IaaS, SaaS, PaaS or a Power of Three? Selecting the Best-Suited Cloud Model

Starting from Basic Comparison of Cloud Models

To have a better understanding of these three cloud computing delivery models, let’s consider a simple example. For instance, you need transportation and have three options to select from: your personal car, a rented one, or a car with a driver.

The same principle applies to the IaaS model. It’s the most basic and popular option offered by cloud providers. By selecting this one, you rent a set of infrastructure components, needed to maintain your application. These are cloud storage, data centers, servers — put simply, the entire infrastructure your software can’t function without.

Within the space, you are free to install the operational system and databases, all that’s required from you —- is to maintain it in working condition. Yes, this model implies that the provider leases all necessary tools, while design and deployment are your full responsibility. Meanwhile, this option offers the highest level of flexibility.

With the PaaS model, you receive a ready-made platform, which you can use to develop and deploy your application. While servers, databases, and care about timely updates is your cloud provider’s task to tackle.

If you need to concentrate on the code only, without distractions at infrastructure maintenance, this option is right for you. Upload the code, and the platform will do everything for you: database connection, server fine-tuning, and application function monitoring.

Opting for SaaS, you use a ready-made application via a browser. You don’t need to deal with complex configurations and maintenance. From here stems the fact that you don’t have to employ a team of DevOps professionals, and all hassles related to infrastructure orchestration lie on your provider. Sounds great, isn’t it? However, there’s one thing to keep in mind: this pleasure is far from cheap.

Good Choice: What Does It Depend on?

Predictable, but as always, disappointing answer: it depends. Here, it’s built on your project type, goals, resources, and responsibility you are ready to take on yourself.

The scale of your business plays a key role, too. For example, if you’re just starting out, it’s likely you’re working with a limited budget and trying to manage everything on your own. In this case, IaaS often becomes the go-to option — it gives you flexibility and control while keeping costs relatively manageable if you have the technical know-how.

As the business grows and your team and budget expand, so do your priorities. You may not want to spend time managing servers or worrying about infrastructure updates. Instead, you’d rather focus on building product features and delivering value to your users. That’s when PaaS becomes a smarter choice — offloading operational tasks while still giving developers the opportunity to concentrate on code quality.

And finally, when your operations are large-scale and standardized, and you’re looking for maximum simplicity, reliability, and minimal maintenance effort — SaaS becomes the natural step. With everything managed for you, you can focus purely on your business without worrying about the tech stack behind it.

Transferring from One Model to Another — Why and How?

From the previous paragraph, we might conclude that going with IaaS is the only wise option to start with. However, it’s not that straightforward, and starting from SaaS might be the most rational and reasonable path to take.

Why so? Because it might be a great opportunity to test the waters in a smart way. By using a ready-made SaaS solution, you can validate your business model, explore your product-market fit, and get clarity on what you actually need in terms of infrastructure. It’s a safe, stable, and fully managed environment that frees you to focus on your product and customers — not the plumbing behind it.

And here’s the hidden benefit: through real-world usage, you’ll gain insights into your actual resource consumption, preferred feature set, and hardware requirements. This knowledge can later guide you in switching to PaaS or IaaS, if or when the time is right. Sure thing, if hiring a seasoned team of DevOps engineers would turn out to be cheaper than paying for the SaaS model.

Dive into SaaS Pricing Models and Strategies

Risky and Not Easy. The Realities of the Transferring Process

If you think that switching to another cloud always goes safely and smoothly, this assumption is far from the truth. The transferring period is quite complex, resource-intensive, and holds security risks. Let’s review some of the most pressing pain points of cloud delivery model transfer below.

Codebase Goes Obsolete

Let’s say you’ve been running a stable business for over a decade, managing your infrastructure through an IaaS model and relying on a perfectly functional, yet outdated, database like PostgreSQL 10. If you decide to move to a SaaS environment, keep in mind: your current database version likely won’t be supported. You’ll have no other choice than to migrate your data to a more modern version offered by the provider.

At first glance, this might not seem like a big deal. You get access to the latest tech, right? But in practice, moving your data isn’t always smooth.

If your database is small and simple, your provider might be able to handle the upgrade automatically. But for large, complex systems holding terabytes of data, things get tricky. Automatic migration becomes unfeasible, and you’re looking at a full-scale, manual migration project.

To manage such complexity and minimize downtime, many teams engage cloud development services to re-architect applications and execute controlled data migrations.

That means high costs, architectural considerations, downtime risks, and the need for experienced specialists to pull it off correctly. So while SaaS adoption has many advantages, database migration is a challenge that must not be underestimated, especially if we speak about legacy systems.

Security-Related Issues

Manual database migration often requires direct access to production environments, administrative credentials, data export/import operations, and intermediate storage. Each step reveals potential vulnerabilities, whether it’s through improper handling of credentials, temporary storage of sensitive data in unprotected environments, or simple mistakes during data transformation. Even experienced teams are not immune to misconfigurations or overlooked security policies under tight deadlines and complex data structures.

Moreover, during manual migration, it’s common to involve third-party tools or temporary external systems for data validation, which further expands the attack surface. If these tools or environments are not properly vetted, your sensitive business information could be unintentionally exposed.

You might reasonably ask: Why should I migrate my data to SaaS storage if my current setup works fine and migration itself involves risks? The key reason lies in the superior security architecture provided by modern SaaS platforms.

Explore the main SaaS Security Risks

Unlike traditional storage, SaaS solutions offer a highly secure, isolated environment designed so that not even the provider can access your data. You’re essentially given a virtual machine where you define the configuration: processors, memory, storage — and this infrastructure is distributed across multiple geographic locations. This distribution enhances both fault tolerance and data protection.

Moreover, the storage is encrypted and fragmented in such a way that even if someone were to gain physical access to a disk, it would appear as meaningless data. The provider doesn’t know what data belongs to whom, and even in the rare event of a breach at their level, there’s virtually no risk of identifiable data being exposed.

Find out how to ensure Bullet-Proof Protection for Cloud Application Security

Take the Most Out of Hybrid Model. Real-Life Example of Our Client

Each type of cloud service model, be it IaaS, PaaS, or SaaS, has its strengths and limitations, which often makes the selection process challenging. But the good news is, you don’t have to choose just one. In fact, combining multiple cloud delivery models to create a hybrid architecture can be a much more strategic and cost-effective approach, depending on your business needs.

Discover more about Cloud Cost Optimization

One of our clients, a long-established customs bond service provider, faced this exact dilemma. They had been operating a legacy system hosted on on-premises servers for years. To modernize their infrastructure, reduce the maintenance burden, and support future scalability, they partnered with Velvetech to lead their cloud migration initiative — leveraging our cloud migration services — and recommended a hybrid model,demonstrating end‑to‑end managed IT services provider expertise via our approach to secure, cost‑efficient infrastructure.

Here’s how their architecture works:

• IaaS handles light day-to-day operations, giving them control and flexibility without the cost of overprovisioned services.
• SaaS is used for resource-intensive tasks, such as processing a continuous flow of customs revenue messages, leveraging its scalability and performance.
• When incoming data includes malformed symbols or low-quality scanned documents, PaaS steps in for efficient pre-processing and error handling.

This hybrid approach ensures a well-balanced use of resources, avoids overloading their main infrastructure, and delivers both cost savings and performance efficiency.

Read how we conducted Cloud Migration for a Customs Bond Service Provider

Conclusion

Handling service models of cloud computing smartly opens the door to scalability, flexibility, and long-term savings — but only if approached strategically and in alignment with your business’s unique needs.

Not sure whether a SaaS model, PaaS, IaaS, or a combo of the three is right for you? We’re here to help you not to get lost in the abundance of cloud services and help you make a choice that’s both effective and cost-efficient. Get in touch with us, and we’ll help you navigate the cloud with confidence!