Research any topic before you write.
Find related topics. | Discover entities. | See connections. | Build a topical map.
RethinkDB is a free and open-source, distributed document-oriented database originally created by the company of the same name. The database stores JSON documents with dynamic schemas, and is designed to facilitate pushing real-time updates for query results to applications. Initially seed funded by Y Combinator in June 2009, the company announced in…
The analysis highlights History and Companies as prominent areas in the source structure around RethinkDB.
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.
Explore different angles and find fresh ideas to shape your next piece of content.
Search suggestions related to this topic. Open a question to research it further; suggestions are not verified answers.
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.
You can skip this section if you’re here for content ideas and keyword inspiration.
The extracted context around RethinkDB shows recurring relationship patterns in the source. For example, RethinkDB → Clojure, Erlang, Go, Haskell, Java, JavaScript, Lua, Node, PHP, Python, ReQL, Ruby Another extracted example is RethinkDB → Apache License, Foundation, On February, On October, Stripe, The Cloud Native Computing. 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.
support database company github real-time query linux also python java javascript free open-source june 2009 announced october 2016 would open-sourced
TTTA extracted 32 structured relationships around RethinkDB. Examples in this analysis include RethinkDB → Available in → English and RethinkDB → License → Apache License 2.0. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| RethinkDB | Available in | English | 1.00 | infobox |
| RethinkDB | License | Apache License 2.0 | 1.00 | infobox |
| RethinkDB | Operating system | Unix, Linux, OS X, Windows, BSD | 1.00 | infobox |
| RethinkDB | Release | 24 July 2009; 17 years ago (2009-07-24) | 1.00 | infobox |
| RethinkDB | Repository | github.com/rethinkdb/rethinkdb | 1.00 | infobox |
| RethinkDB | Stable release | 2.4.4 / December 10, 2023 (2023-12-10) | 1.00 | infobox |
| RethinkDB | Website | rethinkdb.com | 1.00 | infobox |
| RethinkDB | Written in | C++, Python, Java, JavaScript, Bash | 1.00 | infobox |
| RethinkDB | is a | free and open-source | 0.90 | text |
| RethinkDB | is a | first class support for real-time change feeds | 0.90 | text |
| RethinkDB | related to Fork | Due | 0.60 | section |
| RethinkDB | related to Fork | May | 0.60 | section |
The concept neighborhoods around RethinkDB bring nearby vocabulary together. In this analysis, examples include Available, Java and Javascript. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For RethinkDB, one of the stronger structural bridges in this analysis connects RethinkDB with ReQL. 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 RethinkDB to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Companies, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — RethinkDB · EN edition · Analysis: TopicsToTalkAbout