DBMS > Ehcache vs. OpenQM vs. PostGIS vs. Transbase

System Properties Comparison Ehcache vs. OpenQM vs. PostGIS vs. Transbase

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Editorial information provided by DB-Engines

Name

Description

A widely adopted Java cache with tiered storage options

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

Spatial extension of PostgreSQL

A resource-optimized, high-performance, universally applicable RDBMS

Primary database model

Secondary database models

Relational DBMS

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

Score	4.89
Rank	#67	Overall
	#8	Key-value stores

Score	0.27
Rank	#298	Overall
	#10	Multivalue DBMS

Score	22.69
Rank	#29	Overall
	#1	Spatial DBMS

Score	0.11
Rank	#341	Overall
	#150	Relational DBMS

Website

www.ehcache.org

www.rocketsoftware.com/products/rocket-multivalue-application-development-platform/rocket-open-qm

postgis.net

www.transaction.de/en/products/transbase.html

Technical documentation

www.ehcache.org/documentation

postgis.net/documentation

www.transaction.de/en/products/transbase/features.html

Developer

Terracotta Inc, owned by Software AG

Rocket Software, originally Martin Phillips

Transaction Software GmbH

Initial release

2009

1993

2005

1987

Current release

3.10.0, March 2022

3.4-12

3.4.2, February 2024

Transbase 8.3, 2022

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

Open Source

GPLv2, extended commercial license available

Open Source

GPL v2.0

commercial

free development license

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 and C++

Server operating systems

All OS with a Java VM

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

FreeBSD
Linux
macOS
Solaris
Windows

Data scheme

schema-free

yes

with some exceptions

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

APIs and other access methods

JCache

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

Java

.Net
Basic
C
Java
Objective C
PHP
Python

C
C#
C++
Java
JavaScript
Kotlin
Objective-C
PHP
Python

Server-side scripts

Stored procedures

yes

user defined functions

yes

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

yes

based on PostgreSQL

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

yes

based on PostgreSQL

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Tunable Consistency (Strong, Eventual, Weak)

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

yes

supports JTA and can work as an XA resource

ACID

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

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

yes

based on PostgreSQL

fine grained access rights according to SQL-standard

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More resources

DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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