DBMS > DataFS vs. Derby vs. GeoSpock vs. RDFox

System Properties Comparison DataFS vs. Derby vs. GeoSpock vs. RDFox

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Editorial information provided by DB-Engines

Name

GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.

Description

All data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.

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

Spatial and temporal data processing engine for extreme data scale

High performance knowledge graph and semantic reasoning engine

Primary database model

Object oriented DBMS

Relational DBMS

Graph DBMS
RDF store

Secondary database models

Graph DBMS

Time Series DBMS

Relational DBMS

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

Score	0.09
Rank	#360	Overall
	#17	Object oriented DBMS

Score	4.60
Rank	#70	Overall
	#38	Relational DBMS

Score	0.29
Rank	#300	Overall
	#24	Graph DBMS
	#13	RDF stores

Website

newdatabase.com

db.apache.org/derby

geospock.com

www.oxfordsemantic.tech

Technical documentation

dev.mobiland.com/Overview.xsp

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

docs.oxfordsemantic.tech

Developer

Mobiland AG

Apache Software Foundation

GeoSpock

Oxford Semantic Technologies

Initial release

2018

1997

2017

Current release

1.1.263, October 2022

10.17.1.0, November 2023

2.0, September 2019

6.0, Septermber 2022

License

Commercial or Open Source

commercial

Open Source

Apache version 2

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Java

Java, Javascript

C++

Server operating systems

Windows

All OS with a Java VM

hosted

Linux
macOS
Windows

Data scheme

Classes, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)

yes

RDF schemas

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

temporal, categorical

SQL

Support of SQL

yes

ANSI SQL for query only (using Presto)

APIs and other access methods

.NET Client API
Proprietary client DLL
WinRT client

JDBC

RESTful HTTP API
SPARQL 1.1

Supported programming languages

.Net
C
C#
C++
VB.Net

Java

C
Java

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

no, except callback-events from server when changes happened

yes

Partitioning methods

Methods for storing different data on different nodes

Proprietary Sharding system

none

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

replication via a shared file system

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

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

Windows-Profile

fine grained access rights according to SQL-standard

Access rights for users can be defined per table

Roles, resources, and access types

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