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Does Cassandra work best on network-attached storage?

Yes, it is optimized for network-attached storage

No, it performs better on local disks

Cassandra is a distributed NoSQL database that is designed for high availability and scalability. It performs optimally on local disks due to its architecture and data storage requirements. When using local disks, Cassandra benefits from lower latency and faster data access since the data is stored on disks that are directly attached to the server nodes. This direct attachment minimizes the network overhead that can be introduced when accessing data stored on network-attached storage.

While network-attached storage can be convenient for backup and data redundancy, it tends to introduce latency and potential bottlenecks during data reads and writes, which can affect the overall performance of Cassandra. The system is built to handle high transaction volumes efficiently, and local disks align better with its design principles by ensuring that read and write operations occur swiftly and with minimal delay.

In some scenarios, such as specific configurations or setups that do not heavily rely on throughput, network-attached storage might still be used. However, for most standard applications, especially those aiming for high performance and lower latency, local disks are the preferred choice for deploying Cassandra.

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Yes, but only for backup purposes

No, it depends on the use case

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