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DBMS > AllegroGraph vs. Kinetica vs. Riak KV

System Properties Comparison AllegroGraph vs. Kinetica vs. Riak KV

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSGPU-accelerated database for real-time analysis of large and streaming datasetsDistributed, fault tolerant key-value store
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score5.34
Rank#67  Overall
#9  Key-value stores
Websiteallegrograph.comwww.kinetica.comriak.com/­products/­riak-kv
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlwww.kinetica.com/­docs
DeveloperFranz Inc.KineticaBasho Technologies
Initial release200420122009
Current release7.0.0, April 20206.02.1.0, April 2015
License infoCommercial or Open Sourcecommercial infoLimited community edition freecommercialOpen Source infoApache version 2, commercial enterprise edition
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 languageC, C++Erlang
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Data schemeyes infoRDF schemasyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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 possiblenono
Secondary indexesyesyesrestricted
SQL infoSupport of SQLSPARQL is used as query languageSQL-like DML and DDL statementsno
APIs and other access methodsRESTful HTTP API
SPARQL
JDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispuser defined functionsJavaScript and Erlang
Triggersyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integritynoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.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 levelno
More information provided by the system vendor
AllegroGraphKineticaRiak KV
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
AllegroGraphKineticaRiak KV
Recent citations in the news

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18 January 2021, NeighborWebSJ

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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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Is Riak A Good NoSQL Database Option For Enterprises?
1 July 2019, Analytics India Magazine

NoSQL database Riak acquired following Basho’s fall from grace
13 September 2017, Computer Business Review

Basho open-sources its Riak TS database for the Internet Of Things
5 May 2016, TechCrunch

Riak NoSQL Database: Use Cases and Best Practices
23 December 2011, InfoQ.com

Basho Revamps Riak Open-Source Database
17 September 2014, InformationWeek

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