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DBMS > AllegroGraph vs. Datastax Enterprise vs. OrientDB

System Properties Comparison AllegroGraph vs. Datastax Enterprise vs. OrientDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.Multi-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Wide column storeDocument store
Graph DBMS
Key-value store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.30
Rank#150  Overall
#26  Document stores
#13  Graph DBMS
#7  RDF stores
Score7.87
Rank#52  Overall
#4  Wide column stores
Score4.01
Rank#83  Overall
#13  Document stores
#5  Graph DBMS
#12  Key-value stores
Websiteallegrograph.comwww.datastax.com/­products/­datastax-enterpriseorientdb.org
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datastax.comwww.orientdb.com/­docs/­last/­index.html
DeveloperFranz Inc.DataStaxOrientDB LTD; CallidusCloud; SAP
Initial release200420112010
Current release7.0.0, April 20206.8, April 20203.1.9, 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 languageJavaJava
Server operating systemsLinux
OS X
Windows
Linux
OS X
All OS with a Java JDK (>= JDK 6)
Data schemeyes infoRDF schemasschema-freeschema-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 possiblenono
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language, no joins
APIs and other access methodsRESTful HTTP API
SPARQL
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispnoJava, Javascript
TriggersyesyesHooks
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
configurable replication factor, datacenter aware, advanced replication for edge computingMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 can be defined per objectAccess rights for users and roles; record level security configurable
More information provided by the system vendor
AllegroGraphDatastax EnterpriseOrientDB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
DataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Supporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
News

The Next Step in Machine Learning’s Evolution: Graph Neural Networks
29 July 2021

Franz Inc. Named to KMWorld’s AI50
14 July 2021

AiThority Interview with Dr. Jans Aasman
1 July 2021

The Amazing Applications of Graph Neural Networks
26 June 2021

KM Global Network Conference – Visualizing Knowledge (Recording)
22 June 2021

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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
AllegroGraphDatastax EnterpriseOrientDB
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