Guide
Make Review 2026: Is It Worth It Over Zapier?
Sarah Chen

Most automation companies chase venture capital before they chase revenue. Make did the opposite. Founded in Prague in 2012 as Integromat, the team spent four years building before going public with it, and had reached $10 million in revenue and 250,000 customers by 2020, entirely bootstrapped, before Celonis acquired it for more than $100 million that October.
The product got a new name, Make, in February 2022. The bootstrapped instincts stuck around.
Make is a visual automation platform for connecting over 3,000 apps on a drag-and-drop canvas, with AI agents that can now make decisions mid-workflow rather than just moving data between steps. Where Zapier hides the wiring behind a simple trigger-and-action list, Make shows you exactly how data flows through every step of a scenario, which is either exactly what you want or more complexity than you need, depending on how complicated your automations actually get.
This review covers what that visual approach actually buys you, what Make costs today, and how it stacks up against Zapier, the comparison every buyer eventually makes.
Short answer: Make is worth it if your workflows have real branching logic, error handling, or multiple data sources, the kind of automation that gets messy in a simpler tool. If you just need two apps to talk to each other, Zapier is still the faster starting point.
Quick Verdict
Metric | Detail |
|---|---|
AIwithKay score | 8.2/10 |
User ratings | 4.6/5 on G2 (275+ reviews) |
Best for | Ops-minded teams building complex, branching automations who are comfortable thinking visually even without writing code |
Starting price | $9/month (Core, billed annually), or free for light testing |
Free plan | Yes, 1,000 operations/month, but capped by a 15-minute minimum interval between runs |
Bottom line | The visual canvas genuinely makes complex automation easier to build and debug, but the credit-based pricing takes real attention to avoid overpaying |
What Works Well / What To Watch
What works well:
Full visual data flow. You can see exactly how information moves between every step, which makes debugging a broken scenario far easier than in tools that hide the wiring behind a simple list.
3,000+ native app integrations plus generic HTTP and webhook modules for anything without a pre-built connector.
A genuinely low entry price. $9/month for 10,000 operations on the Core plan is a low bar to start automating real work.
Handles complexity well. Routers, iterators, and error handlers make multi-branch workflows manageable in a way simpler if-this-then-that tools struggle with.
AI Agent Builder lets a workflow pause, hand a decision to an AI agent, and continue, without switching to a separate tool for the AI part.
What to watch:
The credit system gets confusing fast. Every module execution consumes operations, and it's easy to underestimate real usage until the bill shows up.
The free plan's 15-minute minimum interval between runs makes it impractical for anything time-sensitive.
Advanced branching and error handling genuinely take time to master, this is not a five-minute setup for complex scenarios.
Costs scale with usage on a credit basis, so heavy automation users can end up paying more than a flat-fee competitor for the same volume of work.
A smaller native integration catalog than Zapier (3,000+ versus Zapier's 9,000+), though the generic HTTP module covers most of the gap manually.
What Is Make?
Make started life in 2012 as Integromat, founded in Prague by Ondřej Gazda and a small team that included Patrik Simek as CTO. Unlike most automation startups, Integromat spent roughly four years building before it properly went public with the product, and did it without venture funding. By 2020 it had reached $10 million in revenue and 250,000 customers, bootstrapped the entire way, before German enterprise software company Celonis acquired it for more than $100 million that October.
Sixteen months later, in February 2022, Integromat was renamed Make and moved onto its current domain. The rebrand wasn't just cosmetic, it came with a broader platform vision: not just connecting apps, but giving non-developers a genuine canvas for building real logic, the kind of branching, conditional, multi-source workflows that a simple trigger-action tool struggles to express clearly.
That history explains Make's real differentiator today. It was built by people who spent years watching automations get complicated in practice, not in a pitch deck, and the visual canvas is the direct result: every step, every branch, and every piece of data moving between them is visible and inspectable, rather than hidden behind a black-box "it just works" interface.
Key Features
Visual scenario builder. A drag-and-drop canvas for building multi-step automations without code, showing the actual data flow at every step.
3,000+ app integrations. Native connectors for Salesforce, HubSpot, Slack, NetSuite, and thousands more, plus generic REST API and webhook support for anything else.
AI Agent Builder. Deploy agents inside a scenario that make decisions and take actions across your connected apps, not just move data between them.
Routers and filters. Branch workflows based on conditions without needing extra tooling or a separate logic layer.
Custom API and webhook support. Build against any REST API even when there's no pre-built connector.
Enterprise security. SOC 2 Type II, SOC 3, and GDPR compliance, with SSO on higher tiers.
How Make Performs In Practice
No paid Make account was run specifically for this review. This section is built from the consistent pattern across 275-plus G2 reviews and Make's own documentation, worth stating directly rather than presenting secondhand evidence as a hands-on test.
The review pattern is notably cleaner than some of its automation-category peers: 4.6/5 on G2, with small businesses making up a large share of the reviewer base, frequently citing Make's affordability relative to Zapier and the clarity of the visual builder as the reasons they switched or stayed. No comparably large or negative pattern shows up on Trustpilot the way it does for some other automation tools, worth noting as a genuine point in Make's favor rather than an oversight.
Where the pattern gets more mixed is the credit system itself. Reviewers consistently praise the visual debugging experience, being able to see exactly which step failed and why, but just as consistently flag that estimating real-world operation counts before you hit a wall takes real trial and error. A scenario that looks simple on the canvas can consume more operations than expected once loops, iterators, and error-handling branches are all counted, the practical version of "read the fine print before you scale."
A practical way to test this before committing to a paid tier: build your single most complex real workflow on the free plan, run it a handful of times, and check the actual operation count against what you expected. Loops and iterators are the usual surprise, a scenario that processes 50 records through three branched steps can burn through operations far faster than a simple linear automation of the same length, and that number is the one that actually predicts your monthly bill, not the plan's advertised operation ceiling.
Make Pricing in 2026
Verified against Make's official pricing and cross-checked against independent trackers as of this writing.
Plan | Price (billed annually) | Price (billed monthly) | What You Get |
|---|---|---|---|
Free | $0/month | $0/month | 1,000 operations/month, full no-code builder, 3,000+ app integrations |
Core | $9/month | $10.59/month | 10,000 operations, unlimited active scenarios, custom variables, full-text log search |
Pro | $16/month | $18.82/month | 10,000+ operations with priority execution and advanced scenario controls |
Teams | $29/month | $34.12/month | Multi-user collaboration, higher operation tiers |
Enterprise | Custom (roughly $300-500/month by usage estimates) | Custom | Custom credit allocation, 24/7 support, advanced security, dedicated Value Engineering team |
Is it worth the price? For anyone who has outgrown a simple two-app automation and needs real branching logic, Core at $9/month is a genuinely low-risk way to find out. The jump to Pro and Teams tracks with real usage growth rather than an arbitrary feature wall, which is a fairer pricing shape than a lot of the category, but it does mean your bill is a direct function of how much you automate, budget accordingly rather than assuming a flat number.
Make vs Competitors
Tool | Best For | Starting Price | Key Differentiator |
|---|---|---|---|
Make | Complex, branching automations with visual debugging | $9/month | Full visual data flow, cheaper entry point, 3,000+ integrations |
Zapier | Non-technical teams wanting the widest integration library | $19.99/month | Largest native app catalog (9,000+), simpler linear Zap structure |
n8n | Technical teams wanting cost control and self-hosting | Free (self-hosted), or €20/month | Execution-based pricing plus a genuinely free self-hosted option |
Zapier wins on sheer integration breadth and is the easier starting point if your automations are simple, one trigger, one action, no branching required. n8n is the closer technical comparison, both let you see and control workflow logic more directly than Zapier, but n8n adds a free self-hosted option and code-level control that Make doesn't offer, at the cost of a steeper learning curve. Make sits in a genuinely useful middle position: more visual clarity and cheaper entry than Zapier, less technical commitment than n8n. If you've read our Zapier review and felt the task-based pricing model was the sticking point, Make's credit system and lower entry price are worth comparing directly against your real workflow volume.
Who Make Is Best For
Best for:
Ops-minded people at startups through enterprises who think naturally in workflows, even without a coding background.
Anyone whose automations have real branching logic, conditional routing, or multiple error-handling paths.
Teams that want to see and debug exactly how data moves through an automation, not just trust that it works.
Skip it if:
You just need one trigger connected to one action, Zapier's simpler model gets you there faster.
You need an integration Make doesn't natively support and don't want to build against a generic API, check Zapier's larger catalog first.
You want a genuinely free, fully-featured self-hosted option, that's n8n's territory, not Make's.
Final Verdict: Is Make Worth It?
Make's bootstrapped, four-years-before-launch origin story shows up in the product itself: a visual canvas built by people who watched real automations get complicated over years, not a pitch deck. That shows up in the reviews too, a clean 4.6/5 on G2 with no matching negative pattern on Trustpilot, genuinely rarer in this category than it should be.
The real tradeoff is the credit system, not the builder. It rewards people willing to actually understand their operation counts, and can surprise people who assume a flat monthly fee covers everything. For anyone whose automations have outgrown a simple trigger-and-action tool, that tradeoff is worth learning. For a first automation with no branching logic yet, Zapier remains the faster, simpler starting point.
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