For the last few years, Make has basically been the go-to recommendation for anyone asking, “What is the best no-code automation platform instead of Zapier?”
It was cheaper, more flexible, and noticeably more powerful once you got past basic automations. For a lot of founders and small teams, that alone made it the obvious choice.
But the automation space looks very different now than it did a couple of years ago.
Make changed its pricing model in August 2025 and moved fully to a credit-based system. Zapier started pushing heavily into AI agents. n8n released version 2.0 with built-in LangChain support and persistent AI memory. And on top of that, a wave of newer AI-first automation tools started showing up everywhere.
So the conversation has changed.
It’s not just “Is Make cheaper than Zapier?” anymore.
The real question now is whether Make is still the best place for a founder or small team to start if they want to build serious automations without hiring developers.
That’s what this Make review is trying to answer.
Not the polished marketing version. The practical version.
What the pricing actually looks like now, how the credit system works in the real world, where the hidden costs start showing up, and whether Make still deserves the reputation it built over the last few years.
What Make Actually Is in 2026
Make, which used to be called Integromat before the rebrand in 2022, is basically a no-code automation platform built around a visual canvas.
Instead of writing code, you build workflows by connecting steps together visually. Think flowcharts, but functional.
You can create automations with conditions, branching logic, filters, loops, routers, data formatting, and multi-step actions without needing to be a developer.
That’s the core of the make. And in the automation world, Make sits in a very specific middle ground.
On one side, you have Zapier.
Zapier is easier to learn, has more integrations, and is usually the simplest option for basic automations. But it also gets expensive pretty quickly once your workflows become more advanced.
On the other side, you have n8n.
n8n is more technical, more flexible, and usually cheaper at scale, especially if you self-host it. But there’s a much steeper learning curve, and most non-technical founders will struggle with it at first.
Make sits between those two.
It’s approachable enough that a founder without an engineering background can still build serious workflows, but powerful enough to handle automations that would start breaking or becoming painfully expensive inside Zapier.
A few numbers help explain how big it’s become.
Make is used by more than 250,000 businesses, including companies like Deutsche Telekom, Lufthansa, Siemens, and Uber.
It supports more than 3,000 native integrations, and user reviews are consistently strong, sitting around 4.6/5 on G2 and 4.8/5 on Capterra.
The bigger story, though, is how much changed during the second half of 2025.
In August 2025, Make moved away from its old operations-based pricing and switched fully to a credit system, with the transition finishing by November.
Then in October 2025, they launched AI Agents and introduced the Maia AI assistant, which lets users build workflows using AI instead of manually setting everything up from scratch.
They also introduced Make Grid in beta, which is basically a higher-level view of all your automations at once, aimed more at larger teams managing dozens or hundreds of workflows.
So while the core idea behind Make is still the same, the platform itself has become a lot more AI-focused and a lot more enterprise-oriented than it used to be.
Make Features: What You Actually Get
1. Visual Canvas Builder
This is the main reason people choose Make over Zapier.
Everything is built visually on a canvas, so you can actually see how data moves through the workflow. You can see where information comes in, where it splits into different paths, what gets transformed, and where it ends up.
And when something breaks, debugging is way easier because you can immediately see which step failed and what data caused the issue.
The downside is that large workflows get messy fast. Once you start adding multiple branches, routers, and loops, the canvas can feel overwhelming at first. Most people need a few hours before they really feel comfortable building confidently.
2. Routers, Filters and Iterators
This is where Make becomes much more powerful than basic automation tools.
Routers let workflows split into different paths based on conditions. Filters stop unnecessary actions from running. Iterators process large batches of data one item at a time.
That flexibility is what allows you to build more advanced systems without writing code.
The catch is that iterators can burn through credits quickly. If you process 1,000 records individually, you’re consuming 1,000+ credits in a single run.
3. 3,000+ Integrations
Make supports more than 3,000 integrations, including tools like HubSpot, Apollo, Slack, Notion, and Airtable.
That covers most modern SaaS stacks pretty well.
Still, Zapier supports far more integrations overall, especially for niche or older tools.
4. Webhook Triggers
Webhooks are one of the most important features to understand because they save a huge amount of credits.
Instead of constantly checking every minute for updates, a webhook waits until something actually happens, then triggers instantly.
Faster workflows, fewer wasted credits, less overhead.
5. Make AI Agents
Make added AI Agents in late 2025 through its Maia assistant.
You can now describe workflows in plain English and have the platform generate most of the structure automatically. It also supports models like OpenAI, Claude, and Gemini natively.
For non-technical founders, this genuinely lowers the barrier to building AI-powered workflows.
That said, n8n still has the edge for more advanced AI systems and multi-agent setups.
6. Agentic automation
This is one of the bigger shifts happening inside Make right now.
Traditionally, automations followed strict rules. If this happens, then do that. Very linear. Very fixed.
Make’s newer agentic automation layer is trying to move beyond that.
Instead of following a rigid path every single time, workflows can now evaluate context, make decisions, choose what action to take next, and even adjust based on the outcome they get back.
So rather than acting like a simple automation, the workflow starts behaving more like a lightweight AI operator running in the background.
For SaaS founders, that opens the door to much smarter systems, workflows that can qualify leads differently based on behavior, change follow-up paths dynamically, or react to customer activity without needing someone to manually guide every step.
This is basically Make’s response to the bigger industry shift toward AI-native automation, which tools like n8n and Zapier are also pushing heavily into in 2026.
7. Make Grid
Make Grid is much simpler to explain, but surprisingly useful once you start running a lot of workflows. It gives you a high-level view of everything happening across your account in one place.
Instead of opening workflows one by one to check errors, run history, or status updates, Grid shows all of it together on a single dashboard.
If you’re just running a couple of automations, it’s nice to have.
But once you’re managing 7, 10, or 20+ workflows, especially across multiple clients or teams, it becomes much more valuable because you can spot problems immediately without digging through everything manually.
8. Error Handling and Execution Logs
One thing Make does really well is logging.
Every workflow run includes detailed execution history showing exactly what happened at each step. If something fails, you can usually pinpoint the problem quickly instead of guessing.
Support is more mixed. Higher-tier plans get faster support access, but lower-tier users mostly rely on documentation and the community forum. Response times can vary a lot depending on how complex the issue is.
Make Pricing in 2026: What You Actually Pay
Free plan - $0/month
The free plan gives you up to 1,000 credits per month, access to the visual workflow builder, and connections to more than 3,000 apps.
There’s no time limit and no credit card required, which makes it a good place to learn the platform and test your first few automations.
But realistically, it’s more of a sandbox than a serious production setup. Once you need higher workflow volume or real-time webhook triggers, you’ll outgrow it pretty quickly.
Make plan - starting at $9/month
Make simplified its pricing structure in 2026 into one main paid plan that scales based on credit usage.
The entry point starts at $9/month for 5,000 credits, and from there you increase credits using a slider depending on how much automation volume you need. It scales all the way into enterprise-level usage with millions of credits per month.
Even at the lower tiers, you still get unlimited active scenarios, flexible credit scaling, and access to hundreds of API endpoints.
For most solo founders, coaches, or small SaaS teams, the lower-end plans are usually enough for the kinds of workflows covered throughout this series.
Annual billing cuts the price by about 15% compared to monthly.
Enterprise / Company plan
This is aimed at larger organizations running mission-critical automations.
You get additional support, custom functions, enterprise infrastructure, and access to Make’s internal solution engineering team. Pricing is custom.
This is the part most people underestimate.
Failed workflows still consume credits for every completed step before the error happened.
Polling triggers quietly burn credits even when nothing changes, which is why webhook-based workflows are usually much smarter.
And if you use built-in AI modules without connecting your own API keys, Make charges a noticeable markup on AI usage.
As your workflows grow, those small details start affecting cost much more than the base subscription itself.
Make: Honest Pros and Cons
Pros
Best visual builder in the no-code automation space. The flowchart-style canvas makes it easy to see how data moves between steps and where workflows break.
Much cheaper than Zapier at higher volumes. A workflow that becomes expensive on Zapier usually stays affordable on Make.
The free plan is actually usable. You can test real workflows without a credit card, expiry date, or forced upgrade after a few days.
Webhook-first workflows run instantly and avoid wasting credits on constant polling checks.
Strong balance between simplicity and power. Easier to learn than n8n, but far more flexible than basic automation tools.
Cons
The free plan runs out fast. 1,000 credits sounds like a lot until you start running real workflows regularly.
Credit usage needs active monitoring. Poor workflow design can burn through credits faster than expected and stop automations mid-month.
Large workflows become visually messy quickly, especially with routers, filters, and iterators added everywhere.
AI automation is solid, but still behind n8n for advanced agent workflows, persistent memory, and complex AI orchestration.
Live chat support is locked behind higher-tier plans. Free and lower-tier users mostly rely on email support and community forums.
Who Make Is Actually Built For in 2026
Make makes the most sense if:
You’re a solo founder, coach, or small team that wants powerful automations without hiring a developer.
You want something more flexible than basic automation tools, but not as technical as n8n.
You’re currently using Zapier and paying far more than you should for relatively simple workflows.
You need real-time automations that trigger instantly through webhooks instead of delayed polling checks.
You’re building practical workflows around lead management, onboarding, CRM updates, outbound outreach, or customer retention without massive scale requirements.
You want a visual workflow builder that makes debugging and managing automations much easier.
You should probably look at alternatives if:
Your stack depends on niche or older tools that Make doesn’t support natively. Zapier’s integration library is still much larger overall.
You’re building advanced AI systems with persistent memory, multi-agent orchestration, or deep LangChain workflows. n8n is currently stronger there technically.
You’re running extremely high-volume workflows where execution-based pricing becomes cheaper than Make’s credit model.
You need stronger customer support access across all pricing tiers instead of relying mostly on email support and community forums.
You’re comfortable with more technical setup in exchange for deeper flexibility and lower costs at scale.
Make vs Zapier vs n8n: Where Each Tool Wins
Feature | Make.com Core | Zapier Starter | n8n Cloud Starter |
Monthly Cost (Annual) | $9/month | $19.99/month | $24/month |
Usage Model | Credits per step | Tasks per action | Executions per run |
Native Integrations | 3,000+ | 8,000+ | 500+ native |
Visual Builder | Canvas (flowchart) | Linear (step-by-step) | Node-based canvas |
Learning Curve | 2-4 hours | 30 minutes | 4-6 weeks |
Self-Hosting | No | No | Yes |
AI Agent Capability | Good (Maia) | Good (Zapier Agents) | Best (LangChain native) |
Best For | Visual complex workflows, cost-efficiency | Simple automations, widest app coverage | Developer teams, high-volume, AI agents |
G2 Rating | 4.6/5 | 4.5/5 | 4.8/5 |
Make wins on visual power and cost efficiency. At $9/month it delivers complex multi-branch workflow capability that Zapier charges $49/month to match. The right choice for non-technical founders who need real automation complexity at a budget-conscious price.
Zapier wins on breadth and simplicity. 8,000+ integrations and a 30-minute learning curve make it the fastest path from idea to working automation. The right choice for teams connecting niche tools that Make does not cover natively.
n8n wins on technical depth, AI agent capability and long-term cost at scale. Execution-based pricing makes it dramatically cheaper for high-frequency complex workflows. The right choice for developer teams building AI-native pipelines.
My Honest Verdict on Make in 2026
Is Make still the best no-code automation platform in 2026? For most non-technical founders, probably yes.
It’s not the easiest tool to use. Zapier is still simpler. It’s also not the most technically advanced. n8n is stronger for complex AI workflows and developer-heavy setups.
But Make sits in the middle better than almost anyone else.
It’s powerful enough to build real automation systems without needing a developer, while still being affordable for solo founders and small teams.
For the workflows covered in this series, lead follow-ups, CRM updates, onboarding, post-call admin, and content workflows, Make’s lower-tier plans are usually more than enough.
Just understand the credit system before scaling. The free plan also gets restrictive quickly once you move beyond testing.
The AI features are useful, even if they are not the most advanced on the market.
For most founders, Make still delivers where it matters.
FAQs (Frequently Asked Questions): Make Review
Is Make free forever?
Yes. Make still has a genuinely free plan with no expiry and no credit card required. You get 1,000 credits per month and access to 3,000+ integrations. The real limitations are the 2 active scenario cap and delayed run intervals, which make it fine for testing but limiting for real production workflows.
How many automations can you run on Make’s free plan?
The free plan allows 2 active scenarios and 1,000 monthly credits. That disappears faster than most new users expect. A simple 5-step workflow running 200 times per month already uses the full allowance. If you’re building more than a couple workflows, the $9/month plan is realistically where most people end up.
Is Make better than Zapier in 2026?
Make is usually better for complex workflows and cost efficiency. Zapier is better for simplicity and broader integrations. The right choice mostly depends on how advanced your workflows are and how much flexibility you need.
What’s the difference between credits and operations?
Practically, not much changed. Make replaced the word “operations” with “credits” in 2025, but the billing logic stayed basically the same. One action inside a workflow still consumes one credit.
Can Make replace n8n for AI workflows?
For most AI-assisted workflows, yes. Things like lead scoring, email personalization, or content automation work well inside Make. But for advanced AI agents, persistent memory, and multi-agent systems, n8n is still the stronger technical option.
Wrapping Up - Make review
Make in 2026: The Best Starting Point for Non-Technical Founders Who Want Real Automation
Make Core at $9/month remains the recommended automation backbone for every workflow covered in this series. The credit system needs understanding before you build at scale. The free plan's 2-scenario limit will frustrate you if you go in expecting to test everything before committing. The AI agent capability is functional but not the most advanced in the market.
None of that changes the core verdict. For a non-technical founder who needs real automation complexity without a developer, Make delivers more per dollar than anything else in this category.
If you’re still comparing platforms, read the full Make vs n8n comparison first.
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