DBMS > gStore vs. OushuDB vs. SWC-DB

System Properties Comparison gStore vs. OushuDB vs. SWC-DB

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Editorial information provided by DB-Engines

Name

Description

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

A data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learning

A high performance, scalable Wide Column DBMS

Primary database model

Graph DBMS
RDF store

Relational DBMS

Wide column store

Secondary database models

Time Series DBMS

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

Score	0.14
Rank	#342	Overall
	#34	Graph DBMS
	#16	RDF stores

Score	0.10
Rank	#355	Overall
	#154	Relational DBMS

Score	0.08
Rank	#364	Overall
	#13	Wide column stores

Website

en.gstore.cn

www.oushu.com/product/oushuDB

github.com/kashirin-alex/swc-db
www.swcdb.org

Technical documentation

en.gstore.cn/#/enDocs

www.oushu.com/documentation

Developer

Oushu

Alex Kashirin

Initial release

2016

2020

Current release

1.2, November 2023

4.0.1, August 2020

0.5, April 2021

License

Commercial or Open Source

Open Source

BSD

commercial

Open Source

GPL V3

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

Linux

Data scheme

schema-free and OWL/RDFS-schema support

yes

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.

Secondary indexes

yes

SQL

Support of SQL

Full-featured ANSI SQL support

SQL-like query language

APIs and other access methods

HTTP API
SPARQL 1.1

JDBC
ODBC

Proprietary protocol
Thrift

Supported programming languages

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

C
C++

C++

Server-side scripts

Stored procedures

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

Sharding

MapReduce

Offers an API for user-defined Map/Reduce methods

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Transaction concepts

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

yes

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.

User concepts

Access control

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

Kerberos, SSL and role based access

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