HTAP combines transactions and analytics in one database, providing speed and simplicity, and is a cloud-native technology that integrates with Kafka, Spark, and other streaming data sources, serving multiple analytics clients and generating queries at high speeds. It was created to replace the OLTP/ETL/OLAP structure, which uses separate databases for transactions and analytics, and offers many benefits including simpler architecture, eliminated data copies, and increased performance and cost savings. HTAP is used in various use cases such as fraud prevention, recommendation engines, smart power grids, and AI, and has applications in the IoT and machine learning fields, where fast access to current and historical data is necessary.