NoSQL emerged as a response to the limitations of traditional SQL-based databases when handling dynamic data and large distributed systems. By avoiding strict schemas and table joins, you can design your data model with more freedom-sometimes embedding user data directly in documents instead of splitting it across tables.
With great flexibility comes responsibility: many NoSQL systems prioritize availability and scalability over strict consistency under the CAP theorem. The use case should drive the model-developers often choose between eventual consistency and full ACID support depending on the NoSQL product.
The NoSQL ecosystem has grown massively, from mature players like MongoDB, Cassandra, Redis, and Couchbase to newer entrants focusing on multi-model and graph database solutions.










