SQL

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SQL topic overview

The analysis highlights Standards, History, Art and Products as prominent areas in the source structure around SQL.

Related topics: 115
Source areas: 9
Connected nodes: 124
Extracted relationships: 184
Related term clusters: 56
Bridge connections: 124

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 30 topics

History · 21 topics

Alternatives · 17 topics

Procedural extensions · 17 topics

Syntax · 10 topics

Interoperability and standardization · 8 topics

Criticisms · 6 topics

Distributed SQL processing · 3 topics

SQL data types · 3 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Designed by: Donald D. Chamberlin Raymond F. Boyce
Developer: ISO/IEC JTC 1 (Joint Technical Committee 1) / SC 32 (Subcommittee 32) / WG 3 (Working Group 3)
Family: Query language
First appeared: 1973; 53 years ago (1973)
OS: Cross-platform
Paradigm: Declarative

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SQL

6IBM · Donald D. Chamberlin · Raymond F. Boyce

3Domain-specific language · Relational database management system · Data model

4Technical standard · American National Standards Institute · International Organization for Standardization

7Oracle Corporation · Relational database · United States Navy

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Interoperability and standardization

Syntax

Procedural extensions

Alternatives

Distributed SQL processing

Criticisms

SQL data types

For the semantics nerds

You can skip this section if you’re here for content ideas and keyword inspiration.

Advanced semantic analysis

How SQL connects Entity context

The extracted context around SQL shows recurring relationship patterns in the source. For example, SQL → ANSI, Boyce, Boyce's, Chamberlin, Codd, Data, Donald, Edgar, Engineering Limited, IBM, IBM San Jose Research, IBM's, Information, Ingres, ISO, ISO/IEC JTC, Laboratory, National Institute, NIST, QUEL Another extracted example is SQL → Approximate, BIGINT, Binary, BLOB, BooleanXML, CHAR, Character, CLOB, DATE, Datetime, DECFLOAT, DECIMAL, DOUBLE PRECISION, FLOAT, INTEGER, Interval, JSON, National, NCHAR, NCHAR VARYING. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 36

SQL → ANSI, Boyce, Boyce's, Chamberlin, Codd, Data, Donald, Edgar, Engineering Limited, IBM, IBM San Jose Research, IBM's, Information, Ingres, ISO, ISO/IEC JTC, Laboratory, National Institute, NIST, QUEL

related to Predefined data types · 29

SQL → Approximate, BIGINT, Binary, BLOB, BooleanXML, CHAR, Character, CLOB, DATE, Datetime, DECFLOAT, DECIMAL, DOUBLE PRECISION, FLOAT, INTEGER, Interval, JSON, National, NCHAR, NCHAR VARYING

related to Alternatives · 25

SQL → Berkeley Ingres, Business System, Datalog, Datalog4D Query Language, Hibernate, HTSQL, IBM, IBM BS12, Java, Java Persistence API, JavaScript API, JPQL, LINQ, MongoDB, Moshè Zloof, Net, NoSQL, Persistence Query Language, QL, Query By Example

related to Procedural extensions · 22

SQL → BASIC, DBMS, Java, Java Programming Language, JavaScript, Microsoft SQL Server, NET, Perl, PL/V8, PostgreSQL, Python, Runtime, SQL Routines, SQL Server, SQL Server Common Language, SQL/JRT, SQL/PSM, SQLCLR, Standard SQL, Tcl

related to overview · 10

SQL → Fooshould, Mimer SQL, MS SQL Server, NULLs, Oracle, Popular, PostgreSQL, SQL DBMSs, Standard SQL, Thus

related to Current standard · 9

SQL → ANSI, Application Packages, IEC, Interested, ISO, ISO/IEC, Part, SQL Multimedia, Technical

related to Design · 9

SQL → Critics, Date, Hugh Darwen, ISBN, Lock-gray-alt-2, Lock-green, Lock-red-alt-2, The Third Manifesto, Wikisource-logo

related to Syntax · 8

SQL → Boolean, Clauses, Expressions, Insignificant, Queries, Statements, The SQL, Though

related to Distributed SQL processing · 5

SQL → Distributed Relational Database Architecture, DRDA, IBM, RDB, RDBs

related to Reasons for incompatibility · 5

SQL → Little, Many, Several, The SQL, Users

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

database language standard data relational query types model iso statements standards chamberlin many queries system one ibm also structured management

SQL relationships Subject–Predicate–Object triples

TTTA extracted 184 structured relationships around SQL. Examples in this analysis include SQL → Designed by → Donald D. Chamberlin Raymond F. Boyce and SQL → Developer → ISO/IEC JTC 1 (Joint Technical Committee 1) / SC 32 (Subcommittee 32) / WG 3 (Working Group 3). The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
SQL	Designed by	Donald D. Chamberlin Raymond F. Boyce	1.00	infobox
SQL	Developer	ISO/IEC JTC 1 (Joint Technical Committee 1) / SC 32 (Subcommittee 32) / WG 3 (Working Group 3)	1.00	infobox
SQL	Family	Query language	1.00	infobox
SQL	First appeared	1973; 53 years ago (1973)	1.00	infobox
SQL	OS	Cross-platform	1.00	infobox
SQL	Paradigm	Declarative	1.00	infobox
SQL	Stable release	SQL:2023 / June 2023; 3 years ago (2023-06)	1.00	infobox
SQL	Typing discipline	Static, strong	1.00	infobox
SQL	Website	www.iso.org/standard/76583.html	1.00	infobox
SQL	is a	set-based	0.90	text
ISAM or VSAM	instance of	write APIs	0.80	text
performance higher in their priorities than standards conformance.Standardization historySQL was adopted as a standard by the ANSI in 1986 as SQL-86	instance of	Users evaluating database software tend to place other factors	0.80	text

Related concept clusters Related term clusters

The concept neighborhoods around SQL bring nearby vocabulary together. In this analysis, examples include Standard, Database and Relational. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

data
- Query
- Management
- Types
- Statements
- Relational
- Structured
- Sql
- System
- Language
- Database
- Used
- May
sum types
- Data
- Extensions
- See
- Query
- Language
- Standard
- Statements
- Sql
- Declarative
- Described
- Relational
- Alternatives
data types
- Query
- Management
- Data
- Types
- Statements
- Relational
- Structured
- Extensions
- See
- Sql
- System
- Language
sql data types
- Standard
- Query
- Management
- Data
- Types
- Statements
- Database
- Relational
- Structured
- Extensions
- See
- Sql
SQL
- Standard
- Database
- Relational
- Statements
- Data
- Implementations
- Iso
- Model
- Standards
- Types
- Alternatives
- Code
sql
- Standard
- Database
- Relational
- Statements
- Data
- Implementations
- Iso
- Model
- Standards
- Types
- Alternatives
- Code
domain-specific language
- Query
- Sql
- Relational
- Database
- Declarative
- Used
- Alternatives
- Procedural
- Structured
- Ibm
- Data
- Types
relational database management system
- System
- Model
- Ibm
- Database
- Relational
- Used
- Query
- Language
- Sql
- Sequel
- Structured
- Systems

Connections between topic areas Semantic bridges

For SQL, one of the stronger structural bridges in this analysis connects SQL with Overview. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

SQL — Overview · splits 94 ⟂ 31

SQL — History · splits 103 ⟂ 22

SQL — Procedural extensions · splits 107 ⟂ 18

SQL — Alternatives · splits 107 ⟂ 18

SQL — Syntax · splits 114 ⟂ 11

SQL — Interoperability and standardization · splits 116 ⟂ 9

SQL — Criticisms · splits 118 ⟂ 7

SQL — Distributed SQL processing · splits 121 ⟂ 4

SQL — SQL data types · splits 121 ⟂ 4

Map overview Semantic statistics

SQL

Nodes125

Edges124

Triples184

Avg. degree1.98

Density0.016

Components1

Source & methodology

TTTA analyzes the structure around SQL to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Standards, History, Art & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — SQL · EN edition · Analysis: TopicsToTalkAbout

SQL: Standards, History, Art & Products

SQL topic overview

What this topic covers Research coverage

Key facts & relationships

Start with your topic. Discover where to go next.

Questions to explore

Explore all related topics Closing gaps

Overview

History

Interoperability and standardization

Syntax

Procedural extensions

Alternatives

Distributed SQL processing

Criticisms

SQL data types

For the semantics nerds

Advanced semantic analysis

How SQL connects Entity context

SQL

Top relations

Important terminology

Important terminology

SQL relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

SQL

Source & methodology