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Google Cloud Platform (GCP)

Google's cloud computing platform with strong data and ML capabilities

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Technical Profile

Scalability
very high
Performance
very high
Learning Curve
steep
Maturity
mature
Languages: Multiple
Architecture: iaas, paas, saas

When to Use

  • +Data analytics workloads
  • +Machine learning projects
  • +Kubernetes-native applications
  • +Need BigQuery

When Not to Use

  • -Heavy Windows/.NET workloads
  • -Need most services from one provider
  • -Limited to specific AWS services

Strengths

  • Best-in-class data/ML services
  • BigQuery for analytics
  • Kubernetes (GKE) leadership
  • Global network performance
  • Competitive pricing
  • Developer experience

Weaknesses

  • Smaller service portfolio than AWS
  • Less enterprise tooling than Azure
  • Regional availability
  • Organizational changes

Operations

Maintenance
medium
Monitoring
medium
Backup/Recovery
moderate
Hosting: cloud

Quick Facts

Category
Cloud Provider
License
commercial
Pricing
usage based (free tier)
Community
very large
Docs Quality
excellent
Trend
growing
Vendor Lock-in
high
Data Portability
moderate

Compliance

GDPR
HIPAA
SOC 2
PCI-DSS
Encryption
Audit Logs
RBAC
MFA

Best For

startupsmallmediumlargeenterprise

Use Cases

  • Data analytics
  • Machine learning
  • Kubernetes workloads
  • Real-time processing
  • Mobile backends

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