Database

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Database topic overview

The analysis highlights History, Applications, Research and Products as prominent areas in the source structure around Database.

Related topics: 312
Source areas: 17
Connected nodes: 330
Extracted relationships: 246
Related term clusters: 139
Bridge connections: 330

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.

History · 108 topics

Classification terms · 55 topics

Design and modeling · 26 topics

Overview · 25 topics

Database languages · 15 topics

Research · 15 topics

Database management system · 14 topics

Application · 10 topics

Terminology · 10 topics

Transactions and concurrency · 8 topics

Storage · 7 topics

Use cases · 6 topics

Security · 5 topics

Miscellaneous features · 4 topics

Building, maintaining, and tuning · 2 topics

Migration · 1 topics

Static analysis · 1 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.

Start with your topic. Discover where to go next.

Explore different angles and find fresh ideas to shape your next piece of content.

Database

6Computing · Data (computing) · Data store

9Computer scientists · Database model · Relational database

10File system · Computer clusters · Cloud storage

9Programmer · Computer programming · Datasource

9Relational model · Edgar F. Codd · Entity

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.

Terminology

History

Use cases

Classification terms

Database management system

Application

Database languages

Storage

Security

Transactions and concurrency

Migration

Total cost of ownership

Building, maintaining, and tuning

Static analysis

Abstract interpretation

Miscellaneous features

Research

For the semantics nerds

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

Advanced semantic analysis

How Database connects Entity context

The extracted context around Database shows recurring relationship patterns in the source. For example, Database → ACNielsen, ACP, Also, Another, Data, DBMS, DBMSs, Document-oriented, End-user, Examples, FDBMS, General, Hypertext, KB, Main, Many, NoSQL, NoSQL DBMS, One, Open APIs Another extracted example is Database → Begg, Connolly, DBMS, DDBMS, Examples, MariaDB, Microsoft Access, Microsoft SQL Server, MySQL, OODBMS, Oracle Database, ORDBMS, PostgreSQL, RDBMS, The DBMS. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to Classification terms · 25

Database → ACNielsen, ACP, Also, Another, Data, DBMS, DBMSs, Document-oriented, End-user, Examples, FDBMS, General, Hypertext, KB, Main, Many, NoSQL, NoSQL DBMS, One, Open APIs

related to Database management system · 15

Database → Begg, Connolly, DBMS, DDBMS, Examples, MariaDB, Microsoft Access, Microsoft SQL Server, MySQL, OODBMS, Oracle Database, ORDBMS, PostgreSQL, RDBMS, The DBMS

related to Late 1970s, SQL DBMS · 15

Database → CODASYL, Codd, Codd's, Ellison, IBM, IBM Db2, IBM's, Larry Ellison's Oracle Database, Oracle, Oracle Version, SQL, SQL/DS, Subsequent, System, Though Oracle V1

related to 1970s, relational DBMS · 13

Database → California, CODASYL, Codd, Codd's, Data, Edgar, IBM, Large Shared Data Banks, One, Relational Model, San Jose, Splitting, Virtual

related to Research · 12

Database → ACM PODS, ACM SIGMOD, ACM Transactions, Data, Database Systems-TODS, IBM Research, IEEE ICDE, Knowledge Engineering-DKE, Notable, RAID, Research, VLDB

related to Integrated approach · 11

Database → Another, Britton Lee, Exadata, Examples, IBM System/38, ICL's CAFS, Inc, Netezza, Oracle, Teradata, Thus

related to 1960s, navigational DBMS · 10

Database → California, Charles Bachman, COBOL, CODASYL, Database Task Group, IDS, Integrated Data Store, Interest, System Development Corporation, The Oxford English Dictionary

related to 1980s, on the desktop · 9

Database → BASIC, Besides IBM, COBOL, DEC's VAX Rdb/VMS, FORTRAN, Informix Corporation, Lotus, Sybase, Wayne Ratliff

related to Application program interface · 8

Database → ADO, API, API's, DBMS, JDBC, NET, ODBC, Some API's

related to Design and modeling · 7

Database → Another, Designing, Dubai, Frankfurt, New York, Producing, Unified Modeling Language

Important terminology

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

Important terminology

data dbms databases model relational system storage used use sql one information access systems application management applications users query may

Database relationships Subject–Predicate–Object triples

TTTA extracted 246 structured relationships around Database. Examples in this analysis include Database → is a → organized collection of data or a type of data store based on the use of a database management system and Database → is a → database that primarily resides in main memory. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Database	is a	organized collection of data or a type of data store based on the use of a database management system	0.90	text
Database	is a	database that primarily resides in main memory	0.90	text
Database	is a	kind of NoSQL database that uses graph structures with nodes	0.90	text
magnetic disks	instance of	The concept of a database was made possible by the emergence of direct access storage media	0.80	text
which became widely available in the mid-1960s	instance of	The concept of a database was made possible by the emergence of direct access storage media	0.80	text
Sybase	instance of	on the desktopBesides IBM and various software companies	0.80	text
Informix Corporation	instance of	on the desktopBesides IBM and various software companies	0.80	text
most large computer hardware vendors by the 1980s had their own database systems such as DEC's VAX Rdb/VMS	instance of	on the desktopBesides IBM and various software companies	0.80	text
MySQL has grown since 2000	instance of	The popularity of open source databases	0.80	text
to the extent that Ken Jacobs of Oracle said in 2005 that perhaps	instance of	The popularity of open source databases	0.80	text
Neo4j	instance of	including graph databases	0.80	text
represent data as nodes	instance of	including graph databases	0.80	text

Related concept clusters Related term clusters

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

Database
- Dbms
- Model
- System
- Management
- Application
- Storage
- Relational
- Systems
- Access
- Information
- Users
- Design
database
- Dbms
- Model
- System
- Management
- Application
- Storage
- Relational
- Systems
- Access
- Information
- Users
- Design
data
- Database
- Model
- Databases
- Access
- Storage
- One
- Used
- Information
- Relational
- Use
- Conceptual
- External
data store
- Database
- Model
- Databases
- Access
- Storage
- One
- Used
- Information
- Relational
- Use
- Conceptual
- External
software
- Computer
- Access
- Users
- System
- Systems
- Internal
- Relational
- Application
- Sql
- Use
- Design
- Large
end users
- Security
- Software
- Information
- Conceptual
- Access
- Use
- Management
- Database
- Sql
- System
- Different
- Also
file system
- Ibm
- Dbms
- Software
- Use
- Access
- Databases
- Users
- Also
- Relational
- Application
- Sql
- Information
computer clusters
- Software
- Storage
- Access
- Systems
- Large
- Management
- Relational
- Models
- Design
- Internal
- Needed
- Language

Connections between topic areas Semantic bridges

For Database, one of the stronger structural bridges in this analysis connects Database with History. 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

Database — History · splits 221 ⟂ 110

Database — Classification terms · splits 275 ⟂ 56

Database — Design and modeling · splits 304 ⟂ 27

Database — Overview · splits 305 ⟂ 26

Database — Database languages · splits 315 ⟂ 16

Database — Research · splits 315 ⟂ 16

Database — Database management system · splits 316 ⟂ 15

Database — Terminology · splits 320 ⟂ 11

Database — Application · splits 320 ⟂ 11

Database — Transactions and concurrency · splits 322 ⟂ 9

Database — Storage · splits 323 ⟂ 8

Database — Use cases · splits 324 ⟂ 7

Database — Security · splits 325 ⟂ 6

Database — Miscellaneous features · splits 326 ⟂ 5

Database — Building, maintaining, and tuning · splits 328 ⟂ 3

Map overview Semantic statistics

Database

Nodes331

Edges330

Triples246

Avg. degree1.99

Density0.006042

Components1

Source & methodology

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

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

Database: History, Applications, Research & Products

Database 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

Terminology

History

Use cases

Classification terms

Database management system

Application

Database languages

Storage

Security

Transactions and concurrency

Migration

Building, maintaining, and tuning

Static analysis

Miscellaneous features

Design and modeling

Research

For the semantics nerds

Advanced semantic analysis

How Database connects Entity context

Database

Top relations

Important terminology

Important terminology

Database relationships Subject–Predicate–Object triples

Related concept clusters Related term clusters

Connections between topic areas Semantic bridges

Map overview Semantic statistics

Database

Source & methodology