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DBMS > MarkLogic vs. Solr vs. Valentina Server vs. VictoriaMetrics

System Properties Comparison MarkLogic vs. Solr vs. Valentina Server vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonSolr  Xexclude from comparisonValentina Server  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseA widely used distributed, scalable search engine based on Apache LuceneObject-relational database and reports serverA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score41.02
Rank#24  Overall
#3  Search engines
Score0.21
Rank#325  Overall
#144  Relational DBMS
Score1.23
Rank#172  Overall
#15  Time Series DBMS
Websitewww.marklogic.comsolr.apache.orgwww.valentina-db.netvictoriametrics.com
Technical documentationdocs.marklogic.comsolr.apache.org/­resources.htmlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.phpdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperMarkLogic Corp.Apache Software FoundationParadigma SoftwareVictoriaMetrics
Initial release2001200619992018
Current release11.0, December 20229.6.1, May 20245.7.5v1.91, May 2023
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0
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 languageC++JavaGo
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)Linux
OS X
Windows
FreeBSD
Linux
macOS
OpenBSD
Data schemeschema-free infoSchema can be enforcedyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyes 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.yesyesno
Secondary indexesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infoSQL92Solr Parallel SQL Interfaceyesno
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
ODBCGraphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
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
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptJava pluginsyesno
Triggersyesyes infoUser configurable commands triggered on index changesyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesSynchronous replication
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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 Indexesyesyesno
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesfine grained access rights according to SQL-standard

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More resources
MarkLogicSolrValentina ServerVictoriaMetrics
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