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mLab (originally MongoLab) was a San Francisco-based cloud database service which hosted fully-managed MongoDB databases. mLab ran on cloud providers such as Amazon Web Services, Google Cloud, Microsoft Azure, as well as various platform-as-a-service providers.
The analysis highlights History, Data centers and Overview as prominent areas in the source structure around MLab.
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 MLab shows recurring relationship patterns in the source. For example, MLab → Amazon Web Services, Baseline Ventures, David Cohen, Foundry Group, Freestyle Capital, Google Cloud SQL, In May, In October, Microsoft Azure, MongoLab, Network World, Rackspace, Upfront Ventures Another extracted example is MLab → Angela Kung Shulman, Jared Cottrell, Will Shulman. 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.
mongodb inc mongolab cloud microsoft azure amazon web services google platform-as-a-service san database service databases 2011 2016 acquired million october
TTTA extracted 30 structured relationships around MLab. Examples in this analysis include MLab → Area served → Worldwide and MLab → Defunct → January 31, 2019 (2019-01-31). The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| MLab | Area served | Worldwide | 1.00 | infobox |
| MLab | Defunct | January 31, 2019 (2019-01-31) | 1.00 | infobox |
| MLab | Fate | Acquired by MongoDB Inc. | 1.00 | infobox |
| MLab | Formerly | MongoLab (2011–2016) | 1.00 | infobox |
| MLab | Founded | 2011 | 1.00 | infobox |
| MLab | Founder | Will Shulman | 1.00 | infobox |
| MLab | Founder | Jared Cottrell | 1.00 | infobox |
| MLab | Founder | Angela Kung Shulman | 1.00 | infobox |
| MLab | Headquarters | San Francisco, California | 1.00 | infobox |
| MLab | Industry | Database software | 1.00 | infobox |
| MLab | Owner | MongoDB Inc. | 1.00 | infobox |
| MLab | Products | MongoDB (as a service) | 1.00 | infobox |
| MLab | Website | mlab.com | 1.00 | infobox |
The concept neighborhoods around MLab bring nearby vocabulary together. In this analysis, examples include Mongolab, Mongodb and Acquired. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For MLab, one of the stronger structural bridges in this analysis connects MLab with Overview. 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 MLab to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Data centers & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — MLab · EN edition · Analysis: TopicsToTalkAbout