largest library in the category and is the right answer when you need to wire 20+ apps together at the surface level. Make is the right answer when you wire fewer apps but need deeper access to each one's API (Zapier supports the most common actions per app; Make often supports more).
Decision 2: Pricing shape. Zapier prices by task (each step in a workflow counts). Make prices by operation (each module run counts). At 1,000 runs per month with 4-step workflows, the math runs about even; at 10,000 runs, Make is usually cheaper. Flat-plan vendors like US Tech Automations price by plan rather than by run, which changes the math again for high-volume operators.
Decision 3: Workflow complexity. A 2-step "new lead → Slack message" automation is fine on either; either platform ships it in 10 minutes. A 12-step automation with conditional branching, error handling, retries, and audit logging is materially easier on Make than Zapier and easier still on an orchestration layer built for that shape.
Decision 4: Governance. Audit logs, role-based access, SSO, and BAA support exist on both platforms at higher tiers. The fine print matters; many ops teams choose a third option specifically because the governance posture is opinionated rather than configurable.
| Decision | Zapier favored | Make favored | Third option (USTA) favored |
|---|---|---|---|
| Connector breadth | Yes | No | Industry-tuned |
| High run volume | At small scale | Yes (cheaper at scale) | Flat-rate plans |
| Multi-step branching | Workable | Yes | Yes, with audit |
| Governance posture | Configurable at higher tiers | Configurable at higher tiers | Opinionated, built-in |
Pricing: where the math turns
Pricing is the single decision that surprises most buyers because the published list price is rarely the price you actually pay. Zapier, Make, and flat-plan alternatives each have different pricing shapes, and each shape favors a different operator.
Zapier's per-task pricing is generous on the free tier (100 tasks/month) and climbs fast in production. A 4-step workflow at 2,000 fires/month is 8,000 tasks, into the paid tiers quickly. What does the typical Zapier bill look like at 2,000 runs/month? Often the mid-range of paid tiers when workflows are short; upper end as complexity grows.
Make's per-operation pricing counts each module run individually. A webhook + email + 1 condition + 1 update is 4 operations per run; at 2,000 runs/month, 8,000 operations sits in middle Make tiers. Make's free tier is more generous in operation terms.
Flat-plan vendors price by plan rather than by task or operation. At small volumes the plan looks more expensive than either competitor; at high volumes the plan is cheaper than both because the unit economics decouple from run count. For operators with predictable high-volume workflows or industry-specific compliance needs, that decoupling is the point.
| Volume | Zapier | Make | US Tech Automations |
|---|---|---|---|
| 100 runs/month, simple | Free or low tier | Free | Plan covers it |
| 2,000 runs/month, multi-step | Mid paid tier | Lower paid tier | Plan covers it |
| 20,000+ runs/month | Upper paid tier | Mid paid tier | Plan covers it; predictable cost |
| 100,000+ runs/month | Enterprise tier | Enterprise tier | Flat plan stays the same |
The right pricing model is the one that matches your actual volume profile. Pull a 30-day count of expected workflow runs from a representative pilot, then run the math on each pricing model with that count.
Connectors and integrations: the breadth-vs-depth tradeoff
Connectors decide whether you can build the workflow at all. Zapier wins on raw count; Make wins on per-connector depth; vertical platforms like US Tech Automations win for the narrow set of industry templates (healthcare, insurance, marketing agency, restaurant, legal) where opinionated templates beat generic ones. Which platform has the most native connectors? Zapier, by a meaningful margin.
Zapier's library includes essentially every consumer SaaS tool you have ever heard of and a long tail of niche tools. If the question is "is my tool supported," the answer with Zapier is almost always yes. The tradeoff is that Zapier supports the most common actions per app and not every API endpoint, so workflows that need an obscure endpoint can hit a ceiling.
Make's library is smaller but each connector typically supports more API capabilities. For workflows that need a less-common action (a specific Salesforce SOQL query, a non-standard Google Sheets formula), Make is more likely to support it natively. Make also has a robust HTTP module for connecting to any API directly, which Zapier has too but Make's is easier to wire.
A vertical orchestrator supplies a smaller, opinionated set of templates that wire the specific tools each vertical actually uses (athenahealth + Twilio for healthcare; Applied Epic + AMS360 for insurance; OpenTable + Toast for restaurants). It is not the right tool for an arbitrary "wire any 2 SaaS" workflow; it is the right tool for the 8-12 workflows that anchor a vertical operation.
Workflow complexity: where Make pulls ahead
Workflow complexity is where Make starts to clearly outperform Zapier. A linear workflow (trigger → action) runs equally well on both. A workflow with branching (if condition A, do X; if condition B, do Y) is buildable on Zapier with Paths and Filters but is materially easier on Make's visual canvas.
A workflow with looping (for each row in this list, do X) is hard on Zapier and native on Make. A workflow with error handling (if X fails, retry, then escalate) is configurable on both but more granular on Make. A workflow with cross-workflow handoff (workflow A finishes, triggers workflow B) is possible on both with sub-workflows.
What complexity threshold should push an operator from Zapier to Make? Roughly 5+ steps with at least one branching condition, or any looping requirement. Below that threshold Zapier is faster to ship; above it Make is faster to build and cheaper to run.
| Workflow shape | Zapier | Make |
|---|---|---|
| Linear 2-3 step | Fastest to ship | Easy |
| 5-step with branches | Workable; multiple Zaps | Native single workflow |
| Looping over rows | Hard | Native |
| Error handling + retries | Limited per tier | Granular |
| Cross-workflow handoff | Possible | Possible |
Vertical orchestrators are similar to Make on complexity within the industry templates they ship but smaller in scope; that layer is built around vertical workflows rather than horizontal arbitrary builds.
Honest competitor table: Zapier vs Make vs US Tech Automations
This is the table most readers come for. The framing is honest: each platform wins on different dimensions, and the right choice is the one that fits your workflow shape and volume profile.
| Capability | Zapier | Make | US Tech Automations |
|---|---|---|---|
| Connector library | Largest (5,000+ apps) | Smaller; deeper per app | Industry-vertical templates |
| Linear workflows | Best in class for speed | Easy | Easy |
| Multi-step branching | Workable with Paths | Native, granular | Native with audit log |
| Looping over data | Limited | Native | Limited; vertical patterns |
| Pricing model | Per task | Per operation | Flat plan |
| Audit log | Run history | Execution history | Native compliance log |
| Industry templates | Generic | Generic + community | Healthcare, insurance, agency, restaurant |
| Best fit | Solo and small-team builds | Technical operators | Vertical SMBs needing audit + flat-rate |
The matrix above is not a marketing pitch; it is the actual shape of the decision. Zapier deserves its market position for solo operators and small-team builds because it is the lowest-friction option in the category. Make deserves its growing share for technical operators who run complex workflows at scale because the value-per-operation is hard to beat. US Tech Automations earns the integration when the operator is in a regulated vertical or wants flat-rate pricing.
Migration considerations
A common Zapier-vs-Make question is "what does it take to migrate?" Most operators with 5-20 Zaps can rebuild on Make in 1-2 weeks of part-time work. Operators with 50+ Zaps usually do a phased migration over a quarter, rebuilding by category. What is the most common migration regret? Replacing a Zap with a Scenario and forgetting to migrate the error-handling logic; the new platform's defaults are different.
A vertical-orchestrator migration is a templates-and-tune approach: the implementation team translates existing Zaps or Scenarios into vertical templates, the operator reviews each one, and the workflows go to production with audit logging on from day one. Most vertical SMBs ship in 2-4 weeks rather than the 1-3 month rebuild a like-for-like switch would imply.
| Move | Effort | Risk |
|---|---|---|
| Zapier → Make | 1-2 weeks for 5-20 workflows | Error-handling defaults differ |
| Make → Zapier | Rare; usually a capability downgrade | Loss of branching/looping |
| Zapier or Make → vertical orchestrator | 2-4 weeks for vertical SMB | Templates may not match 1:1 |
| Vertical orchestrator → either | Possible; templates export | None significant |
How to run the Zapier vs Make decision: 8 steps
These eight numbered steps walk a small-business operator through the decision in under a working week.
List your top 5 workflows. Specifically by trigger, steps, and outcome. The 5 workflows that anchor your operation are the ones that determine the platform choice.
Count steps per workflow. A "step" is each module run. Workflows averaging 1-3 steps lean Zapier; workflows averaging 5+ steps lean Make.
Estimate monthly runs for each workflow. Use a representative month, not a peak. Total runs across the 5 workflows is the volume to model.
Multiply steps x runs for each workflow. That product is roughly your Zapier task count and your Make operation count for the workflow.
Plug into each platform's pricing calculator. Zapier's calculator uses tasks; Make's uses operations. Add 20% headroom for retries and the inevitable workflow you forgot.
Identify the governance must-haves. SSO, BAA, audit logging, role-based access. Note which tier each platform requires.
Run a 14-day trial on one workflow. Use the most complex workflow on your list. The trial surfaces where the platform's defaults fight your needs.
Decide and document. Pick the platform, document the reasoning, and revisit annually. The choice is reversible; the documentation prevents you from re-litigating the same decision in 9 months.
By step 8 you have a decision, a documented rationale, and an annual review cadence. What is the most common step where decisions stall? Step 5, where the pricing model surprises someone; running the math up front prevents the surprise.
Where US Tech Automations sits in the picture
US Tech Automations is a peer option, not a replacement for either Zapier or Make. The right way to think about the three is: Zapier is the broad consumer of the connector breadth; Make is the deep technical operator's tool; US Tech Automations is the vertical SMB's tool when the workflows match its template library.
For healthcare clinics needing audited lab-result chains, the platform is built for the shape. For insurance agencies needing renewal-reminder cadences, its vertical templates ship faster than a Zapier or Make build-from-scratch. For marketing agencies needing client-reporting automation, the orchestration logic across CRM, project, and reporting is opinionated rather than configurable.
The vertical orchestrator is not the right tool for an arbitrary 100-app horizontal build; that is Zapier's job. It is not the right tool for a high-volume technical-operator workflow that does not fit a vertical template; that is Make's job. The peer positioning is honest: each platform earns its slot.
Related reading on SMB automation
Each guide answers a specific subset of the platform-choice decision.
Common decision mistakes to avoid
Three mistakes show up repeatedly. The first is picking based on marketing weight rather than workflow shape. Neither logo recognition nor LinkedIn presence predicts which platform fits your specific workflow.
The second is underestimating run volume. A 50-runs/month pilot does not stress pricing; a 5,000-runs/month production rollout does. Run the math on representative volume before signing the annual contract.
The third is treating governance as a phase-2 problem. Audit logs, SSO, BAA, and role-based access are easier to set up from day one than retrofit later.
FAQs
Which is cheaper, Zapier or Make?
Make is generally cheaper at high run volumes because per-operation pricing scales more gently than Zapier's per-task pricing. At low volumes the published prices are similar, and the free tiers are comparable.
Which is easier to learn?
Zapier is easier to learn for non-technical operators because the linear "trigger then action" model is intuitive. Make is easier for technically inclined operators who prefer visual canvases.
Can both platforms handle multi-step workflows?
Yes, but with different ergonomics. Zapier handles multi-step with Paths and Filters, which works but feels constrained at 5+ steps. Make handles multi-step natively on a canvas with branching and looping.
Is Zapier or Make better for HIPAA workflows?
Both offer BAAs on higher-tier plans. Make's BAA terms are clear and accessible; Zapier's BAA is available on Enterprise tiers. Vertical orchestrators built with HIPAA workflows in mind ship with audit logging by default.
Do I need to learn code to use either?
No. Both Zapier and Make are no-code platforms; advanced users can drop into code modules (JavaScript on both) for custom transformations, but the core builds are entirely visual.
What happens if my workflow fails?
Both platforms keep run logs and retry policies. Make's error-handling is more granular; you can define per-module error paths. Zapier's error handling is per-Zap rather than per-step.
How long does a typical migration between the two take?
1-2 weeks of part-time work for 5-20 workflows of low to medium complexity. Larger or more complex workflow estates take a quarter or more, usually done as a phased migration.
Glossary
Zap: A single workflow on Zapier, consisting of a trigger and one or more actions.
Scenario: Make's equivalent of a Zap; a single visual workflow on the Make canvas.
Task (Zapier): One step in a Zap that consumes one unit of Zapier's task quota.
Operation (Make): One module run in a Scenario that consumes one unit of Make's operation quota.
Connector: A pre-built integration to a third-party app exposing its API actions.
Multi-step workflow: A workflow with more than one action; for branching workflows, multiple paths from a single trigger.
Orchestration: Coordinating multiple workflow steps across systems with retries, conditional logic, and audit logging.
BAA (Business Associate Agreement): HIPAA-required contract between a healthcare covered entity and a vendor handling PHI.
Get a workflow review with US Tech Automations
If you have a Zapier-or-Make decision in front of you, the most useful next step is to put your top three workflows on the table and see which platform handles them most cleanly. US Tech Automations is happy to join that review as the third option, especially if you are in a regulated vertical or running at volume that pushes per-task or per-operation pricing into uncomfortable territory. Schedule a demo at US Tech Automations to walk through your workflow shape and pricing math with our team. The Zapier vs Make decision is real; the third option is worth knowing about before you commit.
About the Author

Builds CRM, ops, and back-office automation for owner-operated and lean-team businesses.
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