NoSQL | Data | Database
NoSQL (Not Only SQL) is a type of database designed to handle large amounts of structured, semi-structured or unstructured data, usually distributed across a large number of servers or nodes. NoSQL databases are widely used for storing and processing large amounts of data, handling high levels of concurrency, and for applications that require flexible, scalable data storage.
There are several different types of NoSQL databases, including:
Key-value stores: These databases store data as a mapping of keys to values and are optimized for quick access to data using the key. Examples of this are Redis and DynamoDB.
Document databases: These databases store data as documents, which are usually JSON or XML objects. Document databases are designed for flexibility and scalability and are often used to store and query large amounts of semi-structured data. Examples include MongoDB and Couchbase.
Columnar storage: These databases store data as columns of data within a row and are optimized for fast access to large amounts of data within a single row. Examples of this are Cassandra and HBase.
Graph databases: These databases store data in the form of a graph of interconnected nodes and are commonly used for applications that require fast querying of complex relationships between data points. Examples include Neo4j and OrientDB.
NoSQL databases are often used in conjunction with related technologies such as distributed systems, Big Data processing frameworks, and cloud computing platforms. Some popular NoSQL databases have their own associated tools and ecosystem, such as MongoDB’s MongoDB Atlas and Redis’ Redis Enterprise.
BITS experts have used NoSQL in a variety of projects. A selection of case studies and references can be found below.
