With In-memory Analytics, the queried data resides within the processing application’s random-access memory, leading to faster response times. This leads to a significant reduction in processing time for large datasets, such as those stored in data lakes and data warehouses. Moreover, In-memory Analytics reduces the need for data indexing, storing pre-aggregated data or aggregate tables that are inevitable with traditional methods of querying data.