| Multi-regional |
- High-performance
- Geo-redundant: you pick a broad geographical location (US/EU, Asia), and data is stored in at least 2 geographic locations separated by at least 160km
- Appropriate for storing frequently accessed data (website content, interactive workloads, etc.)
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| Regional |
- High-performance
- Lets you store data in a specific GCP region (e.g.,
us-central1) - Cheaper than multi-regional storage, but it offers less redundancy
- Appropriate to store data close to their Compute Engine virtual machines or their GKE clusters -> gives better performance for data-intensive computations
|
| Nearline |
- Backup and archival storage
- Low-cost, highly durable storage service for storing infrequently accessed data
- Where you plan to read or modify your data on average once a month or less
- Also incurs an access fee per gigabyte of data read
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| Coldline |
- Backup and archival storage
- Very-low-cost, highly durable storage service for data archiving, online backup, and disaster recovery
- Best choice for data that you plan to access at most once a year, due to its slightly lower availability, 90-day minimum storage duration, costs for data access, and higher per-operation costs
- Incurs a higher fee per gigabyte of data read
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