TigerLogic Corporation is an American internet and software development company that designed, developed, sold and supported software infrastructure products. This software was categorized into the following product lines: Yolink search enhancement technology, XML Data Management Server (XDMS), Multidimensional Data Management System (MDMS) and Rapid…
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TigerLogic topic overview
The analysis highlights History, Companies, Products and Technology as prominent areas in the source structure around TigerLogic.
Related topics
22
Source areas
3
Connected nodes
25
Extracted relationships
86
Concept neighborhoods
9
Bridge connections
25
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 · 11 topics
Products and services · 8 topics
Overview · 3 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
April 17, 2008
Industry
Internet, Software
Headquarters
Irvine, California, USA
Fate
multidimensional database products sold to Rocket Software; Postano products sold to Sprinklr; Omnis
Key people
Roger Rowe, Acting CEO/CFO
Number of employees
60+ (June 22, 2015)
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 TigerLogic 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 TigerLogic shows recurring relationship patterns in the source. For example, TigerLogic → August, Blyth Holdings, California, Concurrent, Delaware, Effective December, Inc, Irvine, June, November, Omnis Technology Corporation, On April, Pick Systems, PickAx, Raining Data Corporation, Richard Pick, September, State, The, TigerLogic Corporation Another extracted example is TigerLogic → Extracts Information From Behind, Facebook Newspaper With, Flipboard FeelIEEE Computer Society, Improve Online SearchMine, Information Behind, Inside DocsTigerLogic Launches Yolink, Inside Documents, Investing, Links, New Service Promises, News Brief, Next Generation Search Technology, Pulls Info From Behind, ResultsYolink's Next Step Search, Search, These APIsSearching Beyond Search. Use these groups to spot repeated connection types before inspecting the individual relationships.
TigerLogic
Top relations
related to history· 20
TigerLogic → August, Blyth Holdings, California, Concurrent, Delaware, Effective December, Inc, Irvine, June, November, Omnis Technology Corporation, On April, Pick Systems, PickAx, Raining Data Corporation, Richard Pick, September, State, The, TigerLogic Corporation
related to External links· 16
TigerLogic → Extracts Information From Behind, Facebook Newspaper With, Flipboard FeelIEEE Computer Society, Improve Online SearchMine, Information Behind, Inside DocsTigerLogic Launches Yolink, Inside Documents, Investing, Links, New Service Promises, News Brief, Next Generation Search Technology, Pulls Info From Behind, ResultsYolink's Next Step Search, Search, These APIsSearching Beyond Search
related to Multidimensional Databases (MDMS)· 15
TigerLogic → D3, IBM AIX, In, Java, Latest, Linux, Mentor, Microsoft Windows, MVbase, MVS, NET, Products, The MDMS, This, TigerLogic XDMS
related to Rapid Application Development (RAD) tools· 8
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 86 structured relationships around TigerLogic. Examples in this analysis include TigerLogic → Fate → multidimensional database products sold to Rocket Software; Postano products sold to Sprinklr; Omnis and TigerLogic → Founded → April 17, 2008. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
TigerLogic
Fate
multidimensional database products sold to Rocket Software; Postano products sold to Sprinklr; Omnis
1.00
infobox
TigerLogic
Founded
April 17, 2008
1.00
infobox
TigerLogic
Headquarters
Irvine, California, USA
1.00
infobox
TigerLogic
Industry
Internet, Software
1.00
infobox
TigerLogic
Key people
Roger Rowe, Acting CEO/CFO
1.00
infobox
TigerLogic
Number of employees
60+ (June 22, 2015)
1.00
infobox
TigerLogic
Products
Data Management and Rapid Application Deployment software
1.00
infobox
TigerLogic
Type
Private
1.00
infobox
TigerLogic
Website
tigerlogiccorp.com
1.00
infobox
TigerLogic
related to External links
Investing
0.60
section
TigerLogic
related to External links
Facebook Newspaper With
0.60
section
TigerLogic
related to External links
Flipboard FeelIEEE Computer Society
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 TigerLogic bring nearby vocabulary together. In this analysis, examples include Xdms, Release and Yolink. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
software
Development
Products
Rad
Rapid
Sold
Mdms
Server
Application
Xml
Company
Management
Multidimensional
rapid application development
Rad
Search
Server
Yolink
Application
Rapid
Web
Software
Products
Company
Sold
Technology
rocket software
Development
Products
Rad
Rapid
Sold
Mdms
Server
Application
Xml
Company
Management
Multidimensional
products and services
Software
Rad
Rapid
Sold
Mdms
Server
Application
Web
Tigerlogic
Data
Multidimensional
Changed
xml
Xdms
Database
Enterprise
Raining
Yolink
Tigerlogic
Changed
New
System
Announces
Business
Name
TigerLogic
Xdms
Release
Yolink
Announces
Launches
Web
Xml
New
November
Business
Raining
Enterprise
tigerlogic
Xdms
Release
Yolink
Announces
Launches
Web
Xml
New
November
Business
Raining
Enterprise
pick
Systems
Product
November
Raining
Search
Products
Technology
Web
Xdms
Yolink
Tigerlogic
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 TigerLogic, one of the stronger structural bridges in this analysis connects TigerLogic 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.
TigerLogic
Nodes26
Edges25
Triples86
Avg. degree1.92
Density0.076923
Components1
Source & methodology
TTTA analyzes the structure around TigerLogic to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History, Companies, Products & Technology, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
