DBMS > GBase vs. openGauss vs. Oracle Coherence vs. SQLite

System Properties Comparison GBase vs. openGauss vs. Oracle Coherence vs. SQLite

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Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.

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

Oracles in-memory data grid solution

Widely used embeddable, in-process RDBMS

Primary database model

Relational DBMS

Key-value store

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.11
Rank	#173	Overall
	#78	Relational DBMS

Score	1.11
Rank	#175	Overall
	#79	Relational DBMS

Score	1.90
Rank	#127	Overall
	#21	Key-value stores

Score	103.35
Rank	#10	Overall
	#7	Relational DBMS

Website

www.gbase.cn

gitee.com/opengauss
opengauss.org

www.oracle.com/java/coherence

www.sqlite.org

Technical documentation

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

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

www.sqlite.org/docs.html

Developer

General Data Technology Co., Ltd.

Huawei and openGauss community

Oracle

Dwayne Richard Hipp

Initial release

2004

2019

2007

2000

Current release

GBase 8a, GBase 8s, GBase 8c

3.0, March 2022

14.1, August 2023

3.46.1 (13 August 2024), August 2024

License

Commercial or Open Source

commercial

Open Source

commercial

Open Source

Public Domain

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, Java, Python

C, C++, Java

Java

Server operating systems

Linux

All OS with a Java VM

server-less

Data scheme

yes

schema-free

yes

dynamic column types

Typing

predefined data types such as float or date

yes

not rigid because of 'dynamic typing' concept.

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

Standard with numerous extensions

ANSI SQL 2011

yes

SQL-92 is not fully supported

APIs and other access methods

ADO.NET
C API
JDBC
ODBC

JDBC
ODBC

JCache
JPA
RESTful HTTP API

ADO.NET

inofficial driver
JDBC

inofficial driver
ODBC

inofficial driver

Supported programming languages

C
C++
Java

.Net
C++
Java

Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl

Server-side scripts

Stored procedures

user defined functions

yes

Triggers

yes

Live Events

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash) and vertical partitioning

horizontal partitioning (by range, list and hash)

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

Concurrency

Support for concurrent manipulation of data

yes

via file-system locks

Durability

Support for making data persistent

yes

optionally

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

yes

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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