Transactional databases, also known as OLTP databases, are designed to efficiently handle high-volume transaction processing while ensuring data integrity through adherence to ACID properties—atomicity, consistency, isolation, and durability. These databases store data in rows to facilitate quick read and write operations, making them ideal for sectors where data accuracy is crucial, such as banking, retail, healthcare, and logistics. ACID transactions ensure that data modifications occur as complete units and are permanent, even in the event of system failures. While ACID transactions are typical, non-ACID, XA, and batch transactions offer alternative approaches when performance or distributed operations are prioritized over strict data integrity. Transactional databases support scalability and reliability, accommodating large data volumes across multiple servers. Although NoSQL databases typically conflict with ACID properties, some, like Couchbase, have incorporated transactional support to balance consistency, availability, and partition tolerance, thus broadening the scope of transactional processing in diverse applications.