Your company is building a new ride-sharing mobile app. The app must update rider and driver location in real time, continue to read and write data while the device is offline, and automatically sync when connectivity returns. Traffic may surge unpredictably, so the backend must scale with no manual sharding or instance management. Which Google Cloud managed datastore best meets these requirements?
Firestore in Native mode offers realtime listeners that push document changes to connected clients, mobile and web SDKs that cache data locally and transparently merge it when the device reconnects, and serverless horizontal scaling without capacity planning. Cloud SQL provides a traditional relational engine but no built-in realtime streams or offline SDK. Bigtable can scale to large workloads but lacks client libraries for realtime sync and offline persistence. Spanner gives strong consistency and global scale, yet developers must build their own realtime and offline layers, making it a heavier and more costly option for this scenario.
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What is Firestore in Native mode?
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How does Firestore handle offline data?
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Why is Firestore suited for unpredictable traffic surges?
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Why is Firestore in Native mode better suited for real-time applications?
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How does Firestore handle offline data synchronization?
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What makes Firestore scale more effectively than other options like Cloud SQL or Cloud Bigtable?
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GCP Associate Cloud Engineer
Planning and implementing a cloud solution
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