With the generation of large-scale spatial data in various fields, array databases that represent space as an array have become one of the means of managing spatial data. Each cell in an array tends to interact with one another; therefore, instead of considering a single cell, considering a concept of subarray is required in some applications. In addition, each cell has several attribute values to indicate its features. Based on the two observations, we propose a new type of query, subarray skyline, that provides a way to find meaningful subarrays or filter less meaningful subarrays considering attributes. We also introduce an efficient query processing method, ReSKY, in centralized and distributed settings. Through extensive experiments using an array database and real datasets, we show that ReSKY has better performance than the existing techniques.