A fitness band company is continuously ingesting data from millions of its consumers. Different kinds of data based on time, like location, heartbeat rate, temperature, movement, etc. are connect-ed. They need a high throughput database that can write data very fast. Since their users are spread across the world, they need the database to be geographically scalable. Consumers also want to see near-real-time visualizations of their activities .
Which of these databases would be a good fit?
A . Cloud SQL
B . Bigtable
C . Spanner
D . Firestore
Answer: B
Explanation:
Bigtable is the best suited for time series data. It also has high read-write throughput and ability to scale globally.
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