DBMS > Ehcache vs. OpenQM vs. TinkerGraph vs. VoltDB

System Properties Comparison Ehcache vs. OpenQM vs. TinkerGraph vs. VoltDB

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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

A lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API

Distributed In-Memory NewSQL RDBMS

Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory

Primary database model

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	0.08
Rank	#348	Overall
	#35	Graph DBMS

Score	1.44
Rank	#158	Overall
	#73	Relational DBMS

Website

www.ehcache.org

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

tinkerpop.apache.org/docs/current/reference/#tinkergraph-gremlin

www.voltdb.com

Technical documentation

www.ehcache.org/documentation

docs.voltdb.com

Developer

Terracotta Inc, owned by Software AG

Rocket Software, originally Martin Phillips

VoltDB Inc.

Initial release

2009

1993

2009

2010

Current release

3.10.0, March 2022

3.4-12

11.3, April 2022

License

Commercial or Open Source

Open Source

Apache Version 2; commercial licenses available

Open Source

GPLv2, extended commercial license available

Open Source

Apache 2.0

Open Source

AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions

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

Java, C++

Server operating systems

All OS with a Java VM

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Linux
OS X

for development

Data scheme

schema-free

yes

with some exceptions

schema-free

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

only a subset of SQL 99

APIs and other access methods

JCache

TinkerPop 3

Java API
JDBC
RESTful HTTP/JSON API

Supported programming languages

Java

.Net
Basic
C
Java
Objective C
PHP
Python

Groovy
Java

C#
C++
Erlang

not officially supported
Go
Java
JavaScript

Node.js
PHP
Python

Server-side scripts

Stored procedures

yes

Java

Triggers

yes

Cache Event Listeners

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

by using Terracotta Server

yes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

yes

by using Terracotta Server

yes

none

Multi-source replication
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

none

Foreign keys

Referential integrity

yes

Relationships in graphs

FOREIGN KEY constraints are not supported

Transaction concepts

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

yes

supports JTA and can work as an XA resource

ACID

Transactions are executed single-threaded within stored procedures

Concurrency

Support for concurrent manipulation of data

yes

Data access is serialized by the server

Durability

Support for making data persistent

yes

using a tiered cache-storage approach

yes

optional

yes

Snapshots and command logging

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

Users and roles with access to stored procedures

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