DBMS > Hazelcast vs. OpenQM vs. UniData,UniVerse

System Properties Comparison Hazelcast vs. OpenQM vs. UniData,UniVerse

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Editorial information provided by DB-Engines

Name

Description

A widely adopted in-memory data grid

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

MultiValue database and application server with SQL mapping layer and meta database capabilities

Primary database model

Key-value store

Multivalue DBMS

Secondary database models

Document store

JSON support with IMDG 3.12

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

Score	8.16
Rank	#56	Overall
	#6	Key-value stores

Score	0.47
Rank	#288	Overall
	#10	Multivalue DBMS

Score	4.11
Rank	#90	Overall
	#2	Multivalue DBMS

Website

hazelcast.com

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

www.rocketsoftware.com/products/rocket-u2

Technical documentation

hazelcast.org/imdg/docs

www.rocketsoftware.com/products/rocket-u2/documentation

Developer

Hazelcast

Rocket Software, originally Martin Phillips

Rocket Software

Initial release

2008

1993

1985

Current release

5.3.2, August 2023

3.4-12

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

Open Source

GPLv2, extended commercial license available

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

Server operating systems

All OS with a Java VM

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

AIX
HP-UX
Linux
Solaris
Windows

Data scheme

schema-free

yes

with some exceptions

schema-free

Typing

predefined data types such as float or date

yes

optional

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

the object must implement a serialization strategy

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

JCache
JPA
Memcached protocol
RESTful HTTP API

Java API

JPA
JDBC
ODBC
OLE DB
Proprietary protocol
RESTful HTTP API
SOAP-based API

Supported programming languages

.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala

.Net
Basic
C
Java
Objective C
PHP
Python

.Net
Basic

U2 Basic
C
Java

Server-side scripts

Stored procedures

yes

Event Listeners, Executor Services

yes

Triggers

yes

Events

yes

U2 Basic

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Replicated Map

yes

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency selectable by user

Raft Consensus Algorithm

Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

one or two-phase-commit; repeatable reads; read commited

ACID

configurable

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

Role-based access control

Access rights can be defined down to the item level

Access rights according to SQL-standard and operating system based

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More resources

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