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DBMS > AllegroGraph vs. HBase vs. Riak KV vs. STSdb

System Properties Comparison AllegroGraph vs. HBase vs. Riak KV vs. STSdb

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonHBase  Xexclude from comparisonRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSWide-column store based on Apache Hadoop and on concepts of BigTableDistributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Wide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.86
Rank#162  Overall
#24  Document stores
#12  Graph DBMS
#6  RDF stores
Score53.34
Rank#21  Overall
#2  Wide column stores
Score5.39
Rank#59  Overall
#9  Key-value stores
Score0.08
Rank#288  Overall
#47  Key-value stores
Websitefranz.com/­agraph/­allegrographhbase.apache.orgbasho.com/­products/­riak-kvstssoft.com/­products/­stsdb-4-0
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlhbase.apache.org
DeveloperFranz Inc.Apache Software Foundation infoApache top-level project, originally developed by PowersetBasho TechnologiesSTS Soft SC
Initial release2004200820092011
Current release6.6.0, August 20192.2.0, June 20192.1.0, April 2015
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache version 2Open Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license available
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 languageJavaErlangC#
Server operating systemsLinux
OS X
Windows
Linux
Unix
Windows infousing Cygwin
Linux
OS X
Windows
Data schemeyes infoRDF schemasschema-free, schema definition possibleschema-freeyes
Typing infopredefined data types such as float or dateyesoptions to bring your own types, AVROnoyes infoprimitive types and user defined types (classes)
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 indexesyesnorestrictedno
SQL infoSupport of SQLSPARQL is used as query languagenonono
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP API
Thrift
HTTP API
Native Erlang Interface
.NET Client API
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
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
C#
Java
Server-side scripts infoStored proceduresyes infoJavaScript or Common Lispyes infoCoprocessors in JavaJavaScript and Erlangno
Triggersyesyesyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
Multi-master replication
Master-master replication
Master-slave replication
selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency or Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDSingle row ACID (across millions of columns)nono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACnono
More information provided by the system vendor
AllegroGraphHBaseRiak KVSTSdb
Specific characteristicsKnowledge Graph Platform Leader Document Store and Graph Database. Supporting JSON...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
News

Triple Attributes
2 May 2018

Allegro "Knowledge" Graph News - March 2018
7 March 2018

AllegroGraph v6.4 - Now Available
23 January 2018

AllegroGraph News - December 2017
20 December 2017

AllegroGraph News - November 2017
2 November 2017

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More resources
AllegroGraphHBaseRiak KVSTSdb
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