GCP Cloud Digital Leader Practice Question

Cloud Bigtable is designed for very large, high-throughput workloads such as IoT and time-series streams. Its distributed architecture supports millions of writes per second and provides single-digit millisecond latency for point reads and writes, while automatically scaling to petabytes of data. BigQuery is excellent for analytical queries but is optimized for batch ingestion rather than low-latency operational lookups. Cloud SQL offers familiar relational capabilities but cannot scale horizontally to the required write rate. Firestore is a serverless NoSQL document store suited to mobile back-ends, yet it cannot match Bigtable's sustained throughput at a global scale.