- What is the downside for setting strong consistency on a Cosmos DB database with a lot of replicas?
- Which of the following consistency levels below offers the greatest throughput?
- Which consistency level in Azure Cosmos DB provides the strongest consistency?
- How do you get strong consistency?
What is the downside for setting strong consistency on a Cosmos DB database with a lot of replicas?
Additionally, there are no write latency benefits on using strong consistency with multiple write regions because a write to any region must be replicated and committed to all configured regions within the account. This results in the same write latency as a single write region account.
Which of the following consistency levels below offers the greatest throughput?
Eventual Consistency
As per its name, it offers consistent reads eventually. The eventual consistency model provides high availability with low latency and the highest throughput. The following screenshot refers to the eventual consistency where the data does not guarantee any order.
Which consistency level in Azure Cosmos DB provides the strongest consistency?
Strong consistency
The strongest consistency model offered by Azure Cosmos DB is Strong. This consistency guarantees that reads return the most recent committed data. There are no dirty reads, meaning there's no reading of uncommitted data.
How do you get strong consistency?
However, to have strong consistency, developers must compromise on the scalability and performance of their application. Simply put, data has to be locked during the period of update or replication process to ensure that no other processes are updating the same data.