While scaling out the database is the norm for Big Data systems, there are many hidden costs and complexities associated with “node sprawl” that can be remedied by instead deploying smaller clusters of larger database nodes. This paper explores the merits of small clusters and shares test results that debunk the concerns some organizations have about using large nodes.