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Digital Realty is a real estate investment trust that owns, operates, and invests in carrier-neutral data centers across the world. The company offers data center, colocation, and interconnection services. It was formed in 2004 by GI Partners. As of June 2023, Digital Realty has over 300 facilities in more than 25 countries.
The analysis highlights History, Art, Regions and Measurement as prominent areas in the source structure around Digital Realty.
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.
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.
High-confidence facts extracted from structured source data. Use them as anchors for further research.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
The extracted context around Digital Realty shows recurring relationship patterns in the source. For example, Digital Realty → Austin, In, In January, SBTi, Science-Based Target Initiative, Scope, Texas Another extracted example is Digital Realty → Digital Realty Trust, GoogleSEC, Inc, Official. Use these groups to spot repeated connection types before inspecting the individual relationships.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
company data digital realty million center acquired centers trust texas 2004 announced europe billion 2023 2022 arizona january gi partners
TTTA extracted 26 structured relationships around Digital Realty. Examples in this analysis include Digital Realty → Founded → 2004; 22 years ago (2004) and Digital Realty → Headquarters → Austin, Texas, U.S.. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Digital Realty | Founded | 2004; 22 years ago (2004) | 1.00 | infobox |
| Digital Realty | Headquarters | Austin, Texas, U.S. | 1.00 | infobox |
| Digital Realty | Industry | Real estate investment trust | 1.00 | infobox |
| Digital Realty | Key people | Mary Hogan Preusse (Chairman) Andrew P. Power (CEO & President) | 1.00 | infobox |
| Digital Realty | Net income | US$2.47 billion (2022) | 1.00 | infobox |
| Digital Realty | Number of employees | 3,450 (2023) | 1.00 | infobox |
| Digital Realty | Products | Data centers | 1.00 | infobox |
| Digital Realty | Revenue | US$4.69 billion (2022) | 1.00 | infobox |
| Digital Realty | Total assets | US$153.32 billion (2022) | 1.00 | infobox |
| Digital Realty | Total equity | US$9.879 billion (2019) | 1.00 | infobox |
| Digital Realty | Traded as | NYSE: DLR | 1.00 | infobox |
| Digital Realty | Traded as | S&P 500 component | 1.00 | infobox |
| Digital Realty | Type | Public company | 1.00 | infobox |
| Digital Realty | Website | digitalrealty.com | 1.00 | infobox |
| Digital Realty | is a | real estate investment trust that owns | 0.90 | text |
The concept neighborhoods around Digital Realty bring nearby vocabulary together. In this analysis, examples include Realty, Trust and Centre. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Digital Realty, one of the stronger structural bridges in this analysis connects Digital Realty 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.
TTTA analyzes the structure around Digital Realty to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Art, Regions & Measurement, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Digital Realty · EN edition · Analysis: TopicsToTalkAbout