A hybrid transaction/analytical processing (HTAP) architecture is best enabled by in-memory computing (IMC) techniques and technologies to enable analytical processing on the same (in memory) data store that is used to perform transaction processing. By removing the latency associated with moving data from operational databases to data warehouses and data marts for analytical processing, this architecture enables real-time analytics and situation awareness on live transaction data as opposed to after-the-fact analysis on stale data. IMC technologies support a single, low-latency-access, in-memory data store capable of processing high volumes of transactions.