Your multiplayer game stores player profiles, achievements, and leaderboard scores in a relational schema. Traffic peaks at 25 000 writes and 50 000 reads per second worldwide. Players demand that a score appears simultaneously in all regions, and business owners want a single SQL endpoint instead of sharding logic. The operations team cannot manage manual failover or schema changes. Which managed storage service best meets these requirements?
Cloud Spanner deployed in a multi-region configuration
BigQuery using streamed inserts into partitioned tables
Cloud SQL for MySQL with cross-region read replicas and automatic failover
Cloud Spanner is a fully managed, horizontally scalable relational database that provides strong external consistency and synchronous replication across multiple regions, so a write is visible globally as soon as it commits. It exposes a single SQL endpoint and automates maintenance tasks such as online schema changes and automatic failover.
Cloud SQL cannot provide synchronous cross-region consistency; its read replicas are asynchronously replicated and may lag. BigQuery is an analytical (OLAP) warehouse optimized for batch queries, not for high-QPS transactional updates. Bigtable delivers low-latency key-value access but is a NoSQL wide-column store and offers eventual, not strong, consistency in multi-cluster replication.
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What does Cloud Spanner provide that makes it suitable for high-demand multiplayer games?
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Why does Cloud SQL fall short in this scenario?
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What is the difference between Cloud Spanner and Bigtable regarding consistency and use cases?
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What is synchronous replication in Cloud Spanner?
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How does Cloud Spanner handle schema changes automatically?
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What is external consistency and why is it relevant for Cloud Spanner?
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What is Cloud Spanner and why is it suitable for this scenario?
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How does Cloud Spanner achieve strong consistency across multiple regions?
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Why are other options like Cloud SQL and BigQuery unsuitable for this use case?
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GCP Professional Data Engineer
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