NoSQL stands for “non-relational database.” NoSQL databases are a type of database that is not relational. This means it does not use tables to store data. Instead, the data in a no SQL database is stored as documents and key-value pairs.
In general terms, “NoSQL” refers most commonly to the class of non-relational database management systems (NODBMS) that are not based on tables containing predefined columns.
NoSQL databases are a great choice for many businesses. They provide faster performance than traditional relational databases, and have much more flexibility in terms of data structures and data modeling. However, there are also some drawbacks to NoSQL that you should know about before deciding whether or not it is the right database system for your business.
The benefits of this approach include being able to handle large amounts of unstructured data, fast reads, and flexible schema changes. However, there are also many drawbacks such as limited querying capabilities and difficulty with scalability when compared to relational databases like MySQL or Oracle Database Server .
The following are the pros and cons of NoSQL databases.
- Data is not stored in tables; instead it’s stored as documents or key-value pairs, which makes these types of databases easier to scale than relational ones.
- Ability to handle large amounts of unstructured data without much difficulty due to more flexible schema changes.
- Limited querying capabilities when compared with relational databases like MySQL or Oracle Database Server . This means that you can only search your database for a specific type of document or variable rather than searching by content – this limits scalability because there is no way for searches to be executed efficiently across all parts if your dataset uses queries from SQL and other languages such as PHP, Python, Ruby etc…