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NoSQL (Not Only SQL) databases are designed to handle large volumes of unstructured and semi-structured data. Unlike traditional relational databases that rely on fixed schemas and tables, NoSQL offers flexible data models and supports horizontal scaling. Introduction to NoSQL In the world of databases, there are many different ways to organize and store data. At this point, we are familiar with the concept of relational databases that store data in rows, form relationships between the tables, and query the data using SQL. However, a new type of database, NoSQL, started to rise in popularity in the early 21st century. NoSQL is short for “not-only SQL”, but is also commonly called “non-relational” or “non-SQL”. Any database ... Databases store organized data for easy access and management. Traditional relational databases use structured tables, but modern applications and big data have driven the rise of NoSQL systems. NoSQL databases handle large volumes of unstructured and semi-structured data, offering the scalability and flexibility today’s diverse workloads demand. Types of NoSQL Database NoSQL databases can be classified into four main types, based on their data storage and retrieval methods: Document-based ... Types of Database in NoSQL Here are some of the common database types that come under NoSQL: Document type databases: Here, the key gets paired with a compound data structure, i.e., document. MongoDB is an example of such type. Key-Value stores: Here, each unstructured data is stored with a key for recognizing it. Graph stores: In this type of database, data is stored mostly for networked data. It helps to relate data based on some existing data. Wide-column stores: This type of data stores ...
