AWS Cloud vs Google Cloud: Best Tech Stack for SG

Singapore businesses rarely struggle with infra availability. Both AWS and Google Cloud operate full regions inside the country, with MTCS Level 3 security certification and MAS TRM-aligned whitepapers. The real decision is not “which cloud is better” but which stack fits the specific way your backend is written, your traffic flows into Indonesia/Malaysia, and your finance team’s appetite for SGD-based billing complexity.

Data Center Reality: Three AZs in Singapore

AWS launched `ap-southeast-1` in 2010 with three availability zones. Google’s `asia-southeast-1` went live in 2017, also with three zones. For any workload served to end users sitting in Raffles Place, Jurong East, or across the Causeway in KL, the RTT to either region is identical: 1-3ms within Singapore, 25-35ms from Kuala Lumpur over the cross-border link.

The DR story differs though. AWS’s closest disaster recovery region is Jakarta (`ap-southeast-3`, launched 2022), giving you sub-50ms async replication for critical VPCs. Google’s nearest failover is the Mumbai region (`asia-south1`), which is a 70ms+ hop with no dedicated private link unless you buy a cross-region interconnect. If your compliance team demands a DR site within Southeast Asia, AWS has the geographic advantage today.

Interconnect Options: Direct Connect vs Cloud Interconnect

For an on-prem office in Singapore, AWS Direct Connect and Google Cloud Interconnect both terminate inside Equinix SG1 and SG2. AWS gives you 1Gbps and 10Gbps dedicated ports, with partner circuits from Singtel CloudConnect and Megaport. Google offers Dedicated Interconnect up to 100Gbps and Partner Interconnect via Singtel, StarHub, and Equinix Fabric.

There is a notable operational trap: AWS Direct Connect requires a separate private VIF for each VPC you attach. Google’s Interconnect can advertise VLAN attachments across multiple VPCs from a single interconnect without extra virtual interface fees. For a company running three production VPCs and a CI/CD VPC, the Google model removes around SGD 1,200/month in wasted VIF charges.

Kubernetes and Serverless: EKS vs GKE

If your platform team manages Kubernetes in production, Google Cloud wins on default ergonomics. GKE Standard has no per-cluster control-plane fee; AWS EKS charges USD 0.10 per cluster per hour (approx SGD 150 per cluster-month). Run five clusters in EKS and you burn SGD 750/month before any node is provisioned. GKE Autopilot also gives you node-pool right-sizing for Arm and Spot instances that EKS users must configure manually with Karpenter.

For serverless, AWS Lambda in `ap-southeast-1` scales to memory sizes up to 10GB, which fits Singapore’s common Python-based payment reconciliation jobs. Google’s Cloud Functions 2nd gen caps at 8GiB but integrates natively with Eventarc and Pub/Sub, which is a cleaner path if your stack already emits domain events from a GKE service mesh.

Data Analytics and SQL: BigQuery vs Redshift

The data layer is where Google Cloud pulls ahead decisively. BigQuery in `asia-southeast-1` is serverless, so your Singapore BI team queries terabyte-scale tables without babysitting cluster resizing. AWS Redshift in `ap-southeast-1` requires provisioned RA3 nodes and manual workload management; you need a dedicated DBA to handle concurrency queues for your sales dashboard and your nightly AML batch job.

For MAS-regulated fintechs, BigQuery’s time-travel feature and column-level security are directly mapped to audit requirements, cutting about two weeks of hardening work during an external security review. Redshift is cheaper per terabyte if you have a full-time DBA team and predictable nightly ETL windows; otherwise, the engineering hours you lose to vacuum and sort-key tuning will exceed the list-price savings.

Cost and Billing in SGD: Commit Tables and Egress Fees

Here is where the two clouds diverge hard for a Singapore-incorporated company. AWS publishes prices in USD and invoices in USD by default; you can set a local-currency preference, but the conversion is applied at monthly close, so your finance team forecasts with FX noise. Google Cloud lets you set SGD as the billing currency in the console directly, which is materially easier for GST filing and P&L mapping.

Egress fees are the second pivot. AWS charges USD 0.09/GB for the first 10TB transferred to the internet from `ap-southeast-1`. Google charges USD 0.12/GB from `asia-southeast-1`. For a typical SaaS pushing 8TB of API responses per month, that difference is about SGD 32 monthly, negligible. But if your stack streams video thumbnails or model inference payloads at 50TB+ per month, AWS saves you around SGD 500 monthly in bandwidth alone.

Committing to either platform flips the math again. AWS Savings Plans give 20-30% off EC2 and EKS compute when you commit 1-year. Google’s Committed Use Discounts on custom machine types reach 55-70%, which is attractive if you run GKE nodes with bespoke CPU-to-memory ratios. On a steady 32-core production cluster, the Google CUD model typically undercuts AWS by 15% on a 3-year commitment.