In what scenario should you recommend the use of non-relational databases?
- When would you use a non-relational database?
- On what scenarios will you recommend NoSQL?
- When would you choose relational or non-relational database?
- What may be the most common reason to use a NoSQL database?
When would you use a non-relational database?
Non-relational databases are often used when large quantities of complex and diverse data need to be organized. For example, a large store might have a database in which each customer has their own document containing all of their information, from name and address to order history and credit card information.
On what scenarios will you recommend NoSQL?
NoSQL databases are often better suited to storing and modeling structured, semi-structured, and unstructured data in one database.
When would you choose relational or non-relational database?
To summarize the difference between the relational and non-relational databases: relational databases store data in rows and columns like a spreadsheet while non-relational databases store data don't, using a storage model (one of four) that is best suited for the type of data it's storing.
What may be the most common reason to use a NoSQL database?
The use of NoSQL databases has increased because they handle mission-critical applications so well. A NoSQL database stores & retrieves information differently than the fixed table approach used in relational databases where information is retrieved with Structured Query Language (SQL).
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