Real-time databases are used to manage data workloads that are continually changing and time-sensitive. They use real-time processing to manage their data, ensuring timely execution of transactions for organizations or integrated systems to instantly utilize the data. These databases are vital tools for various sectors, including eCommerce, energy, fintech, healthcare, high tech, retail, utilities, and transportation. Real-time databases offer features such as low-latency streaming data, flexible indexing, and high availability, making them suitable for industries like energy and utilities, gaming and media, and retail and eCommerce. They enable organizations to quickly analyze current and historical data, respond to trends or resolve problems, and improve the usability, engineering, and market performance of applications. Real-time databases are classified into hard and soft types based on their transaction deadlines, with hard real-time databases requiring timely execution for safety-critical systems and soft real-time databases allowing some flexibility in meeting deadlines.