Teradata

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Teradata topic overview

The analysis highlights Technology, History, Companies and Products as prominent areas in the source structure around Teradata.

Related topics: 47
Source areas: 3
Connected nodes: 50
Extracted relationships: 150
Concept neighborhoods: 22
Bridge connections: 50

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 · 23 topics

Overview · 12 topics

Technology and products · 12 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.

Founded: 1979; 47 years ago (1979)
Industry: Software
Headquarters: San Diego, California, U.S.
Key people: Steve McMillan (CEO)
Net income: US$114 million (2024)
Number of employees: c. 5,700 (Dec 2024)

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.

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Teradata connects Entity context

The extracted context around Teradata shows recurring relationship patterns in the source. For example, Teradata → AT, Brentwood, Britton Lee, California, California Institute, Carroll Reed, Ceres Integrated Solutions, Citibank, Citibank's, Corporation, David Hartke, DBC/1012, December, DecisionPoint, In, In January, In September, Jack, Jerold, Koehler Another extracted example is Teradata → Appoxxee, Aprimo, Aster Data Systems, August, Business Intelligence, Clarabridge, Claraview, DBMS, December, FLXone, Hadoop, In, In December, In March, In September, January, Kickfire, May, MiaPearl, Netherlands-based. Use these groups to spot repeated connection types before inspecting the individual relationships.

Top relations

related to history · 42

Teradata → AT, Brentwood, Britton Lee, California, California Institute, Carroll Reed, Ceres Integrated Solutions, Citibank, Citibank's, Corporation, David Hartke, DBC/1012, December, DecisionPoint, In, In January, In September, Jack, Jerold, Koehler

related to Acquisitions and divestitures · 26

Teradata → Appoxxee, Aprimo, Aster Data Systems, August, Business Intelligence, Clarabridge, Claraview, DBMS, December, FLXone, Hadoop, In, In December, In March, In September, January, Kickfire, May, MiaPearl, Netherlands-based

related to overview · 17

Teradata → Africa, Asia, Atlanta, California, Europe, February, It, Latin America, Middle East, New York Stock Exchange, North, NYSE, San Diego, San Francisco, Steve McMillan, TDC, The

related to Technology and products · 17

Teradata → AI, Amazon Web Services, ClearScape Analytics, In July, In March, In September, IntelliCloud, IntelliFlex, Microsoft Azure, ModelOps, Teradata Everywhere, Teradata IntelliCloud, Teradata's, Teradata's Managed Cloud, The, The Teradata Analytics Platform, VMware

related to Old hardware line end of support · 8

Teradata → All, Area Director, IntelliFlex, Platform Sales Discontinuation Date, Platform Support Discontinuation, R740, The, To

related to Big data · 6

Teradata → Aster Data Systems, CTO Stephen Brobst, For Teradata, MapReduce, Petabyte, The

related to Teradata Vantage analytics · 6

Teradata → Aster, In October, Spark, TensorFlow, The, Vantage

related to External links · 5

Teradata → GoogleSEC, Media, Teradata Corporation, Wikimedia Commons Official, Wiktionary-logo-en-v2

Traded as · 2

Teradata → NYSE: TDC, S&P 600 component

Founded · 1

Teradata → 1979; 47 years ago (1979)

Important terminology

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

Important terminology

data company acquired software analytics cloud million big products services database support california platform vantage technology business public hardware corporation

Teradata relationships Subject–Predicate–Object triples

TTTA extracted 150 structured relationships around Teradata. Examples in this analysis include Teradata → Founded → 1979; 47 years ago (1979) and Teradata → Headquarters → San Diego, California, U.S.. The table shows each extracted connection, where it came from and its confidence.

Subject	Predicate	Object	Confidence	Src
Teradata	Founded	1979; 47 years ago (1979)	1.00	infobox
Teradata	Headquarters	San Diego, California, U.S.	1.00	infobox
Teradata	Industry	Software	1.00	infobox
Teradata	Key people	Steve McMillan (CEO)	1.00	infobox
Teradata	Net income	US$114 million (2024)	1.00	infobox
Teradata	Number of employees	c. 5,700 (Dec 2024)	1.00	infobox
Teradata	Operating income	US$209 million (2024)	1.00	infobox
Teradata	Products	Data warehousing tools Analytics tools Big data tools	1.00	infobox
Teradata	Revenue	US$1.75 billion (2024)	1.00	infobox
Teradata	Services	SaaS	1.00	infobox
Teradata	Total assets	US$1.70 billion (2024)	1.00	infobox
Teradata	Total equity	US$133 million (2024)	1.00	infobox
Teradata	Traded as	NYSE: TDC	1.00	infobox
Teradata	Traded as	S&P 600 component	1.00	infobox
Teradata	Type	Public	1.00	infobox
Teradata	Website	www.teradata.com	1.00	infobox

Related concept clusters Concept neighborhoods

The concept neighborhoods around Teradata bring nearby vocabulary together. In this analysis, examples include Acquired, Business and December. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

software
- Teradata
- Acquired
- Cloud
- Analytics
- Database
- Provider
- Company
- Vantage
- Products
- Services
- Million
- End
analytics-related software
- Teradata
- Acquired
- Cloud
- Analytics
- Database
- Provider
- Company
- Vantage
- Products
- Services
- Million
- End
enterprise software
- Teradata
- Acquired
- Cloud
- Analytics
- Database
- Provider
- Company
- Vantage
- Products
- Services
- Million
- End
at&t corporation
- Vantage
- Products
- San
- Announced
- December
- End
- Ncr
- September
- Hardware
- Public
- Technology
- Software
ncr corporation
- Announced
- Vantage
- Products
- San
- Chief
- December
- End
- Ncr
- September
- Systems
- Hardware
- Public
aster data systems
- Teradata
- San
- Intelliflex
- Service
- Chief
- Ncr
- Products
- Services
- Acquired
- Technology
- Teradata's
- Analytics
software as a service
- Teradata
- Acquired
- Cloud
- Analytics
- Database
- Provider
- Company
- Vantage
- Products
- Services
- Million
- Intelliflex
big data
- Data
- Teradata
- Products
- San
- Service
- Technology
- Analytics
- Intelliflex
- Services
- Acquired
- Systems
- Software

Connections between topic areas Semantic bridges

For Teradata, one of the stronger structural bridges in this analysis connects Teradata 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

Teradata — History · splits 27 ⟂ 24

Teradata — Overview · splits 38 ⟂ 13

Teradata — Technology and products · splits 38 ⟂ 13

Map overview Semantic statistics

Teradata

Nodes51

Edges50

Triples150

Avg. degree1.96

Density0.039216

Components1

Source & methodology

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

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