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DBMS > AllegroGraph vs. GeoSpock vs. HEAVY.AI vs. Kinetica vs. Quasardb

System Properties Comparison AllegroGraph vs. GeoSpock vs. HEAVY.AI vs. Kinetica vs. Quasardb

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonGeoSpock  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparison
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 DBMSSpatial and temporal data processing engine for extreme data scaleA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsDistributed, high-performance timeseries database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSTime Series DBMSSpatial 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
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteallegrograph.comgeospock.comgithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comquasar.ai
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.heavy.aidocs.kinetica.comdoc.quasar.ai/­master
DeveloperFranz Inc.GeoSpockHEAVY.AI, Inc.Kineticaquasardb
Initial release2004201620122009
Current release8.0, December 20232.0, September 20195.10, January 20227.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache Version 2; enterprise edition availablecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptC++ and CUDAC, C++C++
Server operating systemsLinux
OS X
Windows
hostedLinuxLinuxBSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes infointeger and binary
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 possiblenononono
Secondary indexesyestemporal, categoricalnoyesyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL for query only (using Presto)yesSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
JDBCJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnonouser 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 FederationAutomatic shardingSharding infoRound robinShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replicationSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users can be defined per tablefine grained access rights according to SQL-standardAccess rights for users and roles on table levelCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphGeoSpockHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaQuasardb
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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