Which Tool - SQL vs. NoSQL?
When To Use SQL or NoSQL. When NoSQL first came out, some SQL developers dismissed it immediately. In fact, some employees at Oracle wrote a white paper about how NoSQL "spun" its benefits that were really costs. They were wrong because they didn't understand documents and where these applied. As more people have adopted NoSQL, the opposite problem has also occurred - overuse.
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In the video, we look at an example of when we may use one or the other for the same relative situation. It's never a "you-must-use" or "you-must-not-use" situation and cost may be the biggest factor in our choice. People who are unfamiliar with NoSQL and its uses will often throw it at everything, racking up big costs. We have to know why we're using the technology first and where it's appropriate in our environment.
NoSQL databases differ from SQL databases in that they are not based on relationships.
A structured query language and a predetermined schema are both features of SQL databases. Unstructured data can be stored in NoSQL databases with dynamic schemas.
Both SQL and NoSQL databases are scalable vertically, however only NoSQL databases are scalable horizontally.
NoSQL databases are document, key-value, graph, or wide-column stores, whereas SQL databases are table-based.
NoSQL databases are better for unstructured data, such as documents or JSON, than SQL databases.
SSMS is very popular among users but it can be enhanced with dbForge SQL Tools.