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DBMS > AllegroGraph vs. Solr vs. Valentina Server vs. Warp 10

System Properties Comparison AllegroGraph vs. Solr vs. Valentina Server vs. Warp 10

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Editorial information provided by DB-Engines
NameAllegroGraph  Xexclude from comparisonSolr  Xexclude from comparisonValentina Server  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionHigh performance, persistent RDF store with additional support for Graph DBMSA widely used distributed, scalable search engine based on Apache LuceneObject-relational database and reports serverTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Search engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteallegrograph.comsolr.apache.orgwww.valentina-db.netwww.warp10.io
Technical documentationfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmlsolr.apache.org/­resources.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpwww.warp10.io/­content/­02_Getting_started
DeveloperFranz Inc.Apache Software FoundationParadigma SoftwareSenX
Initial release2004200619992015
Current release8.0, December 20239.6.0, April 20245.7.5
License infoCommercial or Open Sourcecommercial infoLimited community edition freeOpen Source infoApache Version 2commercialOpen Source infoApache License 2.0
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 languageJavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyes infoRDF schemasyes infoDynamic Fields enables on-the-fly addition of new fieldsyesschema-free
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingyesyes
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 possibleyesno
Secondary indexesyesyes infoAll search fields are automatically indexedyesno
SQL infoSupport of SQLSPARQL is used as query languageSolr Parallel SQL Interfaceyesno
APIs and other access methodsRESTful HTTP API
SPARQL
Java API
RESTful HTTP/JSON API
ODBCHTTP API
Jupyter
WebSocket
Supported programming languagesC#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infoJavaScript or Common LispJava pluginsyesyes infoWarpScript
Triggersyesyes infoUser configurable commands triggered on index changesyesno
Partitioning methods infoMethods for storing different data on different nodeswith FederationShardingSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yesselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyesyes
User concepts infoAccess controlUsers with fine-grained authorization concept, user roles and pluggable authenticationyesfine grained access rights according to SQL-standardMandatory use of cryptographic tokens, containing fine-grained authorizations
More information provided by the system vendor
AllegroGraphSolrValentina ServerWarp 10
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
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