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How Should I Think About Consistency Levels In The Table Api?

Answer»

AZURE Cosmos DB PROVIDES well-reasoned trade-offs between consistency, availability, and latency. Azure Cosmos DB offers five consistency levels to Table API developers, so you can choose the right consistency model at the table level and make individual requests while querying the data. When a client connects, it can specify a consistency level. You can change the level via the consistency Level ARGUMENT of CreateCloudTableClient.

The Table API provides low-latency reads with "Read your own writes," with Bounded-staleness consistency as the default.

By default, Azure Table storage provides STRONG consistency within a region and Eventual consistency in the secondary locations.

Azure Cosmos DB provides well-reasoned trade-offs between consistency, availability, and latency. Azure Cosmos DB offers five consistency levels to Table API developers, so you can choose the right consistency model at the table level and make individual requests while querying the data. When a client connects, it can specify a consistency level. You can change the level via the consistency Level argument of CreateCloudTableClient.

The Table API provides low-latency reads with "Read your own writes," with Bounded-staleness consistency as the default.

By default, Azure Table storage provides Strong consistency within a region and Eventual consistency in the secondary locations.



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