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Database Query Languages Comparison: MySQL's SQL vs. Couchbase N1QL (SQL for JSON) & MongoDB Query

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NoSQL Document databases are challenging conventional RDBMS thinking with regard to scale, flexibility and performance. The question remains, do their query languages address the needs of developers as well or better than tried and true SQL?  This report takes the query language challenge to Couchbase and MongoDB using MySQL as the reference baseline. 

This report from independent firm, Altoros, uses 7 different criteria to evaluate Couchbase N1QL and MongoDB Query against MySQL’s SQL. The criteria scores each language according to how simple, readable, expressive, and flexible they are, and then how many lines of code must be written per query, and finally, when the query runs, how many application-to-database trips must be made before it completes. 

Vendor:
Couchbase
Posted:
30 Oct 2019
Published:
30 Oct 2019
Format:
PDF
Length:
8 Page(s)
Type:
White Paper
Language:
English

This resource is no longer available.