DBMS > H2GIS vs. OpenQM vs. TerarkDB

System Properties Comparison H2GIS vs. OpenQM vs. TerarkDB

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Editorial information provided by DB-Engines

Name

Description

Spatial extension of H2

QpenQM is a high-performance, self-tuning, multi-value DBMS

A key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB

Primary database model

Spatial DBMS

Multivalue DBMS

Key-value store

Secondary database models

Relational DBMS

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

Score	0.20
Rank	#351	Overall
	#5	Spatial DBMS

Score	0.59
Rank	#261	Overall
	#10	Multivalue DBMS

Score	0.25
Rank	#337	Overall
	#51	Key-value stores

Website

www.h2gis.org

www.openqm.com

github.com/Terark/terarkdb

Technical documentation

www.h2gis.org/docs/home

www.openqm.com/support/documentation

github.com/Terark/terarkdb/wiki

Developer

CNRS

Martin Phillips

Terark

Initial release

2013

1993

2016

Current release

3.4-12

License

Commercial or Open Source

Open Source

LGPL 3.0

Open Source

GPLv2, extended commercial license available

commercial

restricted open source version available

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++

Server operating systems

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Data scheme

yes

with some exceptions

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

C++ API
Java API

Supported programming languages

Java

.Net
Basic
C
Java
Objective C
PHP
Python

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

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

based on H2

yes

none

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 can be defined down to the item level

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More resources

Recent citations in the news

OpenQM
5 March 2019, International Spectrum Magazine

provided by Google News

Understand NVMe 2.0 specification and its related features
4 January 2022, TechTarget

Terark, A Chinese Startup, May Have Just Revolutionized How Data Is Stored, Accessed & Analyzed
26 June 2017, Indiatimes.com

provided by Google News

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