DBMS > AllegroGraph vs. OpenQM vs. searchxml vs. ToroDB

System Properties Comparison AllegroGraph vs. OpenQM vs. searchxml vs. ToroDB

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Editorial information provided by DB-Engines

Name

ToroDB seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.

Description

High performance, persistent RDF store with additional support for Graph DBMS

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

DBMS for structured and unstructured content wrapped with an application server

A MongoDB-compatible JSON document store, built on top of PostgreSQL

Primary database model

Document store

with version 6.5
Graph DBMS
RDF store
Vector DBMS

Multivalue DBMS

Native XML DBMS
Search engine

Document store

Secondary database models

Spatial DBMS

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

Score	1.13
Rank	#179	Overall
	#30	Document stores
	#17	Graph DBMS
	#7	RDF stores
	#9	Vector DBMS

Score	0.34
Rank	#284	Overall
	#10	Multivalue DBMS

Score	0.03
Rank	#390	Overall
	#7	Native XML DBMS
	#24	Search engines

Website

allegrograph.com

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

www.searchxml.net/category/products

github.com/torodb/server

Technical documentation

franz.com/agraph/support/documentation/current/agraph-introduction.html

www.searchxml.net/support/handouts

Developer

Franz Inc.

Rocket Software, originally Martin Phillips

informationpartners gmbh

8Kdata

Initial release

2004

1993

2015

2016

Current release

8.0, December 2023

3.4-12

1.0

License

Commercial or Open Source

commercial

Limited community edition free

Open Source

GPLv2, extended commercial license available

commercial

Open Source

AGPL-V3

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

C++

Java

Server operating systems

Linux
OS X
Windows

AIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows

Windows

All OS with a Java 7 VM

Data scheme

yes

RDF schemas

yes

with some exceptions

schema-free

Typing

predefined data types such as float or date

yes

string, integer, double, boolean, date, object_id

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.

bulk load of XML files possible

yes

Secondary indexes

yes

SQL

Support of SQL

SPARQL is used as query language

APIs and other access methods

RESTful HTTP API
SPARQL

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala

.Net
Basic
C
Java
Objective C
PHP
Python

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

yes

JavaScript or Common Lisp

yes

on the application server

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

with Federation

yes

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

sychronisation to multiple collections

Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

Transaction concepts

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

ACID

multiple readers, single writer

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.

User concepts

Access control

Users with fine-grained authorization concept, user roles and pluggable authentication

Access rights can be defined down to the item level

Domain, group and role-based access control at the document level and for application services

Access rights for users and roles

More information provided by the system vendor

Specific characteristics

Knowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more

Competitive advantages

AllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more

News

How a Neuro-Symbolic AI Approach Can Improve Trust in AI Apps
23 May 2024

Can Neuro-Symbolic AI Solve AI’s Weaknesses?
17 April 2024

100 Companies That Matter in KM – Franz Inc.
3 April 2024

Exploring AllegroGraph v8 – Unleashing the Power of Neuro-Symbolic AI (Recorded Webinar)
9 February 2024

What is Neuro-Symbolic AI?
23 January 2024

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Recent citations in the news

Build your own chatbot and talk to your own documents - DataScienceCentral.com
4 June 2024, Data Science Central

Q&A: Can Neuro-Symbolic AI Solve AI’s Weaknesses?
8 April 2024, TDWI

AI predictions for 2024 unveil exciting technological horizons
21 November 2023, Wire19

Neuro-Symbolic AI: The Peak of Artificial Intelligence
16 November 2021, AiThority

Dr. Jans Aasman, CEO Franz Inc., Named Keynote Speaker for SEMANTiCS Conference 2022
14 September 2022, EIN News

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