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Scale-out architectures on SQL Server enable a data footprint to scale past what can be achieved by a single instance. The trade-off is that these architectures require considerably more planning and consideration and often require applications to be designed accordingly. Concepts such as data placement, load balancing, and data sharding may need to be addressed, and the impact on features such as replication or availability groups.