A startup is building a worldwide mobile application that stores user profiles as JSON documents. They need a managed service that automatically scales to very high read/write traffic, offers multi-region replication with strong consistency, and lets them focus on application logic rather than database operations. Which Google Cloud data service best meets these requirements?
Firestore is a fully managed, serverless NoSQL document database that stores data as JSON-like documents. It can automatically scale to millions of users, provides multi-region replication with strong transactional consistency, and requires no server management from the developer. Cloud SQL is a managed relational service that scales vertically and is less suited to massive, globally distributed workloads. Cloud Bigtable offers high throughput but stores wide-column key/value data and does not provide document semantics or multi-region strong consistency. Cloud Storage is object storage optimized for files and blobs, not for low-latency document reads and writes.
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What is Firestore and how does it store data?
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Why does Firestore have strong transactional consistency?
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How does Firestore compare to Cloud SQL for global applications?
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What is Firestore and how does it handle JSON documents?
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How does multi-region replication with strong consistency work in Firestore?
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Why is Firestore a better choice for JSON document storage compared to Cloud SQL or Cloud Bigtable?
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