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

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

Editorial information provided by DB-Engines
NameGeoSpock  Xexclude from comparisonHive  Xexclude from comparisonOpenQM infoalso called QM  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 scaledata warehouse software for querying and managing large distributed datasets, built on HadoopQpenQM is a high-performance, self-tuning, multi-value DBMSA widely used distributed, scalable search engine based on Apache LuceneObject-relational database and reports server
Primary database modelRelational DBMSRelational DBMSMultivalue DBMSSearch engineRelational DBMS
Secondary database modelsTime Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.34
Rank#284  Overall
#10  Multivalue DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score0.21
Rank#325  Overall
#144  Relational DBMS
Websitegeospock.comhive.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-open-qmsolr.apache.orgwww.valentina-db.net
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homesolr.apache.org/­resources.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperGeoSpockApache Software Foundation infoinitially developed by FacebookRocket Software, originally Martin PhillipsApache Software FoundationParadigma Software
Initial release2012199320061999
Current release2.0, September 20193.1.3, April 20223.4-129.6.1, May 20245.7.5
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2Open Source infoGPLv2, extended commercial license availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaJava
Server operating systemshostedAll OS with a Java VMAIX
FreeBSD
Linux
macOS
Raspberry Pi
Solaris
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 schemeyesyesyes infowith some exceptionsyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyes 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.noyesyes
Secondary indexestemporal, categoricalyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLANSI SQL for query only (using Presto)SQL-like DML and DDL statementsnoSolr Parallel SQL Interfaceyes
APIs and other access methodsJDBCJDBC
ODBC
Thrift
Java API
RESTful HTTP/JSON API
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
Basic
C
Java
Objective C
PHP
Python
.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 proceduresnoyes infouser defined functions and integration of map-reduceyesJava pluginsyes
Triggersnonoyesyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingyesSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlAccess rights for users can be defined per tableAccess rights for users, groups and rolesAccess rights can be defined down to the item levelyesfine grained access rights according to SQL-standard

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More resources
GeoSpockHiveOpenQM infoalso called QMSolrValentina Server
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