Tag: SaaS

Most founders ask “should I build or buy?” The real question is “what am I actually responsible for?” That’s the difference between SaaS, PaaS, and IaaS. When it comes to SaaS vs PaaS vs IaaS explained for founders, the core distinction is simple. SaaS means someone else runs the entire application — you just use it. PaaS gives you a platform to build on without managing servers. IaaS hands you raw infrastructure and you handle the rest. The model you choose determines how much you build, how much you spend, and how fast you can ship.

This guide explains what each model actually means, what you control in each one, and which one makes sense for your situation. No vendor pitches. No buzzwords. Just the technical reality of what you’re signing up for.

SaaS vs PaaS vs IaaS Explained for Founders: What Each Model Actually Means

SaaS — Software as a Service

You use an application someone else built and hosts. Gmail, Slack, HubSpot, Zoom — all SaaS. You sign up, log in, and use the software. You don’t touch the code. You don’t manage the servers. You don’t handle updates. The vendor does all of it.

Control: you configure settings within what the application allows. Responsibility: paying the subscription and using it correctly. Everything else — uptime, security patches, new features, backups — is the vendor’s problem.

PaaS — Platform as a Service

You build your application on a platform someone else manages. Heroku, Vercel, Supabase, Railway — all PaaS. You write the code and deploy it. The platform handles the servers, scaling, databases, and runtime environment. You don’t provision virtual machines or configure load balancers.

Control: you own the application logic and can customise everything in your codebase. Responsibility: you write and maintain the code. The platform handles infrastructure, OS updates, and availability.

IaaS — Infrastructure as a Service

You rent raw computing resources and build everything on top. AWS EC2, Google Compute Engine, Azure Virtual Machines — all IaaS. You get virtual servers, storage, and networking. You install the operating system, configure the environment, deploy your application, and manage the entire stack.

Control: total. You can configure anything. Responsibility: also total. If the server goes down, you fix it. If a security patch is needed, you apply it. If traffic spikes, you scale it.

What You Control in Each Model

The core difference is the responsibility line. Here’s what you manage versus what the provider manages in each model.

SaaS Responsibility

You manage: user accounts, permissions, your data, integrations with other tools. The vendor manages: application code, servers, databases, security patches, uptime, backups, everything else. You have the least control and the least responsibility.

PaaS Responsibility

You manage: application code, data models, API integrations, deployment configuration. The vendor manages: servers, operating system, runtime environment, scaling infrastructure, database hosting. You control the product. They control the platform it runs on.

IaaS Responsibility

You manage: operating system, application runtime, code, databases, security configuration, scaling, monitoring, backups. The vendor manages: physical servers, networking hardware, data centre operations. You control nearly everything above the hardware layer.

According to Gartner, by 2025 over 85% of organisations will adopt a cloud-first principle, with PaaS adoption growing faster than IaaS as teams prioritise speed over control.

The more control you want, the more you’re responsible for. Most founders underestimate what “responsible for” actually means — it means someone on your team needs to know how to fix it when it breaks at 2am.

Pros and Cons of Each Cloud Service Model

SaaS Advantages

Fast to start — sign up and you’re running in minutes. No technical team required. Predictable monthly cost. Updates happen automatically. Support is included. Works well for standard business functions like CRM, email, project management, accounting.

The downside: zero customisation beyond settings. You’re locked into the vendor’s feature set and roadmap. Data portability is often difficult. Costs scale with users or usage, and switching tools later means migration pain.

PaaS Advantages

You build exactly what you need without managing infrastructure. Faster than IaaS because the platform handles servers, scaling, and deployment pipelines. Good for MVP development when you want to validate an idea without hiring a DevOps engineer.

The downside: less control than IaaS. You’re constrained by what the platform supports. Vendor lock-in is real — migrating off Heroku or Vercel means reworking deployment configuration. Costs can spike as you scale, especially with database and bandwidth usage.

IaaS Advantages

Total control. You can configure the stack exactly how you want it. No platform limitations. You can optimise costs by choosing instance types and managing resources directly. Good for complex applications with specific performance or compliance requirements.

The downside: you’re responsible for everything. That means a team member who knows how to configure servers, apply security patches, set up monitoring, and handle incidents. Slower to ship because you’re building infrastructure alongside the product. Higher operational overhead.

Which Cloud Model Makes Sense for Founders

The right model depends on what you’re building, how technical your team is, and how much runway you have. Here’s the honest breakdown.

Use SaaS When

You need standard business software and customisation isn’t critical. CRM, email marketing, accounting, project management — all better as SaaS unless you have a very specific workflow requirement. Don’t build what you can buy if the existing tool does 90% of what you need.

Use PaaS When

You’re building a custom product and want to ship fast without managing servers. Most SaaS products we build for founders start on PaaS — Next.js on Vercel, backend on Supabase or Railway. You get to production in weeks, not months, because the infrastructure is handled.

PaaS is the default choice for early-stage founders who need to validate product-market fit before worrying about infrastructure optimisation. At Inqodo, most MVPs we ship are PaaS-based because speed matters more than cost efficiency at the validation stage.

Use IaaS When

You have complex infrastructure needs, specific compliance requirements, or you’ve outgrown PaaS pricing. If you’re processing sensitive data with strict regulatory requirements, IaaS gives you the control to configure everything to spec. If your PaaS bill is £5,000/month and a DevOps engineer could optimise it to £1,500 on IaaS, the math changes.

But IaaS is rarely the right choice for a pre-revenue startup. The operational overhead is real, and the time spent managing infrastructure is time not spent talking to users.

Cost Comparison for Startups

Pricing models differ significantly. SaaS is per-user or per-feature. PaaS is usage-based — compute, storage, bandwidth. IaaS is resource-based — you pay for the virtual machines and storage you provision, whether you use them or not.

SaaS Costs

Predictable but scales with users. A CRM might cost £50/month for 5 users, £200/month for 20 users. Easy to budget. The cost grows with your team, which is fine until you’re paying £10,000/year for a tool you use twice a week.

PaaS Costs

Usage-based. A small MVP might cost £20–£50/month on Vercel and Supabase. As traffic grows, costs grow. A product with 10,000 active users might cost £300–£800/month depending on database queries, API calls, and bandwidth. The advantage: you only pay for what you use. The risk: unpredictable spikes if traffic surges.

Our SaaS cost calculator helps founders estimate build costs, but runtime costs depend on your usage patterns. Most founders underestimate database costs — Supabase or Planetscale pricing scales with read/write operations, not just storage.

IaaS Costs

Fixed resource costs. An AWS EC2 instance might cost £30/month whether you use 10% or 100% of its capacity. More predictable than PaaS once you know your baseline, but requires active management to avoid waste. Founders often overprovision “just in case” and pay for unused capacity.

If you’re pre-revenue, PaaS is almost always cheaper because you’re not paying for idle resources. Once you’re at scale, IaaS can be more cost-efficient if you have someone optimising it. For advice on reducing costs as you grow, see our guide on how to reduce SaaS costs.

Migration Paths and Vendor Lock-In

Switching models later is possible but not trivial. Moving from SaaS to custom software means rebuilding workflows and migrating data. Moving from PaaS to IaaS means rewriting deployment scripts and infrastructure configuration. Moving from IaaS to PaaS means trusting a platform to handle what you previously controlled.

Escaping SaaS

If you’re locked into a SaaS tool that no longer fits, the path out is custom software development. You export your data, map your workflows, and build a replacement. This makes sense when the SaaS tool costs more than building and maintaining your own version, or when you need features the vendor won’t build.

Moving Between PaaS Providers

Easier than IaaS migration but still requires work. Moving from Heroku to Railway means updating deployment configuration. Moving from Vercel to Netlify means adjusting build settings. The application code usually stays the same, but the infrastructure-as-code layer needs rewriting.

PaaS to IaaS Migration

Common when costs justify the operational overhead. You provision EC2 instances, configure the environment, set up CI/CD pipelines, and migrate your database. The code stays the same, but you’re now responsible for uptime, scaling, and security patches. Only worth it if the cost savings or control requirements are significant.

Most founders wait too long to migrate off expensive PaaS and then panic when the bill hits £3,000/month. The right time to think about IaaS is when your PaaS bill consistently exceeds what a DevOps engineer would cost to manage IaaS — usually around £2,000–£3,000/month in platform costs.

AI Integration in SaaS, PaaS, and IaaS in 2026

AI is changing what each model offers. SaaS tools now embed AI features — Gmail suggests replies, HubSpot scores leads, Notion summarises notes. You get AI capabilities without building anything, but you can’t customise the models or control the data flow.

PaaS providers are adding AI infrastructure. Vercel offers edge functions optimised for AI inference. Supabase integrates vector storage for semantic search. Railway supports GPU instances for model hosting. This means you can build AI-powered products on PaaS without managing the underlying ML infrastructure.

IaaS gives you full control over AI models. You can deploy custom models, fine-tune them on your data, and optimise inference costs. AWS SageMaker, Google Vertex AI, Azure ML — all IaaS-based. You get flexibility, but you’re responsible for model deployment, scaling, and monitoring.

For founders building AI SaaS products, PaaS is usually the right starting point. You can integrate OpenAI or Anthropic APIs, validate the product, and migrate to self-hosted models later if cost or control becomes critical. We covered this in depth in our post on whether SaaS is being replaced by AI.

Frequently Asked Questions

Ready to Get Started?

Most founders spend too long deciding between SaaS, PaaS, and IaaS when the real question is “what’s the fastest way to validate this idea?” If you’re building a custom product, PaaS is almost always the right starting point. You can migrate later if you need to.

We build SaaS and AI SaaS products for founders who want to ship fast without compromising on quality. Most MVPs take 4–6 weeks and start from $2,000. We scope the project in the first conversation, price it honestly, and tell you if we think something won’t work before we take a penny.

If you’re trying to figure out what to build and how much it’ll cost, get in touch with Inqodo. We’ll tell you the truth, even if the truth is that you don’t need us yet.