Research any topic before you write.

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

Apache Derby

Apache Derby (previously distributed as IBM Cloudscape) is a (retired) relational database management system (RDBMS) developed by the Apache Software Foundation that can be embedded in Java programs and used for online transaction processing. It has a 3.5 MB disk-space footprint.

History, Technology & Products

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around Apache Derby. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Developer
Apache Software Foundation
License
Apache License 2.0
Operating system
Cross-platform
Original author
Cloudscape Inc (Later IBM)
Repository
Derby Repository
Stable release
10.17.1.0 / November 14, 2023; 2 years ago (2023-11-14)

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Technologies

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.

Map overview Semantic statistics

Apache Derby

Nodes26
Edges25
Triples37
Avg. degree1.92
Density0.076923
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

Apache Derby

Top relations

related to history · 16
Apache Derby → California, Cloudscape, Cloudscape Inc, Howard Torf, IBM, IBM Cloudscape, IBM's Java, In, Inc, Informix Software, Java, JBMS, Nat Wyatt, Oakland, Subsequently, The
related to External links · 12
Apache Derby → An Open Source Pure, Cloudscape, Derby, IBM, Install Derby Database Archived, Java DB SiteWhy IBM, Java Relational Database Engine, JPA BenchmarkCompliance, Official, OSGi, SQL, Wayback Machine
Developer · 1
Apache Derby → Apache Software Foundation
License · 1
Apache Derby → Apache License 2.0
Operating system · 1
Apache Derby → Cross-platform
Original author · 1
Apache Derby → Cloudscape Inc (Later IBM)
Repository · 1
Apache Derby → Derby Repository
Stable release · 1
Apache Derby → 10.17.1.0 / November 14, 2023; 2 years ago (2023-11-14)
Type · 1
Apache Derby → Relational Database Management System
Website · 1
Apache Derby → db.apache.org/derby/

Important terminology Word statistics

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

Important terminology

database derby ibm apache java cloudscape db project engine embedded software server relational sql developed network management foundation distributed jdbc

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Apache DerbyDeveloperApache Software Foundation1.00infobox
Apache DerbyLicenseApache License 2.01.00infobox
Apache DerbyOperating systemCross-platform1.00infobox
Apache DerbyOriginal authorCloudscape Inc (Later IBM)1.00infobox
Apache DerbyRepositoryDerby Repository1.00infobox
Apache DerbyStable release10.17.1.0 / November 14, 2023; 2 years ago (2023-11-14)1.00infobox
Apache DerbyTypeRelational Database Management System1.00infobox
Apache DerbyWebsitedb.apache.org/derby/1.00infobox
Apache DerbyWritten inJava1.00infobox
Apache Derbyrelated to External linksOfficial0.60section
Apache Derbyrelated to External linksDerby0.60section
Apache Derbyrelated to External linksAn Open Source Pure0.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.