AWS or Google Cloud for Commercial and Multifamily Property Systems

Rent due dates and maintenance request spikes concentrate traffic into predictable windows, and a portal outage on the first of the month generates a flood of frustrated calls to your leasing office. Size your availability target specifically around those predictable peak windows rather than an average-day traffic estimate, since a portal that's fine most days but struggles on the first of the month is failing at the exact moment it matters most¹.

Rent payments running through your portal carry some of the same considerations as any payment flow: keep raw card data out of your own systems where possible by using a processor's tokenized fields, and treat any change to the payment flow with the same rollback discipline you'd want a fintech to have, even though your transaction volume is smaller.

If you're pulling in occupancy, HVAC or energy data from building sensors across a portfolio, both platforms offer IoT ingestion and time-series storage suited to it, but the practical fit often follows whatever building management system vendor you already use. Check what your existing building management platform natively supports before assuming either cloud, since a native integration saves real engineering time over a custom one.

With the 10-year Treasury yield near 4.44%, the cost of capital for a larger capitalized infrastructure buildout is a real input into whether treating cloud spend as a straightforward operating expense makes more sense than a bigger upfront investment². This isn't a reason to pick AWS over Google Cloud specifically, but it is a reason to favor predictable, usage-based pricing over a large upfront commitment while financing conditions are part of the broader capital plan.

Both platforms support the tenant portal, payment and sensor use cases well. The real differentiators are which platform your existing property management software vendor integrates with more cleanly, whether your portfolio spans regions with different data residency expectations, and which platform your IT team, even a small one, already knows. None of these are dramatic differences, which is itself useful information: this is a decision you can make once and move on from.

The real differences come down to these questions:

• Which platform does your existing property management software vendor integrate with more cleanly?
• Does your portfolio span regions with different data residency expectations?
• Which platform does your IT team, even a small one, already know?
• What does your building management platform natively support for sensor data, before you assume either cloud?

A regional or national property management company holds tenant personal and financial data across jurisdictions that may have different notice and data handling expectations, and this is a legal question worth confirming with counsel rather than inferring from a cloud vendor's general compliance claims. Ask your attorney which specific requirements apply to the states where you actually operate, since requirements can differ meaningfully by jurisdiction and change over time.

Keep a simple internal record of which tenant data lives where and under what retention policy, portfolio-wide, so answering a tenant's data request or a regulator's question is a lookup rather than an investigation across a dozen property-level systems.

Portfolios change: a new acquisition needs onboarding into the tenant portal and payment systems quickly, and a sold property needs its data handled correctly, whether that's a clean handoff to the new owner or a defined retention and deletion process on your end. Build a repeatable onboarding and offboarding checklist for properties rather than treating each one as a custom project, since a manual, ad hoc process is where data gets left behind or duplicated across systems.

Assign a specific owner for this checklist so it doesn't quietly become nobody's job during a busy acquisition quarter. A rushed, undocumented property onboarding is a common source of the kind of small data errors that eventually turn into a tenant complaint or a compliance question.

Test the checklist on a small, low-stakes property before relying on it for a large acquisition, so any gaps surface on something manageable rather than during the busiest, highest-pressure onboarding your portfolio has seen all year, when there's the least room to absorb a mistake.

Update the checklist itself every time a real onboarding surfaces something it missed, rather than treating the first version as final. A checklist that never changes is usually a sign nobody's actually following it closely enough to notice the gaps.