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DBMS > FeatureBase vs. MarkLogic vs. Solr vs. Tkrzw

System Properties Comparison FeatureBase vs. MarkLogic vs. Solr vs. Tkrzw

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonMarkLogic  Xexclude from comparisonSolr  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Operational and transactional Enterprise NoSQL databaseA 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 Cabinet
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineKey-value store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#309  Overall
#139  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
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitewww.featurebase.comwww.marklogic.comsolr.apache.orgdbmx.net/­tkrzw
Technical documentationdocs.featurebase.comdocs.marklogic.comsolr.apache.org/­resources.html
DeveloperMolecula and Pilosa Open Source ContributorsMarkLogic Corp.Apache Software FoundationMikio Hirabayashi
Initial release2017200120062020
Current release2022, May 202211.0, December 20229.6.0, April 20240.9.3, August 2020
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availableOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC++JavaC++
Server operating systemsLinux
macOS
Linux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Linux
macOS
Data schemeyesschema-free infoSchema can be enforcedyes infoDynamic Fields enables on-the-fly addition of new fieldsschema-free
Typing infopredefined data types such as float or dateyesyesyes infosupports customizable data types and automatic typingno
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 indexesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLSQL queriesyes infoSQL92Solr Parallel SQL Interfaceno
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
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
Supported programming languagesJava
Python
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
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptJava pluginsno
Triggersnoyesyes infoUser configurable commands triggered on index changesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyesnone
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 reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infocan act as a resource manager in an XA/JTA transactionoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyesyes infousing specific database classes
User concepts infoAccess controlRole-based access control at the document and subdocument levelsyesno

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More resources
FeatureBaseMarkLogicSolrTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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