Title: NoSQL Author: Kriko Published: Jun 8, 2023 Last modified: Jul 7, 2026 --- 1. [Home](https://kriko.io/) / 2. [Glossary](https://kriko.io/glossary) / 3. N Letter # 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](https://kriko.io/services/data-analysis-insight) requirements of modern applications. Their flexible schema models allow [data](https://kriko.io/services/data-analysis-insight) structures to be updated more easily according to application needs. [Data](https://kriko.io/services/data-analysis-insight) 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](https://kriko.io/services/data-analysis-insight) processing. For this reason, they are widely used in real-time web applications, big [data](https://kriko.io/services/data-analysis-insight) 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](https://kriko.io/services/data-analysis-insight) more flexibly. They can adapt quickly to changes in application architecture or [data](https://kriko.io/services/data-analysis-insight) models. This simplifies development processes and allows [data](https://kriko.io/services/data-analysis-insight) 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](https://kriko.io/services/data-analysis-insight) 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](https://kriko.io/services/data-analysis-insight) 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. ## Discover it in the dictionary ### Customer Data Platform (CDP) A Customer Data Platform, commonly abbreviated as CDP, is a software platform that collects and unifies customer data from multiple sources to create centralised… ### Return on Ad Spend (ROAS) ROAS stands for Return on Ad Spend and refers to the revenue generated from advertising spend. 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