Source: thenewstack.io
Why the Document Model Is More Cost-Efficient Than RDBMS
A relational database management system (RDBMS) is great at answering random questions. A normalized data model represents the lowest common denominator for data.
Before the RDBMS existed, this required software engineering skills and a significant time investment to write the code required to query data stored in a legacy hierarchical management system (HMS).
Critics of the RDBMS quickly pointed out that the time complexity, or the time required to query a normalized data model was very high compared to HMS.
Normalized data models used by RDBMS solutions rely on cheap CPU cycles to enable efficient solutions.
Before the RDBMS existed, this required software engineering skills and a significant time investment to write the code required to query data stored in a legacy hierarchical management system (HMS).
Critics of the RDBMS quickly pointed out that the time complexity, or the time required to query a normalized data model was very high compared to HMS.
Normalized data models used by RDBMS solutions rely on cheap CPU cycles to enable efficient solutions.
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