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Cloudant is an IBM software product, which is primarily delivered as a cloud-based service. Cloudant is a non-relational, distributed database service of the same name. Cloudant is based on the Apache-backed CouchDB project and the open source BigCouch project.
The analysis highlights History, Companies and Products as prominent areas in the source structure around Cloudant.
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 Cloudant shows recurring relationship patterns in the source. For example, Cloudant → Adam Kocoloski, Alan Hoffman, Apache License, August, Avalon Ventures, BigCouch, Combinator, In, In August, January, Large Hadron Collider, Michael Miller, MIT, Relativistic Heavy Ion Collider, Silicon Valley, The Another extracted example is Cloudant → Application, Chained MapReduce ViewsJava Language, Cloudant's, CouchDB, Java, View Server. 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.
couchdb ibm bigcouch service data database analytics software cloud cloudant's march apache based 2010 project distributed name provides nosql computing
TTTA extracted 34 structured relationships around Cloudant. Examples in this analysis include Cloudant → Developers → Original development by Cloudant, now developed by IBM, based on Apache CouchDB and Cloudant → License → Monthly subscription or perpetual software license agreement, Proprietary. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Cloudant | Developers | Original development by Cloudant, now developed by IBM, based on Apache CouchDB | 1.00 | infobox |
| Cloudant | License | Monthly subscription or perpetual software license agreement, Proprietary | 1.00 | infobox |
| Cloudant | Type | NoSQL, DBaaS | 1.00 | infobox |
| Cloudant | Website | cloudant.com | 1.00 | infobox |
| Cloudant | is a | IBM software product | 0.90 | text |
| Cloudant | is a | non-relational | 0.90 | text |
| the Large Hadron Collider | instance of | The three met in the physics department at MIT where they worked with large data sets from experiments | 0.80 | text |
| the Relativistic Heavy Ion Collider | instance of | The three met in the physics department at MIT where they worked with large data sets from experiments | 0.80 | text |
| Cloudant | related to Differences with CouchDB | Cloudant's | 0.60 | section |
| Cloudant | related to Differences with CouchDB | CouchDB | 0.60 | section |
| Cloudant | related to Differences with CouchDB | Chained MapReduce ViewsJava Language | 0.60 | section |
| Cloudant | related to Differences with CouchDB | View Server | 0.60 | section |
The concept neighborhoods around Cloudant bring nearby vocabulary together. In this analysis, examples include Ibm, Bigcouch and Couchdb. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Cloudant, one of the stronger structural bridges in this analysis connects Cloudant 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 Cloudant to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as 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 — Cloudant · EN edition · Analysis: TopicsToTalkAbout