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

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

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonKairosDB  Xexclude from comparisonKinetica  Xexclude from comparisonVelocityDB  Xexclude from comparisonVitess  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 .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)Scalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Time Series DBMSRelational DBMSGraph DBMS
Object oriented DBMS
Relational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Document store
Spatial 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
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websiteallegrograph.comgithub.com/­kairosdb/­kairosdbwww.kinetica.comvelocitydb.comvitess.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlkairosdb.github.iodocs.kinetica.comvelocitydb.com/­UserGuidevitess.io/­docs
DeveloperFranz Inc.KineticaVelocityDB IncThe Linux Foundation, PlanetScale
Initial release20042013201220112013
Current release8.0, December 20231.2.2, November 20187.1, August 20217.x15.0.2, December 2022
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2.0, commercial licenses available
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#Go
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
LinuxAny that supports .NETDocker
Linux
macOS
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 possiblenonono
Secondary indexesyesnoyesyesyes
SQL infoSupport of SQLSPARQL is used as query languagenoSQL-like DML and DDL statementsnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP API
SPARQL
Graphite protocol
HTTP REST
Telnet API
JDBC
ODBC
RESTful HTTP API
.NetADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Java
JavaScript infoNode.js
PHP
Python
C++
Java
JavaScript (Node.js)
Python
.NetAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispnouser defined functionsnoyes infoproprietary syntax
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infobased on CassandraShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factor infobased on CassandraSource-replica replicationMulti-source replication
Source-replica replication
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 ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynonoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes infotable locks or row locks depending on storage engine
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 RAMyesyes
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 levelBased on Windows AuthenticationUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
AllegroGraphKairosDBKineticaVelocityDBVitess
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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8 January 2024

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More resources
AllegroGraphKairosDBKineticaVelocityDBVitess
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