Make.com looks like the smart move. No engineering team required, automations running in days, a visual interface that any operations person can figure out. For a business owner trying to move fast, it checks every box.
The problem shows up later, usually in the invoice, in the 3am outage you can’t debug, in the moment you realize the workflows running your business live on someone else’s servers and you have no way to get them back.
You’re Paying Per Step, and It Compounds Fast
Make.com bills per credit. A credit is every module step in every scenario run, so a ten-step workflow that fires 1,000 times costs 10,000 credits. The Core plan covers 10,000 credits for $9 a month. That sounds fine until you realize it’s one workflow, running once a day, for a month.
Run a promotional campaign and watch orders spike. Process customer data across multiple workflows. Build out even modest automation depth. The bill doesn’t scale linearly; it multiplies with every step you add and every record you touch. Processing 500,000 orders per month through a six-step workflow burns 3 million credits, 300 times the Core plan quota. At that volume you’re in enterprise pricing territory, typically $500 to $2,000 a month depending on what you negotiate.
AWS Lambda charges $0.20 per million invocations. Three million invocations at 256MB memory and 200ms duration costs $3.10 in compute, plus Step Functions Express workflows at $1 per million executions. The month’s total comes to roughly $3.60. The permanent free tier covers 1 million Lambda invocations and 400,000 GB-seconds of compute per month and never expires, so the actual bill drops below $1.
When It Breaks, You’re Stuck
Make.com has no local development environment. No version control. No way to test a change before it runs on live data. The platform stores your scenarios in a proprietary format on their servers, and when something goes wrong in production, your options are limited to clicking through a visual canvas and reading generic error messages.
Trustpilot reviews for Make.com sit at 2.9 out of 5. The recurring complaints aren’t about missing features. They’re about the platform crashing mid-build and losing work, scenarios failing silently, and support taking two months to respond with canned replies that don’t address the actual problem.
If a third-party integration breaks because that platform updated their API, you wait. Make.com has to fix their module. You have no access to the underlying code, so there’s nothing you or an engineer can do while your automation is down.
AWS Lambda functions are code that lives in a Git repository. If something breaks, an engineer can diagnose it, fix it, test it locally with SAM CLI, and deploy the fix. Step Functions workflows are JSON files in version control. When an API changes, you patch it yourself and push through your pipeline. CloudWatch logs every execution. X-Ray traces every call. You’re not staring at a visual editor hoping to find the red dot.
You Don’t Own What You Build
Every workflow you create on Make.com lives on Make.com’s infrastructure. You can export scenarios, but what you get back isn’t code you can run elsewhere. It doesn’t work on n8n, Zapier, or any other platform. If you want to leave, you rebuild from scratch.
That dependency compounds over time. As you automate more of your business, more of your operations become encoded in Make.com’s proprietary format. That code is invisible to any engineer you might hire, untestable with standard tools, and entirely dependent on Make.com staying solvent, keeping prices stable, and not changing their platform in ways that break your workflows.
All your API credentials and OAuth tokens sit in Make.com’s shared infrastructure. You have no control over how those are stored, rotated, or protected.
On AWS, your Step Functions state machines are JSON files in your repo and your Lambda functions are code you own. Credentials live in AWS Secrets Manager with keys you control in KMS. If you decide to migrate, or an engineer joins your team, or you get acquired and someone does due diligence, everything is there: readable, testable, and portable.
Compliance Will Catch Up With You
Most businesses don’t think about compliance until they have to. Then they find out Make.com has no published Business Associate Agreement process, which means any workflow touching healthcare data sits in legally ambiguous territory. PCI DSS Level 1 certification isn’t documented. FedRAMP doesn’t apply; make.com isn’t eligible for government procurement.
Make.com’s execution history isn’t a real audit log. You can’t export it to a SIEM or query it programmatically. When a regulator or enterprise customer asks for proof of who accessed what data, when, and through what process, a screenshot of the UI history screen won’t satisfy that request.
AWS signs Business Associate Agreements. Lambda, SQS, EventBridge, and Step Functions are all HIPAA-eligible and in scope for SOC 2 Type II, PCI DSS Level 1, FedRAMP High via GovCloud, and ISO 27001. CloudTrail captures every API call: immutable, queryable, and exportable to any SIEM. Lambda runs inside your VPC. Data at rest is encrypted with keys you manage in KMS. For healthcare, financial services, government contracting, or any business that will face a compliance audit, these aren’t nice-to-haves.
The Case for Make.com (and Where It Ends)
Make.com works well for something genuinely simple: low-frequency SaaS glue where a non-technical team needs to connect Slack to Google Sheets without touching code. If your automation runs a few hundred times a month and handles no sensitive data, AWS infrastructure overhead probably isn’t worth it.
The crossover point is lower than most people expect. Once you’re processing thousands of records per day, handling customer data, needing any audit trail, or building automation that’s revenue-critical, AWS pays for itself before the month is over.
Lambda executes your functions. Step Functions orchestrates them with native branching, retries, parallel processing, and support for workflows up to a year long. EventBridge routes events without polling. SQS queues messages reliably when downstream services are slow or temporarily unavailable. All four have permanent free tiers. If your team already has engineers, you’re paying for the capability to build this. The question is whether you keep paying Make.com’s credit bill on top of it.
The Honest Trade-off
Make.com costs less to start, and AWS costs less to scale. They cross somewhere around 50,000 credits per month, a volume that a single moderately active webhook can hit in a few days.
Before you build critical business logic on a per-credit billing model with no version control and no local testing, you should know what you’re actually signing up for and what it’ll cost when it works.