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DBMS > AllegroGraph vs. Blazegraph vs. GeoSpock vs. Kinetica vs. STSdb

System Properties Comparison AllegroGraph vs. Blazegraph vs. GeoSpock vs. Kinetica vs. STSdb

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonBlazegraph  Xexclude from comparisonGeoSpock  Xexclude from comparisonKinetica  Xexclude from comparisonSTSdb  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Spatial and temporal data processing engine for extreme data scaleFully vectorized database across both GPUs and CPUsKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Graph DBMS
RDF store
Relational DBMSRelational DBMSKey-value store
Secondary database modelsSpatial DBMSTime Series DBMSSpatial DBMS
Time Series 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
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websiteallegrograph.comblazegraph.comgeospock.comwww.kinetica.comgithub.com/­STSSoft/­STSdb4
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwiki.blazegraph.comdocs.kinetica.com
DeveloperFranz Inc.BlazegraphGeoSpockKineticaSTS Soft SC
Initial release2004200620122011
Current release8.0, December 20232.1.5, March 20192.0, September 20197.1, August 20214.0.8, September 2015
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoextended commercial license availablecommercialcommercialOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJava, JavascriptC, C++C#
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
hostedLinuxWindows
Data schemeyes infoRDF schemasschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesyestemporal, categoricalyesno
SQL infoSupport of SQLSPARQL is used as query languageSPARQL is used as query languageANSI SQL for query only (using Presto)SQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
JDBCJDBC
ODBC
RESTful HTTP API
.NET Client API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
C#
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyesnouser defined functionsno
Triggersyesnonoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingAutomatic shardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes infoRelationships in Graphsnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationSecurity and Authentication via Web Application Container (Tomcat, Jetty)Access rights for users can be defined per tableAccess rights for users and roles on table levelno
More information provided by the system vendor
AllegroGraphBlazegraphGeoSpockKineticaSTSdb
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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