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DBMS > AllegroGraph vs. AnzoGraph DB vs. Datomic vs. MarkLogic

System Properties Comparison AllegroGraph vs. AnzoGraph DB vs. Datomic vs. MarkLogic

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonDatomic  Xexclude from comparisonMarkLogic  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityOperational and transactional Enterprise NoSQL database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMS
RDF store
Relational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#179  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Websiteallegrograph.comcambridgesemantics.com/­anzographwww.datomic.comwww.marklogic.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.datomic.comdocs.marklogic.com
DeveloperFranz Inc.Cambridge SemanticsCognitectMarkLogic Corp.
Initial release2004201820122001
Current release8.0, December 20232.3, January 20211.0.6735, June 202311.0, December 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infofree trial version availablecommercial infolimited edition freecommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMLinux
OS X
Windows
Data schemeyes infoRDF schemasSchema-free and OWL/RDFS-schema supportyesschema-free infoSchema can be enforced
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 possiblenonoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLSPARQL is used as query languageSPARQL and SPARQL* as primary query language. Cypher preview.noyes infoSQL92
APIs and other access methodsRESTful HTTP API
SPARQL
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
RESTful HTTP APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
Python
Clojure
Java
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions and aggregatesyes infoTransaction Functionsyes infovia XQuery or JavaScript
TriggersyesnoBy using transaction functionsyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationAutomatic shardingnone infoBut extensive use of caching in the application peersSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication in MPP-Clusternone infoBut extensive use of caching in the application peersyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes inforecommended only for testing and developmentyes, with Range Indexes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and rolesnoRole-based access control at the document and subdocument levels
More information provided by the system vendor
AllegroGraphAnzoGraph DBDatomicMarkLogic
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
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