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DBMS > MarkLogic vs. Solr vs. TerarkDB vs. VelocityDB

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

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonSolr  Xexclude from comparisonTerarkDB  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseA widely used distributed, scalable search engine based on Apache LuceneA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDBA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineKey-value storeGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.00
Rank#383  Overall
#60  Key-value stores
Score0.05
Rank#358  Overall
#36  Graph DBMS
#16  Object oriented DBMS
Websitewww.marklogic.comsolr.apache.orggithub.com/­bytedance/­terarkdbvelocitydb.com
Technical documentationdocs.marklogic.comsolr.apache.org/­resources.htmlbytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKcvelocitydb.com/­UserGuide
DeveloperMarkLogic Corp.Apache Software FoundationByteDance, originally TerarkVelocityDB Inc
Initial release2001200620162011
Current release11.0, December 20229.5.0, February 20247.x
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache Version 2commercial inforestricted open source version availablecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaC++C#
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)Any that supports .NET
Data schemeschema-free infoSchema can be enforcedyes 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.yesyesnono
Secondary indexesyesyes infoAll search fields are automatically indexednoyes
SQL infoSupport of SQLyes infoSQL92Solr Parallel SQL Interfacenono
APIs and other access methodsJava 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
C++ API
Java API
.Net
Supported programming languagesC
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
C++
Java
.Net
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptJava pluginsnono
Triggersyesyes infoUser configurable commands triggered on index changesnoCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingnoACID
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.yes, with Range Indexesyesyesyes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesnoBased on Windows Authentication

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More resources
MarkLogicSolrTerarkDBVelocityDB
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