Define NoSQL databases and explain the primary motivations behind their development. Provide examples of scenarios where each type of NoSQL database is suitable.

NoSQL databases are a category of database management systems that provide a mechanism for data storage and retrieval that is different from traditional relational databases. Unlike relational databases, which use structured query language (SQL) and follow a predefined schema, NoSQL databases offer flexible schema design and are optimized for horizontal scalability, high availability, and handling unstructured, semi-structured, or poly-structured data. These databases are particularly useful in scenarios requiring rapid data processing, distributed architectures, and real-time analytics.

The primary motivations behind the development of NoSQL databases stem from the limitations of traditional relational databases in handling modern data demands. As businesses and applications began to generate vast amounts of diverse data at unprecedented speeds, relational databases faced challenges related to scalability, performance, and flexibility. Some of the key motivations include:

1. Scalability: Traditional relational databases scale vertically (by adding more resources to a single server), which has physical and cost limitations. NoSQL databases are designed to scale horizontally, distributing data across multiple servers efficiently.

2. Handling Big Data: The rise of big data, including high-volume, high-velocity, and high-variety data, required databases that could handle large datasets efficiently. NoSQL databases are designed to manage large-scale unstructured and semi-structured data.

3. Flexibility in Schema Design: Relational databases require a predefined schema, making it difficult to _____ ___ ______ ___ ______ ___ _____ _______ _______ _________.
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