Operational analytics is a form of business analytics focused on improving operations by processing real-time data in real-time, enabling quick decision-making and strategic planning. It has gained prominence due to the increasing adoption of digital technologies, allowing organizations to leverage real-time information from their IT infrastructure to make informed decisions that drive profits and create competitive advantages. Operational analytics differs from traditional analytics, focusing on integration between all systems and ensuring a single source of truth for data, reducing time needed for decision-making by reacting to customer behavior in real-time. It benefits organizations with near-real-time decision-making, trustworthy data from one central hub, improved customer loyalty, consistent business intelligence across tools, and efficient data teams. Operational analytics is used in various industries, including financial institutions, oil and gas industries, and medicine, and requires a database that supports complex queries, low data latency, high query volume, live sync with external sources, and mixed types of data.