Webservers can communicate with databases to store and recall data. ## Relation vs. Non-Relational: Relational databases are often referred to as SQL databases, which organize data into tables with rows and columns to establish relationships between the tables using foreign keys. Example Table: | id | name | name | age | | --- | ------- | ------- | ---- | | 1 | ape | harambe | 600 | | 2 | pupp | tuff | 20 | | 3 | skyking | legend | 1000 | This structured approach is meant to ensure data integrity and consistency through ==ACID== (Atomicity, Consistency, Isolation, Durability) properties. Relational databases are great for scenarios where data integrity and complex transactions are of the highest priority. Environments such as financial systems, inventory management, or applications requiring precise and consistent data. This rigid schema enforces data quality and allows for complex queries using SQL. This same rigidity can become a bottleneck when dealing with rapidly changing data structures or massive datasets. --- As for ==Non-relational== databases (also known as NoSQL), they offer more flexible data models by often sacrificing strict consistency for scalability and performance. This does however allow for optimized use cases. Document databases, key-value stores, column-oriented databases, and graph databases each offer unique advantages in terms of scalability, performance, and data model flexibility. NoSQL came about in the late 2000s as the cost of storage decreased. NoSQL can store relationship data, stores data differently compared to relational databases and is non-tabular. ### The Four Vs of Big Data: *Data Volume, Velocity, Variety, and Veracity* If the need is to handle massive amounts of unstructured or semi-structured data with high velocity, a NoSQL database might be a better fit over alternatives. If data integrity and complex relationships are critical, then a relational database is likely the better option. For modern applications, the utilization of a ==hybrid approach== can leverage both relational and non-relational databases to optimize performance and scalability. For example, a social media platform might use a relational database to store user profiles and relationships, while using a graph database to manage social connections and recommendations. An e-commerce platform might use a relational database for order processing and inventory management, while using a document database to store product catalogs with varying attributes.