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HipLocal is expanding its community application globally and needs to store user activity data. Given their technical requirements (usage metrics, monitoring, compliance, and serverless architecture), which Google Cloud database solution should they use?
Key Considerations:
Which Google Cloud database is the best fit for storing HipLocal’s user activity data?
Explanation:
HipLocal needs a database to store user activity, which requires handling high write throughput, elastic scaling, and serverless architecture. Cloud Datastore (D) is a NoSQL document database designed for automatic scaling and serverless operation, making it ideal for user activity data that doesn't require complex transactions. While BigQuery (A) is for analytics, Cloud SQL (B) is a managed relational database but not globally scalable, and Cloud Spanner (C) offers global consistency but is relational and may be overkill for activity logging. The technical requirements emphasize serverless architecture and elastic scaling, aligning best with Cloud Datastore.