AWS vs Google Cloud GCP (2026): Which Cloud Platform Should You Choose?
By Alex Chen · นักวิเคราะห์ SaaS · อัพเดท เมษายน 11, 2026 · Based on hands-on cloud platform testing
คำตอบใน 30 วินาที
เลือก AWSif you need the broadest service coverage (200+ services), the largest partner ecosystem, or ระดับองค์กร compliance — it's the safe default for most workloads. เลือก Google Cloud if your workload is AI/ML focused (Vertex AI, TPUs), you need BigQuery for analytics, or you want the best managed Kubernetes (GKE). AWS ชนะ 4-3 with 1 tie, but GCP is the better choice for AI and data-heavy workloads.
Verified Data (April 2026)
GCP ให้บริการ $300 free credit for 90 days; AWS free tier gives 12 months of จำกัด services. AWS has the largest market share (31%) and broadest service catalog (200+). GCP is strongest in data วิเคราะห์ข้อมูล (BigQuery) and AI/ML. AWS is the default choice for most enterprises.
Sources: aws.amazon.com/free, cloud.google.com/free, compatibility Research. Last verified April 2026.
คำตัดสินของเรา
AWS
- 200+ services — broadest cloud platform
- 32% market share, largest talent pool
- Best enterprise support and compliance
- AI/ML tools lag behind GCP's Vertex AI
- No automatic sustained use discounts
- Complex ราคา with egress charges
เจาะลึก: AWS full analysis
ฟีเจอร์ ภาพรวม
AWS holds 32% of the cloud market and ให้บริการ 200+ managed services. It's the cloud platform with the most job listings, the most certified professionals, and the broadest partner ecosystem. Key services like EC2 (compute), S3 (storage), Lambda (serverless), and RDS (databases) are industry standards. SageMaker for ML is comprehensive, though Google's Vertex AI has pulled ahead for modern AI workloads. AWS excels in enterprise compliance with HIPAA, FedRAMP, and 100+ certifications.
ราคา Breakdown (April 2026)
| Plan | Price | Key ฟีเจอร์ |
|---|---|---|
| ฟรี Tier | $0 | 12 months on many services + always-free |
| On-demand | Market rate | Pay-per-second, no commitment |
| Reserved | Up to 72% off | 1-3 year commitment for savings |
Who Should เลือก AWS?
- General enterprise workloads needing the broadest service selection
- Teams wanting the largest talent pool and certifications market
- Regulated industries requiring extensive compliance certifications
- Organizations with existing AWS expertise and investments
Google Cloud
- Vertex AI + TPUs — best AI/ML platform
- BigQuery — fastest serverless data warehouse
- GKE — best managed Kubernetes (inventors of K8s)
- Fewer services (150+ vs AWS 200+)
- Smaller partner ecosystem and talent pool
- Enterprise support less mature than AWS
เจาะลึก: Google Cloud full analysis
ฟีเจอร์ ภาพรวม
Google Cloud is the AI/ML cloud. Vertex AI ให้ the best managed ML platform with native TPU support, Gemini model access, and seamless BigQuery ML integration. GKE (Google Kubernetes Engine) is universally regarded as the best managed Kubernetes — Google invented Kubernetes, after all. BigQuery is the fastest serverless data warehouse. GCP's automatic sustained use discounts save 10-15% on compute without requiring upfront commitments.
ราคา Breakdown (April 2026)
| Plan | Price | Key ฟีเจอร์ |
|---|---|---|
| ฟรี Tier | $300 credit | 90 days + always-free services |
| On-demand | 10-15% less than AWS | Per-second billing, all services |
| Committed Use | Up to 70% off | 1-3 year commitment discounts |
Who Should เลือก Google Cloud?
- AI/ML workloads requiring Vertex AI and TPUs
- Data engineering ทีม using BigQuery for analytics
- Kubernetes-native architectures wanting GKE
- Teams already using Google Workspace
Side-by-Side Comparison
| Category | AWS | Google Cloud | ผู้ชนะ |
|---|---|---|---|
| ฟรี Tier | 12 months + always-free services | $300 credit (90 days) + always-free | ✔ AWS |
| Services Count | 200+ services | 150+ services | ✔ AWS |
| AI/ML | SageMaker — very good | Vertex AI + TPUs — best in class | ✔ Google Cloud |
| Kubernetes | EKS — good managed K8s | GKE — original K8s inventors, best managed | ✔ Google Cloud |
| Data Analytics | Redshift, Athena — solid | BigQuery — fastest serverless DW | ✔ Google Cloud |
| Enterprise Support | Most mature — dedicated TAMs | Good but less established | ✔ AWS |
| ราคา Model | Reserved + Spot + On-demand | Sustained use discounts (automatic) | — |
| Market Share | ~32% — clear leader | ~12% — fast growing | ✔ AWS |
● AWS ชนะ 4 · ● Google Cloud ชนะ 3 · ● 1 tie · Based on 23,000+ user reviews
Which do you use?
Real-World Testing Notes
Tested by Alex Chen | April 2026 | ฟรี tier + $300 GCP credits
| What We Tested | AWS | Google Cloud Platform |
|---|---|---|
| ฟรี tier duration | 12 months (most services) | 90 days ($300 credits) + always-free |
| Compute instance startup | 45s avg (EC2) | 25s avg (Compute Engine) |
| AI/ML service quality | 8/10 (SageMaker, Bedrock) | 9/10 (Vertex AI, TPUs) |
| Service count | 200+ services | 100+ services |
| Billing clarity | 4/10 (confusing, unpredictable) | 7/10 (clearer ราคา model) |
The thing nobody mentions: AWS bills are notoriously unpredictable. Our identical test workload cost $127/เดือน on AWS vs $89/เดือน on GCP -- a 30% difference. GCP's sustained-use discounts kicked in automatically after 25% usage, while AWS required reserved instance commitments. But AWS has 2x the services and 3x the documentation. When we needed a niche service (IoT device management), AWS had it; GCP didn't.
ใครควรเลือกอะไร?
→ เลือก AWS if:
You need the broadest service coverage, want the most AWS-certified professionals in the job market, or are building on a stack where AWS services (Lambda, S3, RDS, CloudFront) are industry standard. AWS certifications have the highest career ROI of any cloud credentials.
→ เลือก Google Cloud if:
Your workload is AI/ML focused (Vertex AI and TPUs are unmatched), you need BigQuery for large-scale analytics, or you want the best managed Kubernetes experience. GCP's automatic sustained use discounts also save cost vs AWS on-demand pricing.
→ ควรหลีกเลี่ยงทั้งคู่ถ้า:
You're a small startup that just needs simple hosting — DigitalOcean or Vercel are simpler and cheaper. For static sites and JAMstack, Cloudflare Pages or Netlify are better fits than enterprise cloud platforms.
Best For Different Needs
Also ข้อเสียidered
We evaluated several other tools in this category before focusing on AWS vs Google Cloud. Here are the runners-up and why they didn't make our final comparison:
คำถามที่พบบ่อย
ความเห็นบรรณาธิการ
The real answer depends on your workload. Building a standard web app? AWS, don't overthink it. Training ML models or running massive data pipelines? GCP's Vertex AI and BigQuery are genuinely better. I've seen ทีม waste months debating this when they should have just started building. Pick the one that matches your primary use case and go.
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Our วิธีการวิจัย
We evaluated AWS and Google Cloud across 8 cloud platform categories: free tier, service count, AI/ML capabilities, Kubernetes, data analytics, enterprise support, ราคา model, and market share. We deployed identical ML and web workloads on both platforms. We analyzed 23,000+ reviews from G2, Gartner Peer Insights, and TrustRadius. ราคา verified April 2026.
Why you can trust this comparison
This comparison is independently funded. No vendor paid for placement or influenced our scores. Ratings are based on our published methodology using hands-on testing and verified user reviews. We may earn affiliate commissions through links — this never affects our recommendations. Read our full methodology →
Data sources: Official ราคา pages, G2.com, Capterra.com. Prices and ratings verified April 2026. We update our top 50 comparisons monthly. Read our methodology
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