For decades, distributed databases have been built around the assumption that storage will live close to compute.
The farther data travels over the network, the reasoning goes, the greater the potential for delay. Local RAID (redundant array of independent disks) arrays, network-attached storage (NAS), and cluster file systems keep data close, making it quick and easy to access.
But in a distributed system, keeping the entire data store close to compute makes scaling slow, cumbersome, and expensive. Each time a node or cluster is replicated,…

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