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DBMS > AllegroGraph vs. Kinetica

System Properties Comparison AllegroGraph vs. Kinetica

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Our visitors often compare AllegroGraph and Kinetica with Neo4j, Blazegraph and MongoDB.

Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.19
Rank#156  Overall
#26  Document stores
#13  Graph DBMS
#7  RDF stores
Score0.76
Rank#193  Overall
#97  Relational DBMS
Websiteallegrograph.comwww.kinetica.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.kinetica.com/­docs
DeveloperFranz Inc.Kinetica
Initial release20042012
Current release7.0.0, April 20206.0
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++
Server operating systemsLinux
OS X
Windows
Linux
Data schemeyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyesyes
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 possibleno
Secondary indexesyesyes
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statements
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functions
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess rights for users and roles on table level
More information provided by the system vendor
AllegroGraphKinetica
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

Data Fabrics and Knowledge Graphs — A Symbiotic Relationship
6 November 2020

RDF vs Property Graph – The Graph Show
3 November 2020

Text Analytics Forum 2020 – KMWorld Connect
27 October 2020

Sharing Ontologies Globally To Speed Science And Healthcare Solutions – OntoPortal
7 October 2020

Knowledge Graphs: A Single Source of Truth for the Enterprise
5 October 2020

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

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More resources
AllegroGraphKinetica
Recent citations in the news

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11 January 2021, KMWorld Magazine

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9 December 2020, Business Wire

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Ubiquitous AI Demands A New Type Of Database Sharding
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Global GPU Database Market Top Players Analysis By 2026: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anacond etc.a
18 January 2021, NeighborWebSJ

GPU Database Market to reach US $1,484.1 Million by 2028 - Insights on Trends, COVID-19 Impact Analysis, Regulatory Landscape, Growth Opportunities and Future Prospect: Adroit Market Research
28 December 2020, GlobeNewswire

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14 January 2021, The Pinstripe Empire

GPU Database Market Growth Opportunities, Share by Industry Competitors – Fuzzy Logix, BlazingDB, SQream, HeteroDB, Graphistry, Brytlyt, Anaconda, Jedox, Neo4j, Kinetica, Blazegraph, OmniSci, Zilliz, NVIDIA
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