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DBMS > Manticore Search vs. MarkLogic vs. RDF4J vs. Realm

System Properties Comparison Manticore Search vs. MarkLogic vs. RDF4J vs. Realm

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Editorial information provided by DB-Engines
NameManticore Search  Xexclude from comparisonMarkLogic  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionMulti-storage database for search, including full-text search.Operational and transactional Enterprise NoSQL databaseRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelSearch engineDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
RDF storeDocument store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#312  Overall
#21  Search engines
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.69
Rank#230  Overall
#9  RDF stores
Score7.60
Rank#52  Overall
#9  Document stores
Websitemanticoresearch.comwww.marklogic.comrdf4j.orgrealm.io
Technical documentationmanual.manticoresearch.comdocs.marklogic.comrdf4j.org/­documentationrealm.io/­docs
DeveloperManticore SoftwareMarkLogic Corp.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.Realm, acquired by MongoDB in May 2019
Initial release2017200120042014
Current release6.0, February 202311.0, December 2022
License infoCommercial or Open SourceOpen Source infoGPL version 2commercial inforestricted free version is availableOpen Source infoEclipse Distribution License (EDL), v1.0.Open Source
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++Java
Server operating systemsFreeBSD
Linux
macOS
Windows
Linux
OS X
Windows
Linux
OS X
Unix
Windows
Android
Backend: server-less
iOS
Windows
Data schemeFixed schemaschema-free infoSchema can be enforcedyes infoRDF Schemasyes
Typing infopredefined data types such as float or dateInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyesyes
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.Can index from XMLyesno
Secondary indexesyes infofull-text index on all search fieldsyesyesyes
SQL infoSupport of SQLSQL-like query languageyes infoSQL92nono
APIs and other access methodsBinary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
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
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesElixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresuser defined functionsyes infovia XQuery or JavaScriptyesno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyesyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication based on Galera libraryyesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoisolated transactions for atomic changes and binary logging for safe writesACID infocan act as a resource manager in an XA/JTA transactionACID infoIsolation support depends on the API usedACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infoThe original contents of fields are not stored in the Manticore index.yesyes infoin-memory storage is supported as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesyes infoIn-Memory realm
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsnoyes

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More resources
Manticore SearchMarkLogicRDF4J infoformerly known as SesameRealm
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