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DBMS > Cubrid vs. MarkLogic vs. Solr vs. VelocityDB

System Properties Comparison Cubrid vs. MarkLogic vs. Solr vs. VelocityDB

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Editorial information provided by DB-Engines
NameCubrid  Xexclude from comparisonMarkLogic  Xexclude from comparisonSolr  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPOperational and transactional Enterprise NoSQL databaseA widely used distributed, scalable search engine based on Apache LuceneA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.20
Rank#169  Overall
#78  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score42.91
Rank#24  Overall
#3  Search engines
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitecubrid.com (korean)
cubrid.org (english)
www.marklogic.comsolr.apache.orgvelocitydb.com
Technical documentationcubrid.org/­manualsdocs.marklogic.comsolr.apache.org/­resources.htmlvelocitydb.com/­UserGuide
DeveloperCUBRID Corporation, CUBRID FoundationMarkLogic Corp.Apache Software FoundationVelocityDB Inc
Initial release2008200120062011
Current release11.0, January 202111.0, December 20229.6.0, April 20247.x
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++, JavaC++JavaC#
Server operating systemsLinux
Windows
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Any that supports .NET
Data schemeyesschema-free infoSchema can be enforcedyes 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.noyesyesno
Secondary indexesyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyesyes infoSQL92Solr Parallel SQL Interfaceno
APIs and other access methodsADO.NET
JDBC
ODBC
OLE DB
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Java API
RESTful HTTP/JSON API
.Net
Supported programming languagesC
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Server-side scripts infoStored proceduresJava Stored Proceduresyes infovia XQuery or JavaScriptJava pluginsno
Triggersyesyesyes infoUser configurable commands triggered on index changesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionoptimistic 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, with Range Indexesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelsyesBased on Windows Authentication

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More resources
CubridMarkLogicSolrVelocityDB
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