Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Datapipe: History, Art, Technology & Regions

Datapipe was a provider of managed hosting services and data centers for information technology services and cloud computing with data centers in Somerset, New Jersey, San Jose, California, the United Kingdom, and China. The company was founded in 1998 and is headquartered in Jersey City, New Jersey. Since 2011, more data centers have been added…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Datapipe topic overview

The analysis highlights History, Art, Technology and Regions as prominent areas in the source structure around Datapipe.

Related topics
28
Source areas
3
Connected nodes
31
Extracted relationships
42
Concept neighborhoods
17
Bridge connections
31

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.

Services · 16 topics
Overview · 8 topics
History · 4 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
1998
Industry
IT Services
Headquarters
Jersey City, New Jersey, United States
Area served
Worldwide
Parent
Rackspace
Type
Subsidiary

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.

Overview

History

Services

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 Datapipe connects Entity context

The extracted context around Datapipe shows recurring relationship patterns in the source. For example, Datapipe → Amazon Web Services, Audit, Auditing Standards No, CloudFront, Datapipe Managed Cloud, Datapipe’s San Jose, EC2, Elastic Compute Cloud, EPA Green Power Partner, Microsoft Gold Certified Partner, PCI Security Standards Council, RDS, Relational Database Service, S3, SAS, Somerset One Data Centers, Statement, The, These, Type II Another extracted example is Datapipe → As, Asia, Europe, Hoboken, In, NJ, November, On September, Originally, Rackspace, Robb Allen, SaaS, The, Today. Use these groups to spot repeated connection types before inspecting the individual relationships.

Datapipe

Top relations

related to Services · 21
Datapipe → Amazon Web Services, Audit, Auditing Standards No, CloudFront, Datapipe Managed Cloud, Datapipe’s San Jose, EC2, Elastic Compute Cloud, EPA Green Power Partner, Microsoft Gold Certified Partner, PCI Security Standards Council, RDS, Relational Database Service, S3, SAS, Somerset One Data Centers, Statement, The, These, Type II
related to history · 14
Datapipe → As, Asia, Europe, Hoboken, In, NJ, November, On September, Originally, Rackspace, Robb Allen, SaaS, The, Today
Area served · 1
Datapipe → Worldwide
Founded · 1
Datapipe → 1998
Headquarters · 1
Datapipe → Jersey City, New Jersey, United States
Industry · 1
Datapipe → IT Services
Parent · 1
Datapipe → Rackspace
Type · 1
Datapipe → Subsidiary
Website · 1
Datapipe → www.datapipe.com

Important terminology

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

Important terminology

services company data jersey new center announced managed hosting centers founded city cloud somerset including website united rackspace office technology

Datapipe relationships Subject–Predicate–Object triples

TTTA extracted 42 structured relationships around Datapipe. Examples in this analysis include Datapipe → Area served → Worldwide and Datapipe → Founded → 1998. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
DatapipeArea servedWorldwide1.00infobox
DatapipeFounded19981.00infobox
DatapipeHeadquartersJersey City, New Jersey, United States1.00infobox
DatapipeIndustryIT Services1.00infobox
DatapipeParentRackspace1.00infobox
DatapipeTypeSubsidiary1.00infobox
DatapipeWebsitewww.datapipe.com1.00infobox
Datapiperelated to historyIn0.60section
Datapiperelated to historyRobb Allen0.60section
Datapiperelated to historyOriginally0.60section
Datapiperelated to historyHoboken0.60section
Datapiperelated to historyNJ0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Datapipe bring nearby vocabulary together. In this analysis, examples include Announced, Services and Jersey. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Datapipe
    • Announced
    • Services
    • Jersey
    • Cloud
    • Managed
    • New
    • Data
    • Amazon
    • China
    • Headquarters
    • Rackspace
    • September
  • datapipe
    • Announced
    • Services
    • Jersey
    • Cloud
    • Managed
    • New
    • Data
    • Amazon
    • China
    • Headquarters
    • Rackspace
    • September
  • data centers
    • Jose
    • San
    • Center
    • Somerset
    • Centers
    • Data
    • Moscow
    • Added
    • China
    • Singapore
    • Technology
    • Type
  • managed services
    • Amazon
    • Services
    • Company
    • Asia
    • Jose
    • November
    • Providing
    • San
    • Technology
    • United
    • Including
    • Office
  • amazon web services
    • Cloud
    • Managed
    • November
    • Company
    • Including
    • Amazon
    • Asia
    • Providing
    • Services
    • Technology
    • United
    • Office
  • services
    • Company
    • Amazon
    • Asia
    • Providing
    • Technology
    • United
    • Including
    • Office
    • Website
    • New
    • Com
    • Founded
  • jersey city, new jersey
    • New
    • Founded
    • Headquarters
    • City
    • Jersey
    • United
    • Com
    • Nj
    • Rackspace
    • September
    • Type
    • Added
  • exchange place, jersey city
    • New
    • Founded
    • Headquarters
    • City
    • Jersey
    • United
    • Com
    • Nj
    • Rackspace
    • September
    • Type
    • Website

Connections between topic areas Semantic bridges

For Datapipe, one of the stronger structural bridges in this analysis connects Datapipe with Services. 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
Datapipe — Services · splits 15 ⟂ 17
Datapipe — Overview · splits 23 ⟂ 9
Datapipe — History · splits 27 ⟂ 5

Map overview Semantic statistics

Datapipe

Nodes32
Edges31
Triples42
Avg. degree1.94
Density0.0625
Components1

Source & methodology

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

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

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.