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DBMS > AllegroGraph vs. KairosDB vs. Kinetica vs. Realm vs. VelocityDB

System Properties Comparison AllegroGraph vs. KairosDB vs. Kinetica vs. Realm vs. VelocityDB

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonRealm  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDistributed Time Series DBMS based on Cassandra or H2Fully vectorized database across both GPUs and CPUsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSRelational DBMSDocument storeGraph DBMS
Object oriented 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
Score0.62
Rank#239  Overall
#20  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websiteallegrograph.comgithub.com/­kairosdb/­kairosdbwww.kinetica.comrealm.iovelocitydb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlkairosdb.github.iodocs.kinetica.comrealm.io/­docsvelocitydb.com/­UserGuide
DeveloperFranz Inc.KineticaRealm, acquired by MongoDB in May 2019VelocityDB Inc
Initial release20042013201220142011
Current release8.0, December 20231.2.2, November 20187.1, August 20217.x
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0commercialOpen Sourcecommercial
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 languageJavaC, C++C#
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxAndroid
Backend: server-less
iOS
Windows
Any that supports .NET
Data schemeyes infoRDF schemasschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesnoyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statementsnono
APIs and other access methodsRESTful HTTP API
SPARQL
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
.Net
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
.Net
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functionsno inforuns within the applications so server-side scripts are unnecessaryno
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoChange ListenersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infobased on CassandraShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-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 configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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 RAMyes infoIn-Memory realmyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationsimple password-based access controlAccess rights for users and roles on table levelyesBased on Windows Authentication
More information provided by the system vendor
AllegroGraphKairosDBKineticaRealmVelocityDB
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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