What are the key differences between distributed databases?
An example of an AI chatbot conversation about comparing distributed databases.
What are the key differences between distributed databases?
Distributed databases are designed to spread data across multiple locations. Key differences include data consistency, availability, and partition tolerance.
Can you explain the CAP theorem in relation to distributed databases?
Sure! The CAP theorem states that in a distributed data store, you can only guarantee two of the following three properties: Consistency, Availability, and Partition Tolerance.
What are some examples of distributed databases?
Examples include Apache Cassandra, Amazon DynamoDB, and Google Cloud Spanner. Each has unique features suited for different use cases.
How do I choose the right distributed database for my application?
Consider factors like scalability, consistency requirements, and the specific use case of your application to choose the right database.
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