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Stratoscale: History, Products, Art & Technology
Stratoscale was a software company offering software-defined data center technology, with hyper-converged infrastructure and cloud computing capabilities. Stratoscale combined compute, storage, and networking hardware with no additional third party software. Stratoscale has shut down with no details for the future of its products.
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Stratoscale topic overview
The analysis highlights History, Products, Art and Technology as prominent areas in the source structure around Stratoscale.
Related topics
36
Source areas
4
Connected nodes
40
Extracted relationships
52
Concept neighborhoods
16
Bridge connections
40
What this topic covers Research coverage
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.
History · 16 topics
Partner program · 12 topics
Overview · 4 topics
Products · 4 topics
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.
Key facts & relationships
High-confidence facts extracted from structured source data. Use them as anchors for further research.
Founded
2013
Industry
Cloud computing
Headquarters
Herzliya, Israel
Founder
Ariel Maislos
Type
Private
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
How Stratoscale connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Stratoscale shows recurring relationship patterns in the source. For example, Stratoscale → Ariel Maislos, Battery Ventures, Bessemer Venture Partners, Boston, California, Cisco, December, Haifa, Herzliya, Intel Capital, Israel, Leslie Ventures, Massachusetts, New York, New York City, North America, Qualcomm Ventures, SanDisk, Stratoscale Symphony, Sunnyvale Another extracted example is Stratoscale → Channel, Cisco, CloudEndure, Cloudera, Docker, Hewlett Packard Enterprise, Hortonworks, HPE, Infinidat, Intel, Lenovo, Mellanox Technologies, Midokura, OpenStack, SanDisk, Supermicro, System, Technology. Use these groups to spot repeated connection types before inspecting the individual relationships.
Stratoscale
Top relations
related to history· 20
Stratoscale → Ariel Maislos, Battery Ventures, Bessemer Venture Partners, Boston, California, Cisco, December, Haifa, Herzliya, Intel Capital, Israel, Leslie Ventures, Massachusetts, New York, New York City, North America, Qualcomm Ventures, SanDisk, Stratoscale Symphony, Sunnyvale
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 52 structured relationships around Stratoscale. Examples in this analysis include Stratoscale → Founded → 2013 and Stratoscale → Founder → Ariel Maislos. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Stratoscale
Founded
2013
1.00
infobox
Stratoscale
Founder
Ariel Maislos
1.00
infobox
Stratoscale
Headquarters
Herzliya, Israel
1.00
infobox
Stratoscale
Industry
Cloud computing
1.00
infobox
Stratoscale
Type
Private
1.00
infobox
Stratoscale
Website
www.stratoscale.com
1.00
infobox
Stratoscale
related to history
Ariel Maislos
0.60
section
Stratoscale
related to history
Israel
0.60
section
Stratoscale
related to history
Herzliya
0.60
section
Stratoscale
related to history
Haifa
0.60
section
Stratoscale
related to history
North America
0.60
section
Stratoscale
related to history
Sunnyvale
0.60
section
No triples extracted yet.
Related concept clusters Concept neighborhoods
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Stratoscale bring nearby vocabulary together. In this analysis, examples include Symphony, Partners and Cloud. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Stratoscale
Symphony
Partners
Cloud
Computing
Herzliya
Hyper-converged
Infrastructure
Israel
Products
Channel
Technology
Additional
stratoscale
Symphony
Partners
Cloud
Computing
Herzliya
Hyper-converged
Infrastructure
Israel
Products
Channel
Technology
Additional
software
Hardware
Additional
Capabilities
Center
Combined
Compute
Networking
Offering
Party
Storage
Third
Cloud
cloud computing
Computing
Ariel
Capabilities
Founded
History
Maislos
Offering
Company
Data
Herzliya
Hyper-converged
Infrastructure
software-defined data center
Capabilities
Data
Hyper-converged
Infrastructure
Offering
Software-defined
Center
Cloud
Company
Computing
Software
Technology
hyper-converged infrastructure
Infrastructure
Software-defined
Capabilities
Offering
Cloud
Computing
Software
Technology
Stratoscale
Symphony
ariel maislos
Founded
History
Maislos
Cloud
Computing
Herzliya
Israel
Products
Website
Stratoscale
channel partners
Partners
Cisco
Included
Intel
Sandisk
System
Technology
Stratoscale
Symphony
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Stratoscale, one of the stronger structural bridges in this analysis connects Stratoscale 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.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Stratoscale
Nodes41
Edges40
Triples52
Avg. degree1.95
Density0.04878
Components1
Source & methodology
TTTA analyzes the structure around Stratoscale to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Products, Art & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
