Full Stack Development Questions
There are several types of databases used in Full Stack Development. Some of the commonly used databases include:
1. Relational Databases: These databases store data in tables with predefined relationships between them. Examples include MySQL, PostgreSQL, and Oracle.
2. NoSQL Databases: NoSQL databases are non-relational databases that provide flexible data models and scalability. Examples include MongoDB, Cassandra, and Redis.
3. Graph Databases: Graph databases are designed to store and manage highly interconnected data. They use graph structures with nodes, edges, and properties to represent and store data. Examples include Neo4j and Amazon Neptune.
4. Key-Value Stores: Key-value stores are simple databases that store data as key-value pairs. They are highly scalable and efficient for simple data retrieval. Examples include Redis and Apache Cassandra.
5. Document Databases: Document databases store data in flexible, semi-structured documents, such as JSON or XML. They are suitable for handling unstructured or rapidly changing data. Examples include MongoDB and CouchDB.
6. Time-Series Databases: Time-series databases are optimized for handling time-stamped or time-series data, such as sensor data or log files. They provide efficient storage and retrieval of time-based data. Examples include InfluxDB and Prometheus.
The choice of database depends on the specific requirements of the application, such as data structure, scalability, performance, and data querying needs.