DBMS > gStore vs. H2 vs. Transwarp StellarDB

System Properties Comparison gStore vs. H2 vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

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

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

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Graph DBMS
RDF store

Relational DBMS

Graph DBMS

Secondary database models

Spatial DBMS

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

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

Score	8.13
Rank	#49	Overall
	#31	Relational DBMS

Score	0.00
Rank	#383	Overall
	#39	Graph DBMS

Website

en.gstore.cn

www.h2database.com

www.transwarp.cn/en/product/stellardb

Technical documentation

en.gstore.cn/#/enDocs

www.h2database.com/html/main.html

Developer

Thomas Mueller

Transwarp

Initial release

2016

2005

Current release

1.2, November 2023

2.2.220, July 2023

License

Commercial or Open Source

Open Source

BSD

Open Source

dual-licence (Mozilla public license, Eclipse public license)

commercial

Cloud-based only

Only available as a cloud service

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Database as a Service

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Implementation language

C++

Java

Server operating systems

Linux

All OS with a Java VM

Data scheme

schema-free and OWL/RDFS-schema support

yes

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

yes

SQL-like query language

APIs and other access methods

HTTP API
SPARQL 1.1

JDBC
ODBC

OpenCypher

Supported programming languages

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

Java

Server-side scripts

Stored procedures

yes

Java Stored Procedures and User-Defined Functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

With clustering: 2 database servers on different computers operate on identical copies of a database

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

yes

ACID

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

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

fine grained access rights according to SQL-standard

yes

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