NoSQL databases are non-relational storage systems that offer flexibility, scalability, and speed, making them ideal for handling the vast amounts of structured, semi-structured, and unstructured data produced by modern applications such as AI, social media, and real-time analytics. These databases overcome the limitations of traditional relational databases, like rigid schemas and costly join operations, by utilizing schema flexibility, distributed architectures, and horizontal scaling to ensure high availability and fault tolerance. Different types of NoSQL databases, including document stores, graph databases, key-value stores, and column-family stores, cater to various data structures and workloads, enabling real-time data processing and complex relationship mapping. Companies like Netflix and Amazon rely on NoSQL systems for applications that require low latency and high-speed transactions. FalkorDB, a modern distributed NoSQL graph database, exemplifies the performance and scalability benefits of NoSQL, offering features like multi-model support, optimized query execution, and robust security, all of which are critical for building scalable, AI-driven applications.