Shared nothing architecture (SNA) is an approach to distributed computing that does not involve the sharing of any physical resources between nodes. Instead, each node has its own memory, storage, and processing power so that no other node needs to access them.   This architecture allows for more scalability than traditional systems because each node can independently process requests without having to wait for another node to finish first. Additionally, SNA eliminates the need for synchronization between nodes, which reduces latency in communication between nodes and improves overall system performance.   The scalability of shared nothing architecture depends on the number of nodes in the system and how they are configured. The more nodes there are, the more scalability potential there is since each node can handle its own requests without waiting for other nodes to catch up.   Additionally, if the nodes are organized into tiers—with some nodes handling more intensive tasks than others—then those tasks can be spread out across multiple tiers for improved performance and scalability. Finally, SNA also makes it easier to add or remove nodes from the system when necessary as long as all of the existing data is properly partitioned across the different nodes beforehand.