DBMS > Interbase vs. openGauss vs. Oracle Coherence vs. RDF4J

System Properties Comparison Interbase vs. openGauss vs. Oracle Coherence vs. RDF4J

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Editorial information provided by DB-Engines

Name

Description

Light-weight proven RDBMS

originally from Borland

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

Oracles in-memory data grid solution

RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.

Primary database model

Relational DBMS

Key-value store

RDF store

Secondary database models

Document store
Spatial DBMS

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

Score	4.61
Rank	#72	Overall
	#39	Relational DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	1.92
Rank	#130	Overall
	#22	Key-value stores

Score	0.69
Rank	#230	Overall
	#9	RDF stores

Website

www.embarcadero.com/products/interbase

gitee.com/opengauss
opengauss.org

www.oracle.com/java/coherence

rdf4j.org

Technical documentation

docs.embarcadero.com/products/interbase

docs.opengauss.org/en
gitee.com/opengauss/docs

docs.oracle.com/en/middleware/standalone/coherence

rdf4j.org/documentation

Developer

Embarcadero

Huawei and openGauss community

Oracle

Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.

Initial release

1984

2019

2007

2004

Current release

InterBase 2020, December 2019

3.0, March 2022

14.1, August 2023

License

Commercial or Open Source

commercial

Open Source

commercial

Open Source

Eclipse Distribution License (EDL), v1.0.

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

C, C++, Java

Java

Server operating systems

Android
iOS
Linux
OS X
Windows

Linux

All OS with a Java VM

Linux
OS X
Unix
Windows

Data scheme

yes

schema-free

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.

export as XML data possible

Secondary indexes

yes

SQL

Support of SQL

yes

ANSI SQL 2011

APIs and other access methods

ADO.NET
JDBC
ODBC

JDBC
ODBC

JCache
JPA
RESTful HTTP API

Java API
RIO

RDF Input/Output
Sail API
SeRQL

Sesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL

Supported programming languages

.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby

C
C++
Java

.Net
C++
Java

Java
PHP
Python

Server-side scripts

Stored procedures

yes

Interbase procedure and trigger language

yes

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range, list and hash)

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Interbase Change Views

Source-replica replication

yes, with selectable consistency level

none

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

ACID

Isolation support depends on the API used

Concurrency

Support for concurrent manipulation of data

yes

Multiversion concurreny control

yes

Durability

Support for making data persistent

yes

optionally

yes

in-memory storage is supported as well

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

Access rights for users, groups and roles according to SQL-standard

authentification to access the cache via certificates or http basic authentication

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