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Lightning Memory-Mapped Database: History & Applications

Lightning Memory-Mapped Database (LMDB) is an embedded transactional database in the form of a key-value store. LMDB is written in C with API bindings for several programming languages. LMDB stores arbitrary key/data pairs as byte arrays, has a range-based search capability, supports multiple data items for a single key and has a special mode for…

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Lightning Memory-Mapped Database topic overview

The analysis highlights History and Applications as prominent areas in the source structure around Lightning Memory-Mapped Database.

Related topics
51
Source areas
8
Connected nodes
59
Extracted relationships
15
Concept neighborhoods
27
Bridge connections
59

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.

Application support · 13 topics
Technical description · 12 topics
Overview · 8 topics
Performance · 6 topics
History · 4 topics
Open source license · 4 topics
Reliability · 3 topics
API and uses · 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
Symas
License
OpenLDAP Public License (permissive software license)
Operating system
Unix, Linux, Windows, AIX, Sun Solaris, SCO Unix, macOS, iOS
Original author
Howard Chu
Release
November 24, 2011; 14 years ago (2011-11-24)
Repository
git.openldap.org/openldap/openldap/

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

Technical description

Performance

Reliability

Open source license

API and uses

Application support

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 Lightning Memory-Mapped Database connects Entity context

The extracted context around Lightning Memory-Mapped Database shows recurring relationship patterns in the source. For example, Lightning Memory-Mapped Database → Symas Another extracted example is Lightning Memory-Mapped Database → OpenLDAP Public License (permissive software license). Use these groups to spot repeated connection types before inspecting the individual relationships.

Lightning Memory-Mapped Database

Top relations

Developer · 1
Lightning Memory-Mapped Database → Symas
License · 1
Lightning Memory-Mapped Database → OpenLDAP Public License (permissive software license)
Operating system · 1
Lightning Memory-Mapped Database → Unix, Linux, Windows, AIX, Sun Solaris, SCO Unix, macOS, iOS
Original author · 1
Lightning Memory-Mapped Database → Howard Chu
Release · 1
Lightning Memory-Mapped Database → November 24, 2011; 14 years ago (2011-11-24)
Repository · 1
Lightning Memory-Mapped Database → git.openldap.org/openldap/openldap/
Size · 1
Lightning Memory-Mapped Database → 64 KB
Stable release · 1
Lightning Memory-Mapped Database → 1.0.1 / 7 August 2026; 17 days ago (7 August 2026)
Type · 1
Lightning Memory-Mapped Database → Embedded database
Website · 1
Lightning Memory-Mapped Database → symas.com/lmdb

Important terminology

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

Important terminology

lmdb performance database data store openldap also db use write may berkeley multiple system memory transaction design key-value api open

Lightning Memory-Mapped Database relationships Subject–Predicate–Object triples

TTTA extracted 15 structured relationships around Lightning Memory-Mapped Database. Examples in this analysis include Lightning Memory-Mapped Database → Developer → Symas and Lightning Memory-Mapped Database → License → OpenLDAP Public License (permissive software license). The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Lightning Memory-Mapped DatabaseDeveloperSymas1.00infobox
Lightning Memory-Mapped DatabaseLicenseOpenLDAP Public License (permissive software license)1.00infobox
Lightning Memory-Mapped DatabaseOperating systemUnix, Linux, Windows, AIX, Sun Solaris, SCO Unix, macOS, iOS1.00infobox
Lightning Memory-Mapped DatabaseOriginal authorHoward Chu1.00infobox
Lightning Memory-Mapped DatabaseReleaseNovember 24, 2011; 14 years ago (2011-11-24)1.00infobox
Lightning Memory-Mapped DatabaseRepositorygit.openldap.org/openldap/openldap/1.00infobox
Lightning Memory-Mapped DatabaseSize64 KB1.00infobox
Lightning Memory-Mapped DatabaseStable release1.0.1 / 7 August 2026; 17 days ago (7 August 2026)1.00infobox
Lightning Memory-Mapped DatabaseTypeEmbedded database1.00infobox
Lightning Memory-Mapped DatabaseWebsitesymas.com/lmdb1.00infobox
Lightning Memory-Mapped DatabaseWritten inC1.00infobox
Debian to completely phase out their use of Berkeley DBinstance ofwhich would make a similar move like Oracle's impossible.The Berkeley DB license issue has caused major Linux distributions0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Lightning Memory-Mapped Database bring nearby vocabulary together. In this analysis, examples include Api, First and Key-value. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • Lightning Memory-Mapped Database
    • Api
    • First
    • Key-value
    • Developer
    • Written
    • Lmdb
    • License
    • Reliability
    • Support
    • Transactions
    • Design
    • Memory-mapped
  • lightning memory-mapped database
    • Api
    • First
    • Store
    • Developer
    • Key-value
    • Memory
    • Written
    • Lmdb
    • License
    • Reliability
    • Support
    • Transactions
  • database
    • Store
    • Developer
    • Key-value
    • Memory
    • Lmdb
    • Memory-mapped
    • However
    • Reliability
    • Performance
    • First
    • May
    • Multiple
  • relational database
    • Store
    • Developer
    • Key-value
    • Memory
    • Lmdb
    • Memory-mapped
    • However
    • Reliability
    • Performance
    • First
    • May
    • Multiple
  • berkeley db
    • Db
    • License
    • Support
    • Design
    • Software
    • System
    • Use
    • Lmdb
    • Database
    • Developer
    • Memory-mapped
    • Written
  • key-value store
    • Store
    • Reliability
    • Similar
    • Memory
    • Copy-on-write
    • Performance
    • Memory-mapped
    • Use
    • However
    • Like
    • Readers
    • Transactions
  • api
    • Memory-mapped
    • Written
    • Berkeley
    • Db
    • Developer
    • License
    • Reliability
    • Support
    • Design
    • First
    • Open
    • Similar
  • memory-mapped file
    • Api
    • First
    • Developer
    • Written
    • License
    • Reliability
    • Support
    • Transactions
    • Design
    • Open
    • Source
    • Tree

Connections between topic areas Semantic bridges

For Lightning Memory-Mapped Database, one of the stronger structural bridges in this analysis connects Lightning Memory-Mapped Database with Application support. 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
Lightning Memory-Mapped DatabaseApplication support · splits 46 ⟂ 14
Lightning Memory-Mapped DatabaseTechnical description · splits 47 ⟂ 13
Lightning Memory-Mapped DatabaseOverview · splits 51 ⟂ 9
Lightning Memory-Mapped DatabasePerformance · splits 53 ⟂ 7
Lightning Memory-Mapped DatabaseHistory · splits 55 ⟂ 5
Lightning Memory-Mapped DatabaseOpen source license · splits 55 ⟂ 5
Lightning Memory-Mapped DatabaseReliability · splits 56 ⟂ 4

Map overview Semantic statistics

Lightning Memory-Mapped Database

Nodes60
Edges59
Triples15
Avg. degree1.97
Density0.033333
Components1

Source & methodology

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

Source: Wikipedia — Lightning Memory-Mapped Database · EN edition · Analysis: TopicsToTalkAbout

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