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Amazon Web Services (AWS) vs Google Cloud Platform (GCP)

AWS vs Google Cloud (GCP) Compute Pricing

Side-by-side analysis of AWS EC2 and GCP Compute Engine. Explore cost differences between Graviton and Tau T2A, custom VM shapes, and Committed Use Discounts.

摘要与快速解答

Compare Amazon EC2 and Google Cloud Compute Engine instance pricing, custom sizing, and network performance. Google Cloud is frequently more flexible due to Custom Machine Types (allocating exact vCPU and RAM ratios without paying for unused capacity) and simpler Committed Use Discounts. AWS EC2 offers a broader selection of specialized instance families and a larger third-party marketplace.

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最具性价比推荐: Google Cloud Platform (GCP)

Google Cloud is frequently more flexible due to Custom Machine Types (allocating exact vCPU and RAM ratios without paying for unused capacity) and simpler Committed Use Discounts. AWS EC2 offers a broader selection of specialized instance families and a larger third-party marketplace.

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最佳托管生态系统: Amazon Web Services (AWS)

推荐用于大型分布式架构、企业合规及专有托管云生态系统。

关键架构差异

对比 Amazon Web Services (AWS) 与 Google Cloud Platform (GCP) 的架构、带宽及定价政策。

对比维度Amazon Web Services (AWS)Google Cloud Platform (GCP)分析摘要
Custom SizingFixed instance sizes (nano, micro, small, medium, large, etc.)Custom VM shapes allowing arbitrary vCPU and RAM allocationsGCP lets you avoid overprovisioning by sizing VMs precisely to your application need.
Discount CommitmentsSavings Plans & Reserved InstancesResource-based & Spend-based Committed Use Discounts (CUDs)GCP CUDs apply flexibly without locking into specific instance generations.
Networking PerformanceEnhanced Networking (ENA)Google Premium Tier global private fiber backboneGoogle operates its own global fiber network, reducing cross-region network latency.

Amazon Web Services (AWS) — 最低价格服务器方案

已验证的 Amazon Web Services (AWS) 价格与硬件规格。

未找到匹配项

Google Cloud Platform (GCP) — 最低价格服务器方案

已验证的 Google Cloud Platform (GCP) 价格与硬件规格。

未找到匹配项

对比不同地域、云厂商、硬件规格及工作负载架构。

其他云基础设施对比

AWS vs Hetzner Cloud Pricing Comparison

Hetzner is dramatically cheaper (often 70% to 85% less) for raw compute, memory, and bandwidth, making it the top choice for startups and cost-conscious teams. AWS is recommended when you require a massive managed service ecosystem (RDS, Lambda, SQS), strict compliance certifications, or global reach in 30+ countries.

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AWS vs Microsoft Azure VM Pricing Comparison

AWS and Azure are closely matched in compute pricing and global coverage. AWS offers a slight edge in Linux Graviton price-performance and mature developer tooling, while Azure provides massive cost savings for Windows Server and SQL Server workloads via Azure Hybrid Benefit.

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DigitalOcean vs Hetzner Cloud Pricing Comparison

Hetzner offers unbeatable raw compute and RAM value (2x to 4x more resources per dollar compared to DigitalOcean), while DigitalOcean provides a broader suite of developer-friendly managed products (Managed Databases, App Platform, Kubernetes) and a larger North American and Asian footprint.

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DigitalOcean vs Linode (Akamai) Pricing Comparison

DigitalOcean and Linode offer nearly identical entry-level pricing ($4-$6/mo for 1GB VPS). Linode excels in raw CPU clock speeds and seamless integration with Akamai’s enterprise CDN and DDoS edge, while DigitalOcean leads in PaaS developer experience and documentation.

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AWS vs DigitalOcean Cloud Compute Pricing

DigitalOcean provides predictable, flat-rate pricing with generous bandwidth and minimal overhead, making it ideal for small-to-medium teams. AWS is best suited for complex distributed architectures that require extensive compliance, enterprise IAM, and specialized hardware.

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Microsoft Azure vs Google Cloud (GCP) Compute Pricing

Google Cloud offers superior pricing flexibility with Custom Machine Types and sustained use discounts, whereas Azure is the clear winner for Microsoft ecosystem integration, enterprise active directory, and hybrid cloud environments.

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常见问题解答

关于云计算定价和基础设施配置的常见解答。

Which is cheaper: AWS EC2 or Google Compute Engine?

Base on-demand prices are very close, but GCP can be 15% to 25% cheaper in practice by utilizing Custom Machine Types to avoid paying for excess RAM or CPU cores that your workload does not need.