DBMS > AllegroGraph vs. BigObject vs. OrientDB vs. Tkrzw

System Properties Comparison AllegroGraph vs. BigObject vs. OrientDB vs. Tkrzw

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Editorial information provided by DB-Engines

Name

Description

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

Analytic DBMS for real-time computations and queries

Multi-model DBMS (Document, Graph, Key/Value)

A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet

Primary database model

Document store

with version 6.5
Graph DBMS
RDF store

Relational DBMS

a hierachical model (tree) can be imposed

Document store
Graph DBMS
Key-value store

Key-value store

Secondary database models

Spatial DBMS

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

Score	1.15
Rank	#166	Overall
	#29	Document stores
	#14	Graph DBMS
	#7	RDF stores

Score	0.05
Rank	#329	Overall
	#148	Relational DBMS

Score	5.14
Rank	#79	Overall
	#14	Document stores
	#5	Graph DBMS
	#12	Key-value stores

Score	0.00
Rank	#354	Overall
	#54	Key-value stores

Website

Technical documentation

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

docs.bigobject.io

www.orientdb.com/docs/last/index.html

Developer

Franz Inc.

BigObject, Inc.

OrientDB LTD; CallidusCloud; SAP

Mikio Hirabayashi

Initial release

2004

2015

2010

2020

Current release

7.2.0, October 2021

3.1.9, February 2021

0.9.3, August 2020

License

Commercial or Open Source

commercial

Limited community edition free

commercial

free community edition available

Open Source

Apache version 2

Open Source

Apache Version 2.0

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++

Server operating systems

Linux
OS X
Windows

Linux

distributed as a docker-image
OS X

distributed as a docker-image (boot2docker)
Windows

distributed as a docker-image (boot2docker)

All OS with a Java JDK (>= JDK 6)

Linux
macOS

Data scheme

yes

RDF schemas

yes

schema-free

Schema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")

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.

bulk load of XML files possible

Secondary indexes

yes

SQL

Support of SQL

SPARQL is used as query language

SQL-like DML and DDL statements

SQL-like query language, no joins

APIs and other access methods

RESTful HTTP API
SPARQL

fluentd
ODBC
RESTful HTTP API

Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API

Supported programming languages

C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala

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

C++
Java
Python
Ruby

Server-side scripts

Stored procedures

yes

JavaScript or Common Lisp

Lua

Java, Javascript

Triggers

yes

Hooks

Partitioning methods

Methods for storing different data on different nodes

with Federation

none

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

none

Multi-source replication

none

MapReduce

Offers an API for user-defined Map/Reduce methods

could be achieved with distributed queries

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

none

Immediate Consistency

Foreign keys

Referential integrity

yes

automatically between fact table and dimension tables

yes

relationship in graphs

Transaction concepts

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

Read/write lock on objects (tables, trees)

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

using specific database classes

User concepts

Access control

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

Access rights for users and roles; record level security configurable

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

The Knowledge Graph Conference 2022
4 May 2022

100 Companies That Matter – Franz Inc.
10 March 2022

Knowledge Graph Standards in Ambient Computing
15 February 2022

Linguistic Reduction and Knowledge Graphs for Next-Gen Chatbots
31 January 2022

Authentic Meets Artificial – The New Intelligence – DM Radio Broadcast
13 January 2022

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources

DB-Engines blog posts

Graph DBMS increased their popularity by 500% within the last 2 years
3 March 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21 January 2014, Matthias Gelbmann

show all

Recent citations in the news

Jans Aasman Articles and Insights
13 September 2021, DevOps.com

Franz Announces AllegroGraph 7.3 With Enhanced GraphQL Capabilities
17 May 2022, Database Trends and Applications

insideBIGDATA Latest News – 5/24/2022
24 May 2022, insideBIGDATA

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

Why Young Developers Don't Get Knowledge Graphs
30 July 2021, Datanami

provided by Google News

Document Databases Software Market is Expected to Reach US$ 43.33 Bn by the End of 2031-MongoDB, Amazon, ArangoDB, Azure Cosmos DB, Couchbase, MarkLogic, RethinkDB, CouchDB, SQL-RD, OrientDB, RavenDB, Redis – The Daily Vale
23 May 2022, The Daily Vale

Graph Database Market – A Comprehensive Study by Key Players:Oracle, IBM, Neo Technology, OrientDB, Franz, DataStax, Sirma AI, ArangoDB GmbH, Sparsity Technologies, Objectivity – The Daily Vale
23 May 2022, The Daily Vale

Graph Database Market Size, Trends and Forecast to 2029 | Amazon Web Services, Franz, IBM, Microsoft, Neo4j, OpenLink Software, Oracle, OrientDB, Teradata Corporation, TIBCO Software – Carbon Valley Farmer and Miner
24 May 2022, Carbon Valley Farmer and Miner

Food Allergy Diagnostics Market Size, Share, Trends, Current and Future Analysis 2022-2029 | SGS SA, Intertek Group PLC, TV SD AG, ALS Limited, Eurofins Scientific SE – The Daily Vale
25 May 2022, The Daily Vale

Graph Database Market Size And Forecast | AWS, Marklogic, Cayley, Apache, OrientDB Ltd, IBM, MarkLogic, Cray, Titan, Bitnine Global – The Daily Vale
26 May 2022, The Daily Vale

provided by Google News

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