HTAP, introduced around the early 2010s, is a database architecture that enables simultaneous transaction processing (OLTP) and analytical processing (OLAP) within the same system, eliminating the need for separate databases or data warehouses. This approach allows businesses to perform real-time analytics on transactional data without the need for complex data pipelines or ETL processes, thus reducing latency and improving decision-making capabilities. HTAP systems typically leverage in-memory processing, columnar storage, and distributed computing to achieve high performance for both transactional and analytical workloads. While traditional databases struggle to efficiently support both OLTP and OLAP workloads simultaneously, HTAP architectures offer a unified solution that enables businesses to derive insights from operational data in near real-time. s://en.wikipedia.org/wiki/Hybrid_transactional_analytical_processing