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DBMS > AllegroGraph vs. Kinetica vs. Oracle vs. OrigoDB

System Properties Comparison AllegroGraph vs. Kinetica vs. Oracle vs. OrigoDB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonKinetica  Xexclude from comparisonOracle  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSFully vectorized database across both GPUs and CPUsWidely used RDBMSA fully ACID in-memory object graph database
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSRelational DBMSDocument store
Object oriented DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.84
Rank#204  Overall
#35  Document stores
#18  Graph DBMS
#7  RDF stores
#10  Vector DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score1286.59
Rank#1  Overall
#1  Relational DBMS
Score0.00
Rank#385  Overall
#54  Document stores
#21  Object oriented DBMS
Websiteallegrograph.comwww.kinetica.comwww.oracle.com/­databaseorigodb.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.kinetica.comdocs.oracle.com/­en/­databaseorigodb.com/­docs
DeveloperFranz Inc.KineticaOracleRobert Friberg et al
Initial release2004201219802009 infounder the name LiveDB
Current release8.0, December 20237.1, August 202123c, September 2023
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialcommercial inforestricted free version is availableOpen Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C and C++C#
Server operating systemsLinux
OS X
Windows
LinuxAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Linux
Windows
Data schemeyes infoRDF schemasyesyes infoSchemaless in JSON and XML columnsyes
Typing infopredefined data types such as float or dateyesyesyesUser defined using .NET types and collections
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 possiblenoyesno infocan be achieved using .NET
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsyes infowith proprietary extensionsno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
.NET Client API
HTTP API
LINQ
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
.Net
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsPL/SQL infoalso stored procedures in Java possibleyes
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyesyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding, horizontal partitioninghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infoisolation level can be parameterizedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles on table levelfine grained access rights according to SQL-standardRole based authorization
More information provided by the system vendor
AllegroGraphKineticaOracleOrigoDB
News

AllegroGraph Named a 2024 Trend Setting Product
16 September 2024

Gartner recognized Franz Inc. as a Key Neuro-Symbolic AI Provider in 2024 Hype Cycle for AI
10 September 2024

Next-Generation Cybersecurity: Integrating Knowledge Graphs and Neuro-Symbolic AI with STIX and TAXII
10 September 2024

Pruning Cycles in UMLS Metathesaurus: A Neuro Symbolic AI Approach
9 September 2024

Awesome AI Companies – Franz Inc.
17 July 2024

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More resources
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