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Informatica Inc. is an American software development company founded in 1993 by Gaurav Dhillon and Diaz Nesamoney. Based in Redwood City, California, its core products include enterprise cloud data management and data integration.
The analysis highlights History, Products and Companies as prominent areas in the source structure around Informatica.
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 Informatica shows recurring relationship patterns in the source. For example, Informatica → April, CPP Investments, Diaz Nesamoney, Gaurav Dhillon, In April, INFA, Microsoft, Nasdaq, On, Permira, Salesforce Ventures, US Another extracted example is Informatica → AI-powered, In, Informatica's, It, These. 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.
data salesforce products announced cloud management redwood city california billion founded 1993 gaurav dhillon diaz nesamoney software company infa inc
TTTA extracted 38 structured relationships around Informatica. Examples in this analysis include Informatica → Fate → Acquired by Salesforce and Informatica → Founded → 1993; 33 years ago (1993). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Informatica | Fate | Acquired by Salesforce | 1.00 | infobox |
| Informatica | Founded | 1993; 33 years ago (1993) | 1.00 | infobox |
| Informatica | Founders | Gaurav Dhillon | 1.00 | infobox |
| Informatica | Founders | Diaz Nesamoney | 1.00 | infobox |
| Informatica | Headquarters | Redwood City, California, U.S. | 1.00 | infobox |
| Informatica | Industry | Software | 1.00 | infobox |
| Informatica | Key people | Amit Walia (CEO) | 1.00 | infobox |
| Informatica | Key people | Bruce Chizen (chair) | 1.00 | infobox |
| Informatica | Net income | US$9.93 million (2024) | 1.00 | infobox |
| Informatica | Number of employees | 5,200 (2024) | 1.00 | infobox |
| Informatica | Operating income | US$127 million (2024) | 1.00 | infobox |
| Informatica | Products | Data warehousing tools | 1.00 | infobox |
| Informatica | Products | ETL tools | 1.00 | infobox |
| Informatica | Products | Big data tools | 1.00 | infobox |
| Informatica | Revenue | US$1.64 billion (2024) | 1.00 | infobox |
| Informatica | Total assets | US$5.28 billion (2024) | 1.00 | infobox |
| Informatica | Total equity | US$2.31 billion (2024) | 1.00 | infobox |
| Informatica | Traded as | NYSE: INFA (Class A) | 1.00 | infobox |
| Informatica | Traded as | Russell 1000 component | 1.00 | infobox |
| Informatica | Type | Public | 1.00 | infobox |
| Informatica | Website | informatica.com | 1.00 | infobox |
The concept neighborhoods around Informatica bring nearby vocabulary together. In this analysis, examples include Company, Billion and Acquire. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Informatica, one of the stronger structural bridges in this analysis connects Informatica with Products. 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 Informatica to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — Informatica · EN edition · Analysis: TopicsToTalkAbout