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MySQL Cluster: History & Technology

MySQL Cluster, also known as MySQL NDB Cluster, is a technology providing shared-nothing clustering and auto-sharding for the MySQL database management system. It is designed to provide high availability and high throughput with low latency, while allowing for near linear scalability. MySQL Cluster is implemented through the NDB or NDBCLUSTER storage…

Language: English [EN]
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MySQL Cluster topic overview

The analysis highlights History and Technology as prominent areas in the source structure around MySQL Cluster. 1 topic appears in more than one source area, which can help identify connections that are less obvious in a linear reading.

Related topics
51
Source areas
6
Connected nodes
58
Extracted relationships
140
Concept neighborhoods
19
Bridge connections
58

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.

Architecture · 33 topics
History · 7 topics
Overview · 4 topics
Requirements · 4 topics
Versions · 3 topics
Support · 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.

Available in
English
Developer
Oracle
License
GNU General Public License (version 2, with linking exception) or commercial EULA
Operating system
Cross-platform[which?]
Release
November 2004
Stable release
9.7.0 / April 23, 2026; 4 months ago (2026-04-23)

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

Architecture

Versions

Requirements

History

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 MySQL Cluster connects Entity context

The extracted context around MySQL Cluster shows recurring relationship patterns in the source. For example, MySQL Cluster → API, Application, Data, Management, MySQL, MySQL Servers, NDB API, NoSQL APIs, SQL, Tables, These, They, This, Used Another extracted example is MySQL Cluster → Cluster, Epochs, Internally MySQL Cluster, It, MySQL, MySQL Cluster Replication, MySQL Cluster's, MySQL Replication, This, Two, Unlike, Updates. Use these groups to spot repeated connection types before inspecting the individual relationships.

MySQL Cluster

Top relations

related to Implementation · 14
MySQL Cluster → API, Application, Data, Management, MySQL, MySQL Servers, NDB API, NoSQL APIs, SQL, Tables, These, They, This, Used
related to Replication · 12
MySQL Cluster → Cluster, Epochs, Internally MySQL Cluster, It, MySQL, MySQL Cluster Replication, MySQL Cluster's, MySQL Replication, This, Two, Unlike, Updates
related to MySQL Ndb Operator · 11
MySQL Cluster → HA, Kubernetes, Management, MySQL Cluster Data, MySQL Ndb Operator, Ndb Operator, Operating MySQL Cluster, Persistent Volumes, SQL, StatefulSets, The
related to NDB Cluster · 9
MySQL Cluster → Cluster, From, It, MySQL Server, NDB, NDB API, NDB Cluster, Network Database, Storage
related to SQL and NoSQL APIs · 9
MySQL Cluster → As MySQL Cluster, JavaScriptJava, JPAHTTP, MemcachedNode, MySQL Server, MySQL ServerNoSQL APIs, RESTNDB API, SQL, These
related to Shared nothing · 8
MySQL Cluster → Ethernet, Gigabit Ethernet, InfiniBand, Provided, SAN, SCI, Shared, The
see also · 8
MySQL Cluster → Galera, Galera Cluster, Hopsworks, MariaDB, MySQL, MySQL XtraDB Cluster, Percona Server, RonDB
related to Books · 7
MySQL Cluster → Book, Jesper Wisborg Krogh, Mikael Ronström, Mikiya Okuno, MySQL, NDB, Pro MySQL NDB Cluster
related to MySQL · 7
MySQL Cluster → Cluster API Developers' GuideMySQL, Cluster DemonstrationMySQL Cluster DatasheetMySQL, Cluster FAQMySQL Cluster Auto-Installer, GuidesMySQL Cluster Community Forum, MySQL ClusterMySQL Cluster Whitepapers, Official MySQL Cluster DocumentationMySQL, TutorialGetting Started
related to Support · 7
MySQL Cluster → Commercial, GPLv2, MySQL Cluster CGE, MySQL Cluster Manager, MySQL Enterprise Audit, MySQL Enterprise Monitor, MySQL Enterprise Security

Important terminology

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

Important terminology

mysql cluster ndb data nodes node server replication database also disk api sql management application support storage system single tables

MySQL Cluster relationships Subject–Predicate–Object triples

TTTA extracted 140 structured relationships around MySQL Cluster. Examples in this analysis include MySQL Cluster → Available in → English and MySQL Cluster → Developer → Oracle. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
MySQL ClusterAvailable inEnglish1.00infobox
MySQL ClusterDeveloperOracle1.00infobox
MySQL ClusterLicenseGNU General Public License (version 2, with linking exception) or commercial EULA1.00infobox
MySQL ClusterOperating systemCross-platform[which?]1.00infobox
MySQL ClusterReleaseNovember 20041.00infobox
MySQL ClusterStable release9.7.0 / April 23, 2026; 4 months ago (2026-04-23)1.00infobox
MySQL ClusterTypeRDBMS1.00infobox
MySQL ClusterWebsitewww.mysql.com/products/cluster1.00infobox
MySQL Cluster Managerinstance ofwhich also includes non-open source addons0.80text
MySQL Enterprise Monitorinstance ofwhich also includes non-open source addons0.80text
in addition to MySQL Enterprise Securityinstance ofwhich also includes non-open source addons0.80text
MySQL Enterprise Auditinstance ofwhich also includes non-open source addons0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around MySQL Cluster bring nearby vocabulary together. In this analysis, examples include Mysql, Ndb and Data. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • MySQL Cluster
    • Mysql
    • Ndb
    • Data
    • Server
    • Nodes
    • Replication
    • Database
    • Sql
    • Node
    • Storage
    • Management
    • Single
  • mysql cluster
    • Mysql
    • Ndb
    • Data
    • Server
    • Nodes
    • Replication
    • Node
    • Database
    • Sql
    • Api
    • Storage
    • Management
  • mysql
    • Ndb
    • Data
    • Server
    • Nodes
    • Replication
    • Database
    • Sql
    • Node
    • Storage
    • Management
    • Available
    • Uses
  • database management system
    • Network
    • Application
    • System
    • Management
    • Manager
    • Node
    • Nodes
    • Ndb
    • Available
    • Distributed
    • Via
    • Sql
  • ndb
    • Api
    • Server
    • Storage
    • System
    • Data
    • Release
    • Tables
    • Node
    • Via
    • Sql
    • Nodes
    • Apis
  • apis
    • Nosql
    • Via
    • Sql
    • Partitioning
    • Manager
    • Provide
    • Release
    • Access
    • Available
    • Tables
    • Uses
    • Write
  • application
    • Sql
    • Nodes
    • Database
    • Available
    • Data
    • Server
    • Management
    • Node
    • Manager
    • Nosql
    • Provide
    • Access
  • database
    • Network
    • Application
    • System
    • Management
    • Ndb
    • Available
    • Distributed
    • Via
    • Sql
    • Node
    • Mysql
    • Api

Connections between topic areas Semantic bridges

For MySQL Cluster, one of the stronger structural bridges in this analysis connects MySQL Cluster with Architecture. 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
MySQL Cluster — Architecture · splits 25 ⟂ 34
MySQL Cluster — History · splits 51 ⟂ 8
MySQL Cluster — Overview · splits 54 ⟂ 5
MySQL Cluster — Requirements · splits 54 ⟂ 5
MySQL Cluster — Versions · splits 55 ⟂ 4

Map overview Semantic statistics

MySQL Cluster

Nodes59
Edges58
Triples140
Avg. degree1.97
Density0.033898
Components1

Source & methodology

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

Source: Wikipedia — MySQL Cluster · EN edition · Analysis: TopicsToTalkAbout

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