Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

Perst: History & Overview

Perst is an open source, dual license, object-oriented embedded database management system (ODBMS). Both the Java programming language, and the C# programming language versions are compact. It can store data directly in Java and .NET objects, eliminating the need for translation typical in relational and object-relational databases. With a compact core…

Language: English [EN]
Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.
100%
More settings
100% 100% 100% 100% 100%

Perst topic overview

The analysis highlights History and Overview as prominent areas in the source structure around Perst.

Related topics
9
Source areas
2
Connected nodes
11
Extracted relationships
22
Concept neighborhoods
9
Bridge connections
11

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.

Overview · 8 topics
History · 1 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.

Developer
McObject
License
GPL or proprietary
Operating system
Cross-platform
Release
2003; 23 years ago (2003)
Type
ODBMS

Explore all related topics Closing gaps

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.

Overview

History

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How Perst connects Entity context

The extracted context around Perst shows recurring relationship patterns in the source. For example, Perst → Although, In, It, Java, McObject LLC, Russia, Seattle, Washington Another extracted example is Perst → Embedded Community, Java, McObjectPerst, Net Mobile, Official, ProScout. Use these groups to spot repeated connection types before inspecting the individual relationships.

Perst

Top relations

related to history · 8
Perst → Although, In, It, Java, McObject LLC, Russia, Seattle, Washington
related to External links · 6
Perst → Embedded Community, Java, McObjectPerst, Net Mobile, Official, ProScout
Developer · 1
Perst → McObject
License · 1
Perst → GPL or proprietary
Operating system · 1
Perst → Cross-platform
Release · 1
Perst → 2003; 23 years ago (2003)
Type · 1
Perst → ODBMS
Website · 1
Perst → www.mcobject.com/perst
is a · 1
Perst → open source

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

java system license odbms database compact mcobject embedded management programming language data directly net objects 2003 website object-oriented designed mobile

Perst relationships Subject–Predicate–Object triples

TTTA extracted 22 structured relationships around Perst. Examples in this analysis include Perst → Developer → McObject and Perst → License → GPL or proprietary. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
PerstDeveloperMcObject1.00infobox
PerstLicenseGPL or proprietary1.00infobox
PerstOperating systemCross-platform1.00infobox
PerstRelease2003; 23 years ago (2003)1.00infobox
PerstTypeODBMS1.00infobox
PerstWebsitewww.mcobject.com/perst1.00infobox
Perstis aopen source0.90text
smartphonesinstance ofPerst has also found usage in providing database management for mobile applications running on devices0.80text
Perstrelated to External linksOfficial0.60section
Perstrelated to External linksMcObjectPerst0.60section
Perstrelated to External linksProScout0.60section
Perstrelated to External linksJava0.60section

Related concept clusters Concept neighborhoods

The concept neighborhoods around Perst bring nearby vocabulary together. In this analysis, examples include Database, Mcobject and System. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Perst
    • Database
    • Mcobject
    • System
    • Designed
    • Embedded
    • Management
    • Mobile
    • Odbms
    • Website
    • License
    • Java
    • Code
  • perst
    • Database
    • Mcobject
    • System
    • Designed
    • Embedded
    • Management
    • Mobile
    • Odbms
    • Website
    • License
    • Java
    • Code
  • database management system
    • Designed
    • Management
    • Object-oriented
    • Open
    • Source
    • Perst
    • Dual
    • Mobile
    • Odbms
    • Thousand
    • Data
    • Directly
  • java
    • Net
    • Databases
    • Eliminating
    • Need
    • Object-relational
    • Relational
    • Store
    • Translation
    • Typical
    • Versions
    • Compact
    • Data
  • embedded
    • Object-oriented
    • Open
    • Source
    • Management
    • Mobile
    • Net
    • Odbms
    • Website
    • Database
    • License
    • Mcobject
    • Perst
  • open source
    • Dual
    • Object-oriented
    • Source
    • Embedded
    • Management
    • Odbms
    • Database
    • License
    • System
    • Perst
  • object-oriented
    • Open
    • Source
    • Embedded
    • Management
    • Odbms
    • Database
    • System
    • Perst
  • programming language
    • Programming
    • Versions
    • Data
    • Designed
    • Directly
    • Objects
    • Perst

Connections between topic areas Semantic bridges

For Perst, one of the stronger structural bridges in this analysis connects Perst 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.

Min side: 3
Perst — Overview · splits 3 ⟂ 9

Map overview Semantic statistics

Perst

Nodes12
Edges11
Triples22
Avg. degree1.83
Density0.166667
Components1

Source & methodology

TTTA analyzes the structure around Perst to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as History & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — Perst · EN edition · Analysis: TopicsToTalkAbout

For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.