Match each Google Cloud database or storage service on the left with its corresponding workload capability and access pattern on the right.
- Cloud BigtableHigh-throughput, ultra-low latency NoSQL wide-column store optimized for heavy write workloads such as IoT telemetry.
- FirestoreServerless document database with automatic scaling and offline synchronization for mobile and web applications.
- Cloud StorageUnstructured object storage for media files, archives, and backups with configurable lifecycle rules.
- Cloud SpannerFully managed, globally scalable relational database with transactional consistency and standard ANSI SQL support.
Cevap
Cloud Bigtable pairs with high-throughput wide-column NoSQL; Firestore pairs with serverless document database for mobile/web; Cloud Storage pairs with unstructured object storage; Cloud Spanner pairs with globally scalable transactional relational database.
Each service directly maps to its primary design use case: Cloud Bigtable for high-throughput NoSQL time-series and wide-column data, Firestore for document storage with mobile/web real-time sync, Cloud Storage for unstructured object storage, and Cloud Spanner for globally distributed relational SQL workloads requiring strong ACID consistency.
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Anahtar Kavram
GCP Storage & Database Resource Selection