Logo
Unionpedia
Communication
Get it on Google Play
New! Download Unionpedia on your Android™ device!
Free
Faster access than browser!
 

SQL and SQL/Schemata

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between SQL and SQL/Schemata

SQL vs. SQL/Schemata

SQL (S-Q-L, "sequel"; Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). The SQL/Schemata, or Information and Definition Schemas, part to the SQL standard is defined by ISO/IEC 9075-11:2008.

Similarities between SQL and SQL/Schemata

SQL and SQL/Schemata have 4 things in common (in Unionpedia): Data definition language, SQL, SQL:2003, SQL:2008.

Data definition language

A data definition language or data description language (DDL) is a syntax similar to a computer programming language for defining data structures, especially database schemas.

Data definition language and SQL · Data definition language and SQL/Schemata · See more »

SQL

SQL (S-Q-L, "sequel"; Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).

SQL and SQL · SQL and SQL/Schemata · See more »

SQL:2003

SQL:2003 is the fourth revision of the SQL database query language.

SQL and SQL:2003 · SQL/Schemata and SQL:2003 · See more »

SQL:2008

SQL:2008 is the sixth revision of the ISO and ANSI standard for the SQL database query language.

SQL and SQL:2008 · SQL/Schemata and SQL:2008 · See more »

The list above answers the following questions

SQL and SQL/Schemata Comparison

SQL has 173 relations, while SQL/Schemata has 9. As they have in common 4, the Jaccard index is 2.20% = 4 / (173 + 9).

References

This article shows the relationship between SQL and SQL/Schemata. To access each article from which the information was extracted, please visit:

Hey! We are on Facebook now! »