Which description fits a hybrid transactional/analytical processing (HTAP) architecture?

A hybrid transactional/analytical processing (HTAP) architecture is characterized by the ability to handle both transactional and analytical workloads on the same system without needing to separate the data into distinct stores. The correct choice describes the scenario where transactional data is integrated with analytical processing, enabling real-time analytics directly on live operational data.

In an HTAP system, data that resides in the operational store can be rapidly accessed for both real-time transaction processing and analytical queries. This eliminates the need for data synchronization processes that typically occur in traditional architectures, where operational data is moved to a separate analytical store for reporting and analysis. By allowing analytics to occur on fresh, live operational data, HTAP architectures enhance performance and provide valuable insights in real time, making them well-suited for dynamic business environments.

Other options describe different architectures or patterns. Having data integrated in a single operational store does not explicitly reflect the analytical demands typically seen in HTAP systems. Storing operational data in a separate analytical database suggests a traditional approach that fundamentally separates transactions from analytics, which is contrary to the principles of HTAP. Lastly, stating that transactional systems support only analytical queries overlooks the essence of HTAP, which combines both transactional capabilities and analytical querying in a single architecture.