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Tintri, Inc. is a division of DataDirect Networks based in Santa Clara, California. Tintri provides products designed for businesses cloud computing, virtual machines (VMs), and containerization. The core product line is the VMstore, a storage system and software designed to simplify management in data center and cloud environments.
The analysis highlights Technology, History, Products and Companies as prominent areas in the source structure around Tintri.
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.
Each route connects two topics through a shared source area. It is a way to explore, not a claim of a direct relationship.
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 Tintri shows recurring relationship patterns in the source. For example, Tintri → Another, David Cheriton, Dublin, Early, Harty, Harty's Ph, Ian Halifax, In October, Ireland, Irish, Its, January, July, Ken Klein, Kieran Harty, Larry Sonsini, Lightspeed Venture Partners, Menlo Ventures, New Enterprise Associates, Over Another extracted example is Tintri → And Tintri, IO, Linux, Network File System, NFS, QoS, Server Message Block, SMB, The, The Tintri VMstore, The VMstore, Tintri VMstores, Tintri's, VMs, VMstore. 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.
cloud software storage 2018 announced vms vmstore system million virtual company 2017 ddn datadirect networks products board computing management environments
TTTA extracted 59 structured relationships around Tintri. Examples in this analysis include Tintri → Area served → Worldwide and Tintri → Founded → 2008. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| Tintri | Area served | Worldwide | 1.00 | infobox |
| Tintri | Founded | 2008 | 1.00 | infobox |
| Tintri | Headquarters | Santa Clara, California, United States | 1.00 | infobox |
| Tintri | Industry | Data storage devices | 1.00 | infobox |
| Tintri | Industry | Information Technology | 1.00 | infobox |
| Tintri | Industry | Virtualization | 1.00 | infobox |
| Tintri | Key people | Phil Trickovic (SVP) Brock Mowry (CTO) | 1.00 | infobox |
| Tintri | Parent | DataDirect Networks | 1.00 | infobox |
| Tintri | Products | Enterprise Cloud, Workload-aware storage | 1.00 | infobox |
| Tintri | Website | www.tintri.com | 1.00 | infobox |
| the Network File System | instance of | the network and storage.Tintri VMstores are accessed by clients over standard file service protocols | 0.80 | text |
| Hyper-V in 2014.On April 9 | instance of | and other hypervisors | 0.80 | text |
The concept neighborhoods around Tintri bring nearby vocabulary together. In this analysis, examples include Announced, Software and Ddn. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For Tintri, one of the stronger structural bridges in this analysis connects Tintri 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 Tintri to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Technology, 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 — Tintri · EN edition · Analysis: TopicsToTalkAbout