Which service is best for a startup that needs a globally distributed, multi-model database with low latency for user data?
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Correct answer: Azure Cosmos DB.
Why this is the answer
Azure Cosmos DB is the best choice because it is a globally distributed, multi-model database service that offers low-latency access to data. This makes it ideal for startups needing to scale globally and support various data models (document, key-value, graph, column-family) with guaranteed low latency. Azure SQL Database is a relational database and while scalable, it's not inherently multi-model or globally distributed with the same low-latency guarantees as Cosmos DB. Azure Table Storage is a NoSQL key-value store, but it lacks the multi-model capabilities and global distribution features of Cosmos DB. Azure Redis Cache is an in-memory data store primarily used for caching and session management, not as a primary, persistent, multi-model database for user data.
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