You have been asked to select the storage system for the click-data of your company's large portfolio of websites. This data is streamed in from a custom website analytics package at a typical rate of 6,000 clicks per minute. With bursts of up to 8,500 clicks per second. It must have been stored for future analysis by your data science and user experience teams. Which storage infrastructure should you choose?

Google Cloud Bigtable is the ideal choice due to its high throughput and low latency, making it excellent for handling large volumes of streaming data like website click-data, especially with bursty traffic patterns (up to 8,500 clicks per second). Its NoSQL, wide-column design is well-suited for time-series data and analytics. Google Cloud SQL is a relational database, not designed for the scale and throughput of streaming click-data. Google Cloud Storage is an object storage service, better for large files and archives than for real-time, high-volume operational data. Google Cloud Datastore (now Firestore in Datastore mode) is a NoSQL document database, but Bigtable offers superior performance for the extreme throughput requirements described.