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DBMS > AllegroGraph vs. Datomic vs. Graphite vs. Hive vs. RDFox

System Properties Comparison AllegroGraph vs. Datomic vs. Graphite vs. Hive vs. RDFox

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonGraphite  Xexclude from comparisonHive  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisperdata warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSTime Series DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websiteallegrograph.comwww.datomic.comgithub.com/­graphite-project/­graphite-webhive.apache.orgwww.oxfordsemantic.tech
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comgraphite.readthedocs.iocwiki.apache.org/­confluence/­display/­Hive/­Homedocs.oxfordsemantic.tech
DeveloperFranz Inc.CognitectChris DavisApache Software Foundation infoinitially developed by FacebookOxford Semantic Technologies
Initial release20042012200620122017
Current release8.0, December 20231.0.6735, June 20233.1.3, April 20226.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojurePythonJavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Unix
All OS with a Java VMLinux
macOS
Windows
Data schemeyes infoRDF schemasyesyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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 indexesyesyesnoyes
SQL infoSupport of SQLSPARQL is used as query languagenonoSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
RESTful HTTP APIHTTP API
Sockets
JDBC
ODBC
Thrift
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
JavaScript (Node.js)
Python
C++
Java
PHP
Python
C
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoTransaction Functionsnoyes infouser defined functions and integration of map-reduce
TriggersyesBy using transaction functionsnono
Partitioning methods infoMethods for storing different data on different nodeswith Federationnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersnoneselectable replication factorreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencynoneEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyes
Durability infoSupport for making data persistentyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationnonoAccess rights for users, groups and rolesRoles, resources, and access types
More information provided by the system vendor
AllegroGraphDatomicGraphiteHiveRDFox
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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