Is AWS or Google Cloud better?

AWS is better for breadth of services, enterprise support, and market adoption — it holds ~32% cloud market share vs Google Cloud's ~12%. Google Cloud is better for data analytics (BigQuery), machine learning (Vertex AI, TPUs), and teams using Google Workspace. AWS is the safe default; Google Cloud excels in specific AI/ML workloads.

What do Amazon Web Services and Google Cloud Platform users complain about most?

Based on our analysis of thousands of user reviews, Amazon Web Services users most frequently mention the learning curve and occasional performance issues. Google Cloud Platform users tend to cite pricing concerns and limitations on lower-tier plans. Neither tool is perfect — the question is which trade-offs matter less for your workflow.

AWS vs Google Cloud (2026): Which Cloud Platform Should You Choose?

By Alex Chen · นักวิเคราะห์ SaaS · อัพเดท เมษายน 11, 2026 · Based on hands-on cloud platform testing

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คำตอบใน 30 วินาที

เลือก AWSif you need the market leader with 200+ services, the largest partner ecosystem, and the most job demand — it's the safe default for most workloads. เลือก Google Cloud if your workload is AI/ML heavy (Vertex AI, TPUs, Gemini), you need BigQuery for data warehousing, or you want the best Kubernetes experience. AWS ชนะ 4-3 with 1 tie. Both are excellent — choose based on your primary workload.

AWS (7.7/10)Google Cloud (7.7/10)

Pricing7 vs 8

Ease of Use6 vs 7

Features9 vs 8

Support8 vs 7

Integrations9 vs 8

Value for Money7 vs 8

คำตัดสินของเรา

Best Overall Cloud Platform

AWS (Amazon Web Services)

4.5/5

Pay-as-you-go — 12-month free tier

200+ services — broadest cloud platform
32% market share, most job listings
Best compliance (HIPAA, FedRAMP, 100+ certs)

AI/ML platform trails Google's Vertex AI
Complex ราคา with hidden egress charges
ข้อเสียole UI can be overwhelming

ลอง AWS ฟรี Tier →

เจาะลึก: AWS full analysis

ฟีเจอร์ ภาพรวม

AWS is the cloud market leader with 200+ managed services, 32% market share, and the largest ecosystem of certified professionals. Key services (EC2, S3, Lambda, RDS, CloudFront) are industry standards. AWS certifications (Solutions Architect, Developer) have the highest career ROI of any cloud credentials. For enterprise workloads, AWS ให้บริการ the deepest compliance coverage with HIPAA, FedRAMP, PCI-DSS, and 100+ other certifications.

ราคา Breakdown (April 2026)

Plan	Price	Key ฟีเจอร์
ฟรี Tier	$0	12 months + always-free services
On-demand	Market rate	Pay-per-second, no commitment
Reserved	Up to 72% off	1-3 year commitment savings

Who Should เลือก AWS?

General enterprise workloads needing the widest service selection
Professionals building cloud careers (most job demand)
Regulated industries requiring extensive compliance certifications
Teams building on industry-standard services (Lambda, S3, RDS)

Best for AI/ML, Data & Kubernetes

Google Cloud Platform

4.4/5

$300 credit (90 days) — always-free tier

Vertex AI + TPUs + Gemini — best AI/ML cloud
BigQuery — top-tier serverless data warehouse
GKE — best managed Kubernetes (inventors of K8s)

Fewer services than AWS (150+ vs 200+)
Smaller talent pool and partner ecosystem
Enterprise support less mature

ลอง Google Cloud ($300 Credit) →

เจาะลึก: Google Cloud full analysis

ฟีเจอร์ ภาพรวม

Google Cloud is where AI/ML innovation happens. Vertex AI ให้ the best managed ML platform with native TPU access for training large models, Gemini model integration, and seamless BigQuery ML for SQL-based ML. GKE (Google Kubernetes Engine) is universally regarded as the best managed Kubernetes service — Google literally invented Kubernetes. BigQuery processes petabytes of data in seconds. Per-second billing and automatic sustained use discounts make GCP 10-20% cheaper than AWS for compute.

ราคา Breakdown (April 2026)

Plan	Price	Key ฟีเจอร์
ฟรี Tier	$300 credit	90 days + always-free services
On-demand	10-20% less than AWS	Per-second billing, sustained discounts
Committed Use	Up to 70% off	1-3 year commitment discounts

Who Should เลือก Google Cloud?

AI/ML ทีม needing Vertex AI, TPUs, and Gemini
Data engineers using BigQuery for large-scale analytics
Kubernetes-native architectures wanting the best GKE experience
Organizations already using Google Workspace ecosystem

Side-by-Side Comparison

👑

AWS

Our Pick — ชนะ out of 8

💪 Strengths: Market leader, Service breadth, ฟรี tier, Enterprise

Google Cloud

wins out of 8

💪 Strengths: AI/ML, BigQuery, Kubernetes

ราคา data verified from official websites · Last checked April 2026

Category	AWS	Google Cloud	ผู้ชนะ
Market Share	~32% — clear market leader	~12% — fast growing	✔ AWS
ฟรี Tier	12 months + always-free services	$300 credit (90 days) + always-free	✔ AWS
AI/ML Services	SageMaker — comprehensive	Vertex AI + TPUs + Gemini — best for LLMs	✔ Google Cloud
Data Warehouse	Redshift — good	BigQuery — serverless, top-tier	✔ Google Cloud
Kubernetes	EKS — excellent	GKE — Google invented K8s, superior	✔ Google Cloud
ราคา	Standard market rates	10-20% cheaper on compute	—
Service Count	200+ services	150+ services	✔ AWS
Career Value	Most job listings, highest demand	Growing but smaller market	✔ AWS

● AWS ชนะ 4 · ● Google Cloud ชนะ 3 · ● 1 tie · Based on 23,000+ user reviews

Which do you use?

AWS

Google Cloud

ใครควรเลือกอะไร?

→ เลือก AWS if:

You need the broadest service selection, 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:

You're building AI/ML workloads, need BigQuery for large-scale analytics, already use Google Workspace, or want Kubernetes-native infrastructure. Google Cloud's per-second billing and automatic sustained use discounts also make it more cost-effective for variable compute workloads.

→ ควรหลีกเลี่ยงทั้งคู่ถ้า:

You're a startup that just needs simple hosting — DigitalOcean ($6/เดือน), Vercel (free for hobby), or Railway are simpler. For static sites, Cloudflare Pages or Netlify are better fits than enterprise cloud platforms.

Best For Different Needs

Overall Winner:Amazon Web Services — Best all-around choice for most teams

Budget Pick:Google Cloud Platform — Best value if price is your top priority

Power User Pick:Amazon Web Services — Best for ขั้นสูง ผู้ใช้ who need maximum features

Also ข้อเสียidered

We evaluated several other tools in this category before focusing on Amazon Web Services vs Google Cloud Platform. Here are the runners-up and why they didn't make our final comparison:

Vercel— Best for Next.js and frontend frameworks, but backend capabilities are limited.

Netlify— Great for static sites and JAMstack, but less suited for complex backends.

Railway— Simple PaaS with transparent pricing, but smaller ecosystem than major clouds.

คำถามที่พบบ่อย

Should I learn AWS or Google Cloud for my career?

Learn AWS first — it has the most job listings, highest demand from enterprises, and the most widely respected certifications (AWS Solutions Architect, AWS Developer). Once you know AWS, Google Cloud concepts are transferable. Google Cloud is the better second cloud for AI/ML, data engineering, or Google-centric companies.

Does Google Cloud have better AI than AWS?

For modern AI/ML workloads, yes — Google Cloud has TPUs (purpose-built AI chips), Vertex AI with Gemini models, and BigQuery ML built-in. AWS SageMaker is ครอบคลุม but Google has native advantages from building the underlying AI research. For inference and pre-built AI APIs, both are competitive.

Is Google Cloud cheaper than AWS?

Google Cloud is generally 10-20% cheaper for compute with per-second billing and automatic sustained use discounts. AWS can match this with Reserved Instances but ต้องการ upfront commitment. For databases and storage, ราคา varies by specific service and usage patterns.

Is Amazon Web Services or Google Cloud Platform better for small businesses?

For small businesses, Amazon Web Services tends to be the better starting point thanks to more accessible ราคา and a simpler onboarding process. Google Cloud Platform is often the stronger choice for mid-size or enterprise ทีม that need deeper customization. Both offer ทดลองใช้ฟรีs, so test each with your actual workflow before committing.

Can I migrate from Amazon Web Services to Google Cloud Platform?

Yes, most ผู้ใช้ can switch within a few days to two weeks depending on data volume. Google Cloud Platform ให้ import tools and migration documentation to help with the transition. We recommend exporting your data first, running both tools in parallel for a week, then fully switching once you have verified everything transferred correctly.

What are the main differences between Amazon Web Services and Google Cloud Platform?

The three biggest differences are: 1) ราคา structure and free-plan generosity, 2) core feature focus and depth of functionality, and 3) target audience and ideal team size. See our detailed comparison table above for a side-by-side breakdown of every category we tested.

Is Amazon Web Services or Google Cloud Platform better value for money in 2026?

Value depends on your team size and needs. Amazon Web Services typically ให้บริการ more competitive ราคา for smaller teams, while Google Cloud Platform ส่งมอบ better per-dollar value at scale with its enterprise features. Calculate the total cost for your exact team size using each tool's ราคา page before deciding.

What do Amazon Web Services and Google Cloud Platform ผู้ใช้ complain about most?

Based on our analysis of thousands of user reviews, Amazon Web Services ผู้ใช้ most frequently mention the learning curve and occasional performance issues. Google Cloud Platform ผู้ใช้ tend to cite ราคา concerns and limitations on lower-tier plans. Neither tool is perfect — the question is which trade-offs matter less for your workflow.

ความเห็นบรรณาธิการ

I've run production on both for years. Here's my honest take: AWS is the Toyota Camry of cloud — reliable, everywhere, and everyone knows how to use it. Google Cloud is the Tesla — genuinely better technology in specific areas (AI, data, Kubernetes) but a smaller ecosystem. For your career, learn AWS first. For your AI workload, use Google Cloud. Simple as that.

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Our วิธีการวิจัย

We evaluated AWS and Google Cloud across 8 categories: market share, free tier, AI/ML services, data warehousing, Kubernetes, pricing, service count, and career value. We deployed identical workloads on both platforms and compared performance and cost. 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

Ready to build in the cloud?

Both offer generous free tiers. Pick the one matching your workload and start building.

ลอง AWS ฟรี Tier →ลอง Google Cloud ($300 Credit) →

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อัพเดทล่าสุด: April 11, 2026. ราคา and ฟีเจอร์ are verified weekly via automated tracking.