Independent Research · Unvarnished Reviews
Zapier, Make, and Workato are the three most-compared workflow automation platforms, connecting apps and automating multi-step processes without custom code. They serve distinctly different buyer profiles at distinctly different scales: Zapier and Make both compete for individual, small-team, and mid-market automation budgets, while Workato is a fundamentally different product, an enterprise iPaaS sold exclusively through custom sales contracts, not a bigger version of the other two.
The finding that should change how any team budgets Zapier or Make: The two platforms don't meter usage the same way, and the difference isn't cosmetic. Zapier counts every single action step in a workflow as a billable "task," so a five-step Zap running once consumes five tasks. Make counts "operations," module executions, and specifically does not charge for branches a workflow's logic filters out before they run. For workflows with any real branching or conditional logic, this structural difference compounds into a substantial, well-documented cost gap that has nothing to do with which platform is more efficient at the underlying automation itself.
| Platform | G2 Rating | Reviews (G2) | Note |
|---|---|---|---|
| Workato | 4.7 / 5 | ~751 | Eight consecutive years as a Gartner Magic Quadrant Leader |
| Make | 4.6 / 5 | ~270 | Skews small-business (76.2% of reviews) |
| Zapier | 4.5 / 5 | ~2,000 | Largest brand recognition and integration count of the three; Trustpilot rating runs far lower (1.4-1.5/5), dominated by billing and cancellation complaints. |
All three rate closely, within 0.2 points of each other, meaning the real differentiator in this comparison is billing structure and market fit, not a satisfaction gap.
The gap between Zapier's 4.5/5 on G2 and 1.4-1.5/5 on Trustpilot is wide enough to warrant an explanation, and it comes down to what each platform's rating actually measures. G2 requires reviewers to sign in with a business email or LinkedIn account, and every review goes through manual moderation before publishing; this creates a real barrier that filters out casual or anonymous complaints, and it means the reviewer pool skews toward identifiable, professionally-engaged users, the kind of user a vendor's customer-success team is also more likely to prompt for a review in the first place. Trustpilot has no equivalent business-identity requirement and is a fully open, public platform, and a well-documented pattern across consumer review sites generally is that frustrated customers are far more likely to leave an unprompted public review than satisfied ones.
Reading the actual content of Zapier's Trustpilot reviews confirms this isn't a population effect alone; the complaints have real, specific, and recurring substance. The dominant pattern is misconfigured or looping Zaps that self-trigger repeatedly and burn through tasks before anyone notices, independently documented as producing surprise invoices in the $400-$1,200 range. Zapier does send usage alerts at 80% and 100% of a plan's task limit, but reviewers report these alerts don't arrive fast enough to stop a rapidly-looping Zap from generating a large bill before it's caught. This is a distinct, more acute failure mode than this report's core finding about per-step task counting on well-behaved workflows, a runaway loop can burn through a month's task allotment in hours, not simply run more expensively than expected over a full billing cycle.
A second, separate driver shows up consistently across reviews and is unrelated to billing mechanics: difficulty navigating Zapier's cancellation flow, with refund requests reported as going unanswered. This is a customer-service and retention-process complaint, not a pricing-model complaint, and it compounds with the billing-surprise pattern rather than explaining it. A third, newer contributor as of 2026: Zapier's AI Copilot, AI Agents, and Chatbot features are priced as separate add-ons stacked on top of the base subscription, independently estimated at $150-$200/month combined, a real, additional cost surprise for teams that assumed AI features were included in their existing plan.
Zapier prices on a free-to-paid ladder: Free includes 100 tasks/month with single-step Zaps only; Professional starts around $19.99/month (annual billing) for 750 tasks with multi-step Zaps unlocked; Team runs around $69/month for 2,000 tasks across up to 25 users; Enterprise is custom-quoted with unlimited users and tasks. Zapier's real strength is breadth, independent sources consistently cite 6,000-8,000+ app integrations, the largest catalog of the three by a wide margin.
The mechanism that drives Zapier's real-world cost: Every action in a multi-step Zap counts as a separate task, every time the Zap runs. A workflow that captures a lead, enriches it, creates a CRM record, posts to Slack, and sends a confirmation email consumes five tasks per single execution, not one. At meaningful volume, this compounds quickly; independently documented cost tables show a workflow consuming 10,000 tasks/month landing around $103.50/month on Zapier.
Make (formerly Integromat) prices on a similar free-to-paid structure with a different unit: Free includes 1,000 operations/month across up to 2 scenarios; Core starts around $9-12/month for 10,000 operations; Pro and Teams tiers scale further with additional operations and collaboration features. Make's differentiator is visual workflow power, independent reviews consistently describe its canvas (routers, iterators, aggregators) as meaningfully more capable for complex, branching automation than Zapier's more linear Zap structure, at the real cost of a steeper learning curve reviewers repeatedly flag as the platform's most consistent weakness.
The mechanism that drives Make's real-world cost advantage: Operations are counted per module execution, and modules a workflow's branching logic filters out before they run are not charged. The same 10,000-operation/month workload that costs $103.50/month on Zapier lands around $34.12/month on Make in the same independently documented cost tables, a 67% reduction for comparable work. This gap is not a one-off calculation; multiple independent cost analyses converge on a consistent range, roughly 65%-77% savings with Make over Zapier, and the percentage gap widens, not narrows, as monthly volume increases.
Workato publishes no pricing anywhere; every deployment requires a sales conversation, and there is no permanent free tier, only a free trial. Verified transaction data from Vendr places real annual contracts between $25,000 and $500,000+, with small-to-mid-market deployments most commonly landing in the $30,000-$80,000 range and enterprise implementations with high-volume workflows and premium connectors reaching $150,000-$400,000 or more annually. Users describe the pricing structure itself, a platform edition fee plus usage fees tracked separately per capability, as "very expensive" with a structure that "lacks transparency," a direct, repeated criticism independent of the absolute price level.
What that price buys is a real, different product tier: 1,200+ deep, vendor-certified connectors (against roughly 1,000-8,000 for the other two, though Workato's are positioned as enterprise-grade integrations for systems like SAP, Oracle, and Workday specifically), built-in API management, enterprise governance and audit capabilities, and dedicated customer success. Workato is not a more expensive Zapier, it's a different category of product built for organizations where governance and premium system connectivity matter more than entry price.
| Platform | Billing Unit | Entry Tier | Typical Mid-Tier |
|---|---|---|---|
| Zapier | Task (every action step) | Free, 100 tasks/mo | ~$103.50/mo at 10,000 tasks/mo |
| Make | Operation (executed modules only) | Free, 1,000 operations/mo | ~$34.12/mo at 10,000 operations/mo |
| Workato | Custom-quoted (edition + usage) | No free tier; trial only | $30,000-$80,000/year (small-to-mid-market) |
This scenario models a common multi-step workflow (capture lead, enrich data, create CRM record, notify team, send confirmation) at 2,000 monthly runs, producing 10,000 billable units/month on either platform's counting method.
| Platform | Monthly Cost | Annual Cost |
|---|---|---|
| Make | $34.12 | $409.44 |
| Zapier | $103.50 | $1,242.00 |
| Workato (small-team entry range) | ~$2,083-$3,750 | $25,000-$45,000 |
At this scale, Make saves roughly $833/year over Zapier for identical output, a 67% reduction. Workato is not a realistic comparison point at this workflow volume; its entry pricing runs 20x-36x Zapier's annual cost at this scenario, confirming it's the wrong platform for a team automating a handful of workflows, and the right one only once governance, premium connector depth, or enterprise scale require it.
Every finding below is independently documented and recurring, not a one-off complaint or a single bad review.
Choose Zapier if: Integration breadth and interface simplicity matter more than per-unit cost, your workflows are simple and low-branching, and you want the largest app catalog with the smallest learning curve of the three. Before signing, set hard usage caps or automated kill-switches on any Zap with real complexity, don't rely on Zapier's 80%/100% alerts alone, and read the cancellation process before you need it, not after a billing dispute is already underway.
Choose Make if: Your workflows involve real branching, conditional logic, or complex multi-path automation, and you're willing to invest a real learning curve in exchange for meaningfully lower cost at comparable or greater workflow power.
Choose Workato if: You need enterprise governance, audit trails, or premium certified connectors to systems like SAP, Oracle, or Workday that neither Zapier nor Make meaningfully supports, and your organization's budget and procurement process are built for annual enterprise contracts, not self-serve monthly billing.
Everyone: Model your actual workflow step count and branching complexity against each platform's specific billing unit before comparing headline prices. Zapier's per-step task model and Make's filtered-branch operation model produce different real costs for the same underlying automation, and the gap is largest exactly where automation delivers the most value: complex, multi-step, conditional workflows.
Zapier, Make, and Workato are all credible, well-reviewed platforms, but only two of them are competing for the same budget. Zapier and Make solve the same problem with meaningfully different economics, Zapier's per-action-step task counting against Make's filtered-branch operation counting produces a documented 65%-77% cost gap that grows with workflow complexity, not one that favors either platform's raw technical capability. Workato occupies a different market entirely, priced and built for enterprise governance and premium system connectivity that most Zapier or Make evaluations were never trying to solve for in the first place.
Zapier's 4.5/5 G2 rating shouldn't be read as the whole picture. Independently documented Trustpilot complaints, runaway Zaps generating $400-$1,200 surprise invoices, a documented difficult cancellation process, and AI features billed as separate add-ons, are real, recurring, and specific enough to factor into a purchase decision, not background noise from a different population of reviewers. None of these findings changes which platform wins on raw automation capability, but they change what "choosing Zapier" should actually include: real usage caps, not just alert thresholds, and a clear-eyed read of the cancellation terms before the relationship starts.