Both are excellent, and for typical small-business workloads the technical differences matter less than three practical ones: AWS has the broadest service catalogue and by far the biggest talent pool; Google Cloud has simpler pricing with automatic discounts and more generous startup credits; and your team's existing knowledge usually outweighs both. Decide on simplicity, credits, and who will manage it — not on feature lists.
What a small business actually uses, the side-by-side comparison, when AWS wins, when Google Cloud wins, the traps that inflate both bills, and FAQs — in that order.
What a small business actually uses
Ignore the 200-service catalogues. A typical small business on either cloud uses five things: compute (a virtual server for the website or app), managed database (PostgreSQL/MySQL without managing it yourself), object storage (S3 / Cloud Storage for files, backups, media), a CDN (CloudFront / Cloud CDN for speed), and backups and monitoring. Both providers do all five well, and at small scale the monthly difference is tens of dollars, not hundreds. The comparisons that matter are therefore not about raw capability — both clear that bar — but about free tiers, discount models, startup credits, support costs, and how much expertise each demands from your team.
AWS vs Google Cloud, side by side
| Decision point | AWS | Google Cloud |
|---|---|---|
| Service breadth | Broadest catalogue; a service for everything | Narrower but covers all common needs deeply |
| New-customer free tier | 12-month free tier (EC2, S3, RDS limits) | $300 credit for new customers |
| Comparable VM price | ~$0.20/hour (4 vCPU / 16 GB) | ~$0.19/hour — within a few percent |
| Discount model | Savings Plans up to 66–72% — needs commitment + planning | Sustained-use discounts up to 30% — automatic, no commitment |
| Startup credits (2026) | Up to $200,000 via AWS Activate | Up to $350,000 via Google for Startups (AI startups) |
| Talent pool | Largest — ~43% of developers use it (SO survey 2025) | Smaller but growing |
| Simple hosting path | Lightsail from $3.50/month, predictable | Cloud Run — deploy containers, no server management |
Figures from 2026 practitioner comparisons (qovery.com, 2026; techsy.io, 2026); startup credit tiers depend on eligibility, and self-serve amounts are far smaller than the headlines. Treat every number as indicative — run your own workload through both calculators before committing.
When AWS wins
AWS wins on ecosystem gravity. If your team already knows AWS, switching clouds to save a few percent is false economy — retraining costs dwarf the savings. If you need a specific AWS service with no good equivalent, the decision makes itself. Enterprise and government customers often expect AWS, which matters if your buyers run procurement checklists. And for the simplest small-business hosting, AWS Lightsail deserves mention: from $3.50/month it gives predictable virtual servers with one-click WordPress and a clean upgrade path to full AWS later — it hides AWS's complexity while keeping the door open (orthoplexsolutions.com, 2026). AWS also wins the free-tier breadth contest: 60+ always-free services and 100 GB/month free data transfer give experimenters more room than Google's credit window (techsy.io, 2026).
When Google Cloud wins
Google Cloud wins on simplicity and economics for small teams. AI and data workloads are its home turf: BigQuery (serverless data warehouse, pay per query, near-zero ops) and Vertex AI are genuinely superior for analytics and ML, and startup credits for AI companies run highest here. Small teams without DevOps benefit most: Cloud Run deploys containerised apps without server management, and GKE Autopilot is the most hands-off managed Kubernetes — Google provisions, scales and upgrades the nodes for you. Cost-sensitive steady workloads get sustained-use discounts automatically, up to 30%, with no Reserved Instances to plan and manage (qovery.com, 2026). And the startup maths is blunt: if you qualify for meaningful credits, Google's program stretches runway further than AWS's. For an MVP with limited budget and a small team wearing multiple hats, Google Cloud's combination of credits, per-second billing and low-ops services is hard to beat.
The traps that inflate both bills
Both clouds share the same failure modes, and small businesses hit all of them. Data transfer (egress) is the classic: moving data out to the internet costs around $0.09/GB on AWS, and a media-heavy site can rack up surprising egress before anyone looks. Idle resources — the test database nobody deleted, the oversized VM from launch week — bill 24/7 whether used or not. No billing alerts: set budget alerts on day one on both clouds; the five-minute setup prevents the horror-story invoice. Support costs: Google's Enhanced support starts around $500/month (techsy.io, 2026) — factor it if you will need hand-holding. Over-provisioning: start small and scale up; cloud makes resizing easy, which removes the only excuse for buying big "just in case." Review the bill monthly for the first two quarters — an hour with the cost explorer each month typically finds 15–30% in waste, which is the highest-paid hour in cloud management.
How to decide in one sitting
Run this fifteen-minute exercise with whoever will manage the cloud. First, list your actual workloads — the five services from the first section, nothing exotic. If the list fits on an index card, either cloud handles it and the decision is about price and people, not features. Second, check your team's experience: existing AWS knowledge is worth more than Google's pricing edge, and vice versa — retraining costs dwarf small monthly differences. Third, price your steady state in both calculators with realistic numbers (not the marketing examples), then apply the discount model honestly: Google's automatic sustained-use discount versus AWS Savings Plans only if you will actually commit for a year. Fourth, apply for startup credits on both — they are free money with a deadline, and the credits you qualify for can decide the first year outright. Finally, pick the simple path first: Lightsail or Cloud Run for initial hosting, full cloud services only as needs emerge. Revisit the decision annually — the right cloud at ten users is not necessarily the right one at a hundred, and both providers make migrating standard workloads manageable.
FAQ
Can we use both AWS and Google Cloud?
Yes, especially early: many startups burn Google credits for data/ML workloads while running the app layer on AWS (github.com multi-agent research comparison, 2026). Multi-cloud adds operational complexity, so consolidate onto one primary cloud once credits expire and the architecture stabilises.
Which is easier for a non-technical founder?
Neither raw console is founder-friendly — but the simple paths are: AWS Lightsail or Google Cloud Run both let a developer deploy without deep cloud expertise. The real answer is that a non-technical founder should not be managing either directly; the choice matters less than having one competent person responsible.
Will we get locked in?
Somewhat, on both. Proprietary services (BigQuery's SQL dialect, various AWS-only offerings) create switching costs, but standard workloads — VMs, managed Postgres, object storage, containers — migrate reasonably. Lock-in is a reason to prefer standard services where they suffice, not a reason to avoid cloud.
What about Microsoft Azure?
Azure makes most sense for organisations already deep in Microsoft technologies (Office 365, Active Directory, .NET) — its Hybrid Benefit for existing licence holders is unmatched. For a typical small business without that footprint, AWS vs Google Cloud is the more relevant contest.
Choosing a cloud or planning the move? Contact us — and read our cloud migration playbook before you start. For the tier below full cloud, see shared hosting vs VPS vs cloud.