
Answer-first summary for fast verification
Answer: Google Cloud Bigtable
**Correct Answer: B (Google Cloud Bigtable)** - **A (Google Cloud Storage)** is incorrect because, while it can scale to store the data, it lacks the ability to perform real-time analysis, making the data less useful for immediate insights. - **B (Google Cloud Bigtable)** is correct as it is a scalable, fully-managed NoSQL wide-column database designed for both real-time access and analytics workloads. It excels in handling high-throughput and low-latency workloads, making it ideal for real-time data ingestion and processing from a large number of sensors. - **C (Google BigQuery)** is incorrect due to its limitations in handling high-frequency data streaming, as it would quickly exhaust the streaming inserts quota. It's optimized for analytics on large datasets rather than continuous data ingestion. - **D (Google Cloud SQL)** is incorrect because it's not built to manage the massive volume of streaming data efficiently. It's more suited for traditional relational database management systems and not for high-throughput data ingestion. For more information, visit: [Google Cloud Bigtable](https://cloud.google.com/bigtable)
Author: LeetQuiz Editorial Team
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Your company operates a highly accurate, real-time weather charting application that continuously receives data from 40,000 sensors at a rate of 20 readings per second. The input data consists of a timestamp and sensor reading. Which storage option would provide the best performance for this scenario?
A
Google Cloud Storage
B
Google Cloud Bigtable
C
Google BigQuery
D
Google Cloud SQL
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