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DBMS > AllegroGraph vs. eXtremeDB vs. OrientDB

System Properties Comparison AllegroGraph vs. eXtremeDB vs. OrientDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisoneXtremeDB  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSNatively in-memory DBMS with options for persistency, high-availability and clusteringMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMS
Time Series DBMS
Document store
Graph DBMS
Key-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.33
Rank#187  Overall
#31  Document stores
#17  Graph DBMS
#7  RDF stores
Score0.80
Rank#238  Overall
#112  Relational DBMS
#19  Time Series DBMS
Score4.54
Rank#85  Overall
#15  Document stores
#5  Graph DBMS
#13  Key-value stores
Websiteallegrograph.comwww.mcobject.comorientdb.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.mcobject.com/­docs/­extremedb.htmwww.orientdb.com/­docs/­last/­index.html
DeveloperFranz Inc.McObjectOrientDB LTD; CallidusCloud; SAP
Initial release200420012010
Current release7.2.0, October 20218.2, 20213.1.9, February 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++Java
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeyes infoRDF schemasyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.no infobulk load of XML files possibleno infosupport of XML interfaces availableno
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infowith the option: eXtremeSQLSQL-like query language, no joins
APIs and other access methodsRESTful HTTP API
SPARQL
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C#
C++
Java
Lua
Python
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispyesJava, Javascript
Triggersyesyes infoby defining eventsHooks
Partitioning methods infoMethods for storing different data on different nodeswith Federationhorizontal partitioning / shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Active Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles; record level security configurable
More information provided by the system vendor
AllegroGrapheXtremeDBOrientDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
eXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
eXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
» more
Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
» more
News

What is a Semantic Layer?
6 January 2023

AllegroGraph Named “2023 – Trend Setting Product” by Database Trends and Applications
4 January 2023

The Hype Around Semantic Layers: How Important Are Standards?
11 November 2022

AllegroGraph Named “2022 Best Knowledge Graph” by KMWorld Readers’ Choice
9 November 2022

Using Ansible for AllegroGraph multi-server installation
7 November 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
AllegroGrapheXtremeDBOrientDB
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