Title: NoSQL
Author: Kriko
Published: Jun 8, 2023
Last modified: Jul 7, 2026

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# NoSQL

**NoSQL** refers to database systems that operate outside the traditional relational
database model and are used to store, manage and query different types of data. 
The term is commonly interpreted as “Not Only SQL,” reflecting the fact that these
systems are not limited to table-based structures.

NoSQL databases are designed to meet the changing and high-volume data requirements
of modern applications. Their flexible schema models allow data structures to be
updated more easily according to application needs. Data can be accessed through
APIs, specialised query languages or SQL-like query structures.

These systems are known for high availability, horizontal scalability and fast data
processing. For this reason, they are widely used in real-time web applications,
big data projects, content platforms, social media applications, messaging systems
and IoT solutions.

One of the main advantages of NoSQL databases is their ability to manage structured,
semi-structured and unstructured data more flexibly. They can adapt quickly to changes
in application architecture or data models. This simplifies development processes
and allows data to be organised in a way that is more closely aligned with application
requirements.

NoSQL systems can operate on both physical servers and cloud infrastructure. Through
distributed architectures, data workloads can be spread across multiple servers,
helping organisations achieve high performance and scalability.

NoSQL databases are generally divided into four main categories:

**Document databases:** These databases store data in document formats such as JSON
or BSON. They are commonly used for content management systems, product catalogues
and user profiles that require flexible data structures.

**Graph databases:** These databases model relationships between data through nodes
and connections. They are used in applications where relationship analysis is important,
including social networks, fraud detection, route planning and recommendation systems.

**Key-value databases:** These systems store data as a unique key and its associated
value. They are suitable for applications that require fast data access, such as
caching, session management and shopping carts.

**Wide-column databases:** These databases store data in rows and dynamic column
families. They are designed for processing large and distributed datasets and are
particularly suitable for time-series data, log records and analytical applications.

Among these categories, document databases are one of the most widely adopted NoSQL
models because of their flexible structure and developer-friendly design.

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