The increasing demand for real-time access to data is driven by competitive pressure and the need for modern architecture in applications. Businesses are looking for solutions that can provide faster insights and improve decision-making abilities, which traditional data platforms often fail to deliver. NoSQL stands out as a preferred solution due to its ability to scale out using low-cost servers and a flexible, schemaless model. It is best suited for applications requiring horizontal scale-out across many servers, real-time insights, embedded database applications, and mobile applications needing quick access to various data types. In-memory persistent memory can help support new generation applications and insights by enabling low-latency access to large amounts of data at a lower cost. A successful real-time data strategy requires collaboration between people, processes, and technology, focusing on key transactional and operational applications and insights initially.