DBMS > Derby vs. gStore vs. H2GIS vs. Oracle Rdb

System Properties Comparison Derby vs. gStore vs. H2GIS vs. Oracle Rdb

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Editorial information provided by DB-Engines

Name

Description

Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.

A native Graph DBMS to store and maintain very large RDF datasets.

Spatial extension of H2

Primary database model

Secondary database models

Relational DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	4.71
Rank	#69	Overall
	#37	Relational DBMS

Score	0.04
Rank	#359	Overall
	#37	Graph DBMS
	#18	RDF stores

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Website

db.apache.org/derby

en.gstore.cn

www.h2gis.org

www.oracle.com/database/technologies/related/rdb.html

Technical documentation

db.apache.org/derby/manuals/index.html

en.gstore.cn/#/enDocs

www.h2gis.org/docs/home

www.oracle.com/database/technologies/related/rdb-doc.html

Developer

Apache Software Foundation

CNRS

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

1997

2016

2013

1984

Current release

10.17.1.0, November 2023

1.2, November 2023

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

BSD

Open Source

LGPL 3.0

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

C++

Java

Server operating systems

All OS with a Java VM

Linux

HP Open VMS

Data scheme

yes

schema-free and OWL/RDFS-schema support

yes

Flexible Schema (defined schema, partial schema, schema free)

Typing

predefined data types such as float or date

yes

XML support

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JDBC

HTTP API
SPARQL 1.1

Supported programming languages

Java

C++
Java
JavaScript (Node.js)
PHP
Python

Java

Server-side scripts

Stored procedures

Java Stored Procedures

yes

based on H2

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

based on H2

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

yes

ACID

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Users, roles and permissions, Role-Based Access Control (RBAC) supported

yes

based on H2

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