DBMS > H2GIS vs. openGauss vs. Transwarp ArgoDB

System Properties Comparison H2GIS vs. openGauss vs. Transwarp ArgoDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

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

Distributed Analytical Database to replace Hadoop+MPP hybrid architecture

Primary database model

Spatial DBMS

Relational DBMS

Secondary database models

Relational DBMS

Document store
Spatial DBMS

Search engine

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

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	1.08
Rank	#183	Overall
	#84	Relational DBMS

Score	0.07
Rank	#350	Overall
	#153	Relational DBMS

Website

www.h2gis.org

gitee.com/opengauss
opengauss.org

www.transwarp.cn/en/product/argodb

Technical documentation

www.h2gis.org/docs/home

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

docs.transwarp.cn/#/documents-support/docs?category=ARGODB

Developer

CNRS

Huawei and openGauss community

Transwarp

Initial release

2013

2019

Current release

3.0, March 2022

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

commercial

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

Java

C, C++, Java

Server operating systems

Linux

Data scheme

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

ANSI SQL 2011

yes

APIs and other access methods

JDBC
ODBC

Supported programming languages

Java

C
C++
Java

Server-side scripts

Stored procedures

yes

based on H2

yes

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning (by range, list and hash)

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

Source-replica replication

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

ACID

Concurrency

Support for concurrent manipulation of data

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

yes

based on H2

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

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

openGauss Open Source Community Officially Launch
1 July 2020, huawei.com

The openGauss powers database industry forward through innovation
6 January 2022, Global Times

Huawei's Four Open Source Basic Software Projects Infuse Diversified Computing Power into Every Line of Code
12 October 2020, PR Newswire

An Industrial bank joins Huawei openGauss database community
7 December 2022, HC Newsroom

About HUAWEI Open Source
9 February 2022, huawei.com

provided by Google News

国产化替代全面开花，星环科技用自研创新技术说话
26 May 2023, dostor.com

provided by Google News

Share this page