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DBMS > AllegroGraph vs. Citus vs. Kinetica

System Properties Comparison AllegroGraph vs. Citus vs. Kinetica

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonCitus  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSScalable hybrid operational and analytics RDBMS for big data use cases based on PostgreSQLGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.01
Rank#167  Overall
#25  Document stores
#14  Graph DBMS
#7  RDF stores
Score1.24
Rank#151  Overall
#74  Relational DBMS
Score0.75
Rank#193  Overall
#95  Relational DBMS
Websiteallegrograph.comwww.citusdata.comwww.kinetica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.citusdata.comwww.kinetica.com/­docs
DeveloperFranz Inc.Kinetica
Initial release200420102012
Current release7.0.0, April 20208.1, December 20186.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoAGPL, commercial license also availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCC, C++
Server operating systemsLinux
OS X
Windows
LinuxLinux
Data schemeyes infoRDF schemasyesyes
Typing infopredefined data types such as float or dateyesyesyes
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 possibleyes infospecific XML type available, but no XML query functionalityno
Secondary indexesyesyesyes
SQL infoSupport of SQLSPARQL is used as query languageyes infostandard, with numerous extensionsSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.user defined functions
Triggersyesyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationfine grained access rights according to SQL-standardAccess rights for users and roles on table level
More information provided by the system vendor
AllegroGraphCitusKinetica
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
News

Connected Data London – The Future of AI in the Enterprise
3 September 2020

Using Microsoft Power BI with AllegroGraph
19 August 2020

Franz Inc. Named an AI 50 Company by KMWorld
18 August 2020

Knowledge graphs enhance customer experience through speed and accuracy
10 July 2020

AllegroGraph Named to 100 Companies That Matter Most in Data
22 June 2020

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

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More resources
AllegroGraphCitusKinetica
Conferences and events

Enterprise Knowledge Graphs, Connected-Data.London
Webinar, 23 September 2020 (finished)

Recent citations in the news

Franz Inc. to Present at The Global Graph Summit and Data Day Texas 2020
10 January 2020, PR Web

AllegroGraph Named to 100 Companies That Matter Most in Data
23 June 2020, PR Web

AllegroGraph v7 Powers First Distributed Semantic Knowledge Graph Solution with Federated-Sharding
26 May 2020, Business Wire

Ubiquitous AI Demands A New Type Of Database Sharding
1 May 2020, Forbes

Little Known Artificial Intelligence Secrets: What Unsupervised Learning Really Means
22 August 2020, insideBIGDATA

provided by Google News

Database Software Global Market Report 2020-30: Covid 19 Impact and Recovery
16 September 2020, GlobeNewswire

Microsoft acquires Citus Data
24 January 2019, TechCrunch

Citus Data Announces Citus Cloud Database Support for HIPAA and SOC 2 Type 2 Compliance
13 November 2018, Business Wire

Microsoft Expands Azure PostgreSQL Moxy Through Citus Data Purchase
30 January 2019, Data Center Knowledge

Citus Data Announces HIPAA-Compliant Healthcare Cloud
13 November 2018, HITInfrastructure.com

provided by Google News

The Kinetica Streaming Data Warehouse Eliminates Legacy Analytics Latency with Simultaneous Streaming and Data Analysis
3 September 2020, Business Wire

Kinetica Streaming Data Warehouse Update Designed for Petabyte-Scale Data Sets
15 September 2020, TDWI

GPU Database Market Trends, Top Manufactures, Share, Industry Growth Analysis & Forecast 2028
25 September 2020, The Daily Chronicle

Global GPU Database Market To Touch Highest Milestone In Terms of Overall Growth By 2026
24 September 2020, thedailychronicle.in

Impact of Covid-19 on GPU Database Market Comprehensive Growth 2020-2026 with Top key vendor Nvidia, Jedox, Bl
24 September 2020, openPR

provided by Google News

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