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DBMS > AllegroGraph vs. Altibase vs. FoundationDB vs. Kinetica vs. Quasardb

System Properties Comparison AllegroGraph vs. Altibase vs. FoundationDB vs. Kinetica vs. Quasardb

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonAltibase  Xexclude from comparisonFoundationDB  Xexclude from comparisonKinetica  Xexclude from comparisonQuasardb  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSAn enterprise grade, high-performance RDBMSOrdered key-value store. Core features are complimented by layers.Fully 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 DBMSDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSTime Series DBMS
Secondary database modelsSpatial 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
Score1.07
Rank#186  Overall
#87  Relational DBMS
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websiteallegrograph.comaltibase.comgithub.com/­apple/­foundationdbwww.kinetica.comquasar.ai
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlgithub.com/­ALTIBASE/­Documents/­tree/­master/­Manualsapple.github.io/­foundationdbdocs.kinetica.comdoc.quasar.ai/­master
DeveloperFranz Inc.AltibaseFoundationDBKineticaquasardb
Initial release20041999201320122009
Current release8.0, December 2023v7.3, 2023, August 20236.2.28, November 20207.1, August 20213.14.1, January 2024
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial infoOpen source edition discontinued with March 2023Open Source infoApache 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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 languageC++C++C, C++C++
Server operating systemsLinux
OS X
Windows
AIX
HP-UX
Linux
Linux
OS X
Windows
LinuxBSD
Linux
OS X
Windows
Data schemeyes infoRDF schemasyesschema-free infosome layers support schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes 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 possiblenonono
Secondary indexesyesyesnoyesyes infowith tags
SQL infoSupport of SQLSPARQL is used as query languageANSI SQL-92supported in specific SQL layer onlySQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C++
Java
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
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 Lispstored procedures and stored functionsin SQL-layer onlyuser defined functionsno
Triggersyesyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingShardingShardingSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesyesSource-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 ConsistencyLinearizable consistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesin SQL-layer onlyyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoACID
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.noyesyes infoGPU vRAM or System RAMyes infoTransient mode
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardnoAccess rights for users and roles on table levelCryptographically strong user authentication and audit trail
More information provided by the system vendor
AllegroGraphAltibaseFoundationDBKineticaQuasardb
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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