You rent construction equipment that emits thousands of sensor events per hour per device. You need time-consistent, atomic storage and retrieval per signal. What should you do?

Bigtable is a wide-column NoSQL database ideal for large analytical and operational workloads, including time-series data. Its high throughput and low latency make it suitable for ingesting thousands of sensor events per hour. Designing the row key with the event timestamp ensures time-consistent, atomic storage and efficient retrieval of specific signals or time ranges. Cloud Storage is object storage, not designed for atomic, time-consistent record-level retrieval. Filestore is network-attached file storage, not optimized for high-volume, structured sensor data ingestion and retrieval. Cloud SQL is a relational database that would struggle with the scale and high write velocity of thousands of events per hour per device, and read replicas primarily help with read scaling, not write ingestion.