This article discusses real-time analytics databases, which are designed to handle large amounts of data in real-time, enabling businesses to make data-driven decisions faster and more efficiently. These databases are built to serve time-critical workloads and provide low latency for efficient and continuous data ingestion and consumption at scale. They offer flexible indexing techniques, support for complex SQL queries, and can scale up and down based on the real-time data requirements. Real-time analytics databases are essential for businesses in various industries such as finance, logistics, security, and more, where timely insights can provide a competitive advantage. The article concludes that these databases can be used to augment traditional data warehouses, providing a solution for ad-hoc query workloads and real-time analytics needs.