Your on-premises PostgreSQL instance is straining to handle worldwide growth. Executives want to modernize on Google Cloud with a fully managed relational service that can automatically scale horizontally across regions while retaining strong consistency. Which service best fits?
Cloud Spanner is Google Cloud's horizontally scalable, strongly consistent relational database. It automatically shards data across nodes and even multiple regions, giving near-unlimited capacity while preserving ACID semantics. Cloud SQL for PostgreSQL is fully managed but limited to vertical scaling on a single region. BigQuery is an analytics warehouse, not an OLTP database, and Firestore is a document-oriented NoSQL store, so neither meets the requirement for a relational system with strong consistency across regions.
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What does 'strong consistency' mean in a database?
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How does horizontal scaling differ from vertical scaling in databases?
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Why doesn’t Firestore or BigQuery meet the requirements for this scenario?
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What is horizontal scaling in databases?
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What does ACID mean in the context of databases?
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What is the difference between Cloud Spanner and Cloud SQL?
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