Cloud Database Cost Optimization: RDS, Cloud SQL, and Cosmos DB Compared

Database Cost Optimization: A Comprehensive Guide

Database cost optimization is crucial for maintaining efficient cloud spending. This guide covers strategies to reduce costs on Amazon RDS, Google Cloud SQL, and Azure Cosmos DB.

1. Non-Production Database Scheduling

• Implementation: Automatically stop non-production databases when they are not in use.
• Benefits:
  • RDS: Saves 60-71% of non-prod costs.
  • Cloud SQL: Saves 60-71% of non-prod costs.
  • Cosmos DB: Eliminates idle RU cost.
• Risk and Effort: Low risk, low effort.

2. Disable Unnecessary Features

• RDS:

  • Action: Disable Multi-AZ on non-production instances.
  • Benefits: Saves ~50% of non-prod instance costs.
  • Risk and Effort: Low risk, low effort.

• Cloud SQL:

  • Action: Disable HA (High Availability) on non-production instances.
  • Benefits: Saves ~50% of non-prod instance costs.
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