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DBMS > MonetDB vs. Solr vs. Tkrzw vs. Yaacomo

System Properties Comparison MonetDB vs. Solr vs. Tkrzw vs. Yaacomo

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Editorial information provided by DB-Engines
NameMonetDB  Xexclude from comparisonSolr  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionA relational database management system that stores data in columnsA widely used distributed, scalable search engine based on Apache LuceneA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto CabinetOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSSearch engineKey-value storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.72
Rank#148  Overall
#68  Relational DBMS
Score44.28
Rank#24  Overall
#3  Search engines
Score0.09
Rank#354  Overall
#51  Key-value stores
Websitewww.monetdb.orgsolr.apache.orgdbmx.net/­tkrzwyaacomo.com
Technical documentationwww.monetdb.org/­Documentationsolr.apache.org/­resources.html
DeveloperMonetDB BVApache Software FoundationMikio HirabayashiQ2WEB GmbH
Initial release2004200620202009
Current releaseDec2023 (11.49), December 20239.5.0, February 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2Open Source infoApache Version 2.0commercial
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 languageCJavaC++
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Android
Linux
Windows
Data schemeyesyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-freeyes
Typing infopredefined data types such as float or dateyesyes infosupports customizable data types and automatic typingnoyes
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.yesnono
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infoSQL 2003 with some extensionsSolr Parallel SQL Interfacenoyes
APIs and other access methodsJDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Java API
RESTful HTTP/JSON API
JDBC
ODBC
Supported programming languagesC
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, in SQL, C, RJava pluginsno
Triggersyesyes infoUser configurable commands triggered on index changesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding via remote tablesShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoSource-replica replication available in experimental statusyesnoneSource-replica replication
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 systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDoptimistic 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.yesyes infousing specific database classesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardyesnofine grained access rights according to SQL-standard

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More resources
MonetDBSolrTkrzw infoSuccessor of Tokyo Cabinet and Kyoto CabinetYaacomo
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