DBMS > OpenQM vs. SpatiaLite vs. Yanza

System Properties Comparison OpenQM vs. SpatiaLite vs. Yanza

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Editorial information provided by DB-Engines

Name

Description

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

Spatial extension of SQLite

Time Series DBMS for IoT Applications

Primary database model

Multivalue DBMS

Spatial DBMS

Time Series DBMS

Secondary database models

Relational DBMS

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

Score	0.59
Rank	#261	Overall
	#10	Multivalue DBMS

Score	2.25
Rank	#135	Overall
	#3	Spatial DBMS

Score	0.00
Rank	#389	Overall
	#37	Time Series DBMS

Website

www.openqm.com

www.gaia-gis.it/fossil/libspatialite/index

yanza.com

Technical documentation

www.openqm.com/support/documentation

www.gaia-gis.it/gaia-sins/spatialite_topics.html

Developer

Martin Phillips

Alessandro Furieri

Yanza

Initial release

1993

2008

2015

Current release

3.4-12

5.0.0, August 2020

License

Commercial or Open Source

Open Source

GPLv2, extended commercial license available

Open Source

MPL 1.1, GPL v2.0 or LGPL v2.1

commercial

free version available

Cloud-based only

Only available as a cloud service

but mainly used as a service provided by Yanza

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

C++

Server operating systems

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

server-less

Windows

Data scheme

yes

with some exceptions

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

HTTP API

Supported programming languages

.Net
Basic
C
Java
Objective C
PHP
Python

any language that supports HTTP calls

Server-side scripts

Stored procedures

yes

Triggers

yes

Timer and event based

Partitioning methods

Methods for storing different data on different nodes

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

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

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

Access rights can be defined down to the item level

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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

OpenQM
5 March 2019, International Spectrum Magazine

provided by Google News

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