Roaring bitmaps are an efficient way to store and manipulate large datasets. With Roaring bitmaps, operations such as merge, intersect, and union can be performed quickly and with minimal memory usage. This makes them particularly useful for applications that rely on searching and filtering large datasets, such as search engines, data analytics platforms, and financial systems. In this article, we explore how Roaring bitmaps work and discuss their advantages over traditional bitmap storage methods.