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The Integrated Database Management System (IDMS) is a network model (CODASYL) database management system for mainframes. It was first developed at BFGoodrich and later marketed by Cullinane Database Systems (renamed Cullinet in 1983). Since 1989 the product has been owned by Computer Associates (now CA Technologies), who renamed it Advantage CA-IDMS and…
The analysis highlights History and Products as prominent areas in the source structure around IDMS.
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 IDMS shows recurring relationship patterns in the source. For example, IDMS → Because Cullinane, BFGoodrich Chemical Division, Charles Bachman, Eventually, General Electric, Goodrich, IDS, In, Integrated Data Store, Intermediate System Language, ISL, John Cullinane, Since ISL, The, The Chemical Division, This Another extracted example is IDMS → Anwendervereinigung IDMS DeutschlandAustralian IDMS, Association, AssociationChicago IDMS Users GroupCommittee, CA IDMS, FranceRocky Mountain IDMS Users, Global User CommunityAID, GroupUK IDMS User Association, IDMS User GroupFinnish IDMS, IDMSDallas CA-IDMS Users ForumEuropean, IUA EIUA, Quebec Users, They, User GroupAUI, User GroupBeNeLux IDMS User, Utilisateurs. 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.
database record records calc set model codasyl ca owner key system page computer idmsx used using direct pages also target
TTTA extracted 64 structured relationships around IDMS. Examples in this analysis include IDMS → Developer → CA Technologies and IDMS → Operating system → z/OS, z/VM, z/VSE, BS2000/OSD. The table shows each extracted connection, where it came from and its confidence.
| Subject | Predicate | Object | Confidence | Src |
|---|---|---|---|---|
| IDMS | Developer | CA Technologies | 1.00 | infobox |
| IDMS | Operating system | z/OS, z/VM, z/VSE, BS2000/OSD | 1.00 | infobox |
| IDMS | Platform | Mainframe computer | 1.00 | infobox |
| IDMS | Release | 1973 (1973) | 1.00 | infobox |
| IDMS | Stable release | 18.5 | 1.00 | infobox |
| IDMS | Type | Network DBMS | 1.00 | infobox |
| IDMS | Website | ca.com/us/products/ca-idms.html | 1.00 | infobox |
| ADS/Online | instance of | IDD was also used to store definitions and code for other products in the IDMS family | 0.80 | text |
| IDMS-DC | instance of | IDD was also used to store definitions and code for other products in the IDMS family | 0.80 | text |
| repeating items | instance of | this allows complex internal structure | 0.80 | text |
| repeating groups.The most distinctive structuring concept in the Codasyl model is the set | instance of | this allows complex internal structure | 0.80 | text |
| database loading | instance of | but also makes operations | 0.80 | text |
The concept neighborhoods around IDMS bring nearby vocabulary together. In this analysis, examples include Ca, Products and Technologies. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
For IDMS, one of the stronger structural bridges in this analysis connects IDMS 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 IDMS to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Products, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
Source: Wikipedia — IDMS · EN edition · Analysis: TopicsToTalkAbout