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DBMS > AllegroGraph vs. Riak KV vs. Solr vs. SQream DB

System Properties Comparison AllegroGraph vs. Riak KV vs. Solr vs. SQream DB

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonRiak KV  Xexclude from comparisonSolr  Xexclude from comparisonSQream DB  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSDistributed, fault tolerant key-value storeA widely used distributed, scalable search engine based on Apache Lucenea GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Key-value store infowith links between data sets and object tags for the creation of secondary indexesSearch engineRelational DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.15
Rank#166  Overall
#29  Document stores
#14  Graph DBMS
#7  RDF stores
Score6.63
Rank#64  Overall
#8  Key-value stores
Score57.26
Rank#20  Overall
#3  Search engines
Score0.60
Rank#221  Overall
#108  Relational DBMS
Websiteallegrograph.comriak.com/­products/­riak-kvlucene.apache.org/­solrsqream.com
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmllucene.apache.org/­solr/­resources.htmldocs.sqream.com
DeveloperFranz Inc.Basho TechnologiesApache Software FoundationSQream Technologies
Initial release2004200920062014
Current release7.2, October 20212.1.0, April 20158.11.1, December 20212021.2, September 2021
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache Version 2commercial
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 languageErlangJavaC++, CUDA, Haskell, Java, Scala
Server operating systemsLinux
OS X
Windows
Linux
OS X
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
Data schemeyes infoRDF schemasschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesnoyes infosupports customizable data types and automatic typingyes, ANSI Standard SQL Types
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 possiblenoyes
Secondary indexesyesrestrictedyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLSPARQL is used as query languagenoSolr Parallel SQL Interfaceyes
APIs and other access methodsRESTful HTTP API
SPARQL
HTTP API
Native Erlang Interface
Java API
RESTful HTTP/JSON API
.Net
JDBC
ODBC
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
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
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJavaScript and ErlangJava pluginsuser defined functions in Python
Triggersyesyes infopre-commit hooks and post-commit hooksyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationSharding infono "single point of failure"Shardinghorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
selectable replication factoryesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnooptimistic lockingACID
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 authenticationnoyes
More information provided by the system vendor
AllegroGraphRiak KVSolrSQream DB
Specific characteristicsKnowledge Graph Platform Leader FedShard - Designed for Entity-Event Knowledge Graph...
» more
Due to exponentially growing data, organizations today are facing slowdowns, with...
» more
Competitive advantagesAllegroGraph is uniquely suited to support adhoc queries through SPARQL, Prolog and...
» more
Much faster time to insight Analyze significantly more data Achieve previously unobtainable...
» more
Typical application scenariosWhat can you do with 100x faster SQL analytics? Better and more timely decision making...
» more
Key customersSome of our customers include: LG Uplus, AIS (Advanced Info Service), ACL Mobile,...
» more
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