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DBMS > GeoSpock vs. OpenQM vs. Quasardb vs. Solr vs. Valentina Server

System Properties Comparison GeoSpock vs. OpenQM vs. Quasardb vs. Solr vs. Valentina Server

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonOpenQM infoalso called QM  Xexclude from comparisonQuasardb  Xexclude from comparisonSolr  Xexclude from comparisonValentina Server  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionSpatial and temporal data processing engine for extreme data scaleQpenQM is a high-performance, self-tuning, multi-value DBMSDistributed, high-performance timeseries databaseA widely used distributed, scalable search engine based on Apache LuceneObject-relational database and reports server
Primary database modelRelational DBMSMultivalue DBMSTime Series DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitegeospock.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmquasar.aisolr.apache.orgwww.valentina-db.net
Technical documentationdoc.quasar.ai/­mastersolr.apache.org/­resources.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGeoSpockRocket Software, originally Martin PhillipsquasardbApache Software FoundationParadigma Software
Initial release1993200920061999
Current release2.0, September 20193.4-123.14.1, January 20249.6.1, May 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2, extended commercial license availablecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, JavascriptC++Java
Server operating systemshostedAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
Windows
BSD
Linux
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
Data schemeyesyes infowith some exceptionsschema-freeyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes infointeger and binaryyes infosupports customizable data types and automatic typingyes
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.noyesnoyes
Secondary indexestemporal, categoricalyesyes infowith tagsyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)noSQL-like query languageSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBCHTTP APIJava API
RESTful HTTP/JSON API
ODBC
Supported programming languages.Net
Basic
C
Java
Objective C
PHP
Python
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
.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 proceduresnoyesnoJava pluginsyes
Triggersnoyesnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingyesSharding infoconsistent hashingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonowith Hadoop integrationspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoTransient modeyesyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights can be defined down to the item levelCryptographically strong user authentication and audit trailyesfine grained access rights according to SQL-standard

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More resources
GeoSpockOpenQM infoalso called QMQuasardbSolrValentina Server
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