“Hosting a CRM in the cloud” can mean very different things. At one end you rent virtual machines and run everything yourself. At the other, you subscribe to a finished product and never see a server. Between them sit platform services and managed hosting. Choosing among them is mostly a question of how much control you need versus how much operational responsibility you are willing to carry.

The Responsibility Spectrum

The cleanest way to compare hosting models is to ask who is responsible for each layer: physical facilities, hardware, virtualization, operating system, runtime, database, application, and your data and configuration. Cloud providers describe this as a shared responsibility model, and the exact boundary differs per service. Always check the provider’s current documentation for where its line sits.

As you move from infrastructure rental toward finished software, you hand more layers to someone else. You gain time and consistency, and you give up some control over versions, customization and cost structure.

The Four Common Models

Infrastructure as a service (IaaS). You rent virtual machines, networks and block storage, then install and run the CRM and its database yourself. You control nearly everything, including patching schedules and tuning, and you are responsible for nearly everything as well.

Platform as a service (PaaS). You deploy the CRM application onto managed runtimes and use managed databases, queues and caches. The provider patches the underlying operating systems and often handles scaling and failover mechanics. You still own the application, its configuration and its data.

Managed hosting. A specialist provider runs your chosen CRM stack for you, whether on public cloud or their own environment. You typically get operational support and defined service levels, with less day-to-day infrastructure work than IaaS but usually less flexibility than running it yourself.

Software as a service (SaaS). The vendor runs everything and you configure the product. Your concerns shift toward integration, data governance, access control and vendor management rather than servers.

A Comparison Table

Model	You control	Provider handles	Typical fit
IaaS	OS, database, application, tuning	Facilities, hardware, virtualization	Heavily customized or self-hosted CRM with a capable ops team
PaaS	Application, configuration, data	OS patching, runtime, managed services	Teams that want control of code without server upkeep
Managed hosting	Application choices, some configuration	Day-to-day operations per contract	Organizations lacking in-house infrastructure staff
SaaS	Configuration, data, integrations	Nearly the entire stack	Standard processes and a preference for low operational load

Factors That Should Drive the Decision

Customization depth. If your CRM needs custom code, unusual extensions or direct database access, SaaS may constrain you. If your processes fit a product’s standard model, the freedom of IaaS is mostly extra work.

Team capability. Be honest about who will patch the database at an inconvenient hour. A model that looks cheaper on paper becomes expensive if it relies on skills you do not have or cannot retain.

Compliance and data residency. Some obligations dictate where data may live and who may administer it. Requirements vary by jurisdiction and industry, so involve qualified legal and compliance professionals early, and confirm what each model can document.

Integration needs. Private network connectivity to on-premises systems, or tightly controlled data flows, may favor models where you control the network. Standard API-based integrations are comfortable almost anywhere.

Cost behavior. Models differ in how costs scale. Rented infrastructure bills for capacity you provision, platform services often bill for usage, and SaaS commonly bills per user. Model your own growth against each structure rather than relying on a headline rate, and check current provider pricing directly.

Exit options. Ask how you would leave. Can you export all data in a usable form? Are configurations portable? Lock-in is not always bad, but it should be a conscious choice.

A Hypothetical Example

Consider a regional distribution company with a small IT team of three. Their CRM is a lightly customized open-source platform with a few custom reports and an integration to their order system. They began on IaaS because it seemed flexible, but patching and backup verification consumed a disproportionate share of the team’s time. After reviewing their actual customization needs, they moved the database to a managed service and the application to a platform runtime, retaining control of their code and configuration. Their operations load dropped, and they kept the customizations that mattered. A larger team with deep infrastructure skills might have reasonably chosen differently.

Hidden Costs Worth Surfacing

Whatever you pick, list the activities that nobody budgets for: backup testing, certificate renewals, security patching, capacity reviews, access reviews, incident response and vendor upgrades. In IaaS these land on you. In SaaS many disappear, but new work appears around data governance and integration monitoring. The honest comparison is total effort and risk, not just the monthly invoice.

Decide in Stages

You do not need to pick a permanent answer. Many teams start with the model that minimizes operational burden, then move toward more control only if a real requirement appears. Starting with maximum control and later retreating is possible, but it often means unwinding custom setup that nobody documented.

Frequently Asked Questions

Is IaaS always the cheapest option? Not necessarily. Raw infrastructure can look inexpensive, but staff time for patching, monitoring and recovery counts toward the real cost.

Can we mix models? Yes. A common pattern is a managed database with self-managed application servers, or a SaaS CRM with self-hosted integration middleware. Mixing is fine if responsibilities are clearly assigned.

Does PaaS make us dependent on one provider? It can increase coupling to provider-specific services. Using standard database engines and containers reduces that coupling.

Who is responsible for data security in SaaS? Responsibility is shared. The vendor secures the platform, while you remain responsible for access controls, configuration, user management and the data you put in.

How often should we revisit the decision? Review it when your team, customizations, compliance obligations or growth change materially, and at least during major contract renewals.

Next Step

Write a one-page responsibility matrix listing each stack layer and who owns it today. Gaps and overloaded owners on that page will tell you which hosting model changes are worth exploring first.