DBMS > H2GIS vs. openGemini vs. PostGIS

System Properties Comparison H2GIS vs. openGemini vs. PostGIS

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

An open source distributed Time Series DBMS with high concurrency, high performance, and high scalability

Spatial extension of PostgreSQL

Primary database model

Spatial DBMS

Time Series DBMS

Spatial DBMS

Secondary database models

Relational DBMS

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Trend Chart

Score	0.00
Rank	#383	Overall
	#7	Spatial DBMS

Score	0.01
Rank	#375	Overall
	#39	Time Series DBMS

Score	22.69
Rank	#29	Overall
	#1	Spatial DBMS

Website

www.h2gis.org

www.opengemini.org
github.com/openGemini

postgis.net

Technical documentation

www.h2gis.org/docs/home

docs.opengemini.org/guide

postgis.net/documentation

Developer

CNRS

Huawei and openGemini community

Initial release

2013

2022

2005

Current release

1.1, July 2023

3.4.2, February 2024

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

Apache Version 2.0

Open Source

GPL v2.0

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

Java

Server operating systems

Linux
Windows

Data scheme

yes

schema-free

yes

Typing

predefined data types such as float or date

yes

Integer, Float, Boolean, String

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

SQL-like query language

yes

APIs and other access methods

HTTP REST

Supported programming languages

Java

C
C++
Go
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

yes

based on H2

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

based on PostgreSQL

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

Administrators and common users accounts

yes

based on PostgreSQL

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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Recent citations in the news

About HUAWEI Open Source
9 February 2022, huawei.com

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