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DBMS > MarkLogic vs. Newts vs. Solr vs. Tibero

System Properties Comparison MarkLogic vs. Newts vs. Solr vs. Tibero

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonNewts  Xexclude from comparisonSolr  Xexclude from comparisonTibero  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseTime Series DBMS based on CassandraA widely used distributed, scalable search engine based on Apache LuceneA secure RDBMS, designed for easy portability from Oracle
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSSearch engineRelational 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
Score0.07
Rank#375  Overall
#41  Time Series DBMS
Score41.02
Rank#24  Overall
#3  Search engines
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitewww.progress.com/­marklogicopennms.github.io/­newtssolr.apache.orgus.tmaxsoft.com/­products/­tibero
Technical documentationwww.progress.com/­marklogic/­documentationgithub.com/­OpenNMS/­newts/­wikisolr.apache.org/­resources.htmltechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperMarkLogic Corp.OpenNMS GroupApache Software FoundationTmaxSoft
Initial release2001201420062003
Current release11.0, December 20229.6.1, May 20246, April 2015
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoApache Version 2commercial
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++JavaJavaC and Assembler
Server operating systemsLinux
OS X
Windows
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)AIX
HP-UX
Linux
Solaris
Windows
Data schemeschema-free infoSchema can be enforcedschema-freeyes 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.yesnoyesyes
Secondary indexesyesnoyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLyes infoSQL92noSolr Parallel SQL Interfaceyes
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
HTTP REST
Java API
Java API
RESTful HTTP/JSON API
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnoJava pluginsPersistent Stored Procedure (PSM)
Triggersyesnoyes infoUser configurable commands triggered on index changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infobased on CassandraShardinghorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on CassandrayesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionnooptimistic 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.yes, with Range Indexesnoyesno infoplanned for next version
User concepts infoAccess controlRole-based access control at the document and subdocument levelsnoyesfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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