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DBMS > BaseX vs. MongoDB vs. RDF4J

System Properties Comparison BaseX vs. MongoDB vs. RDF4J

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Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonMongoDB  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.One of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelNative XML DBMSDocument storeRDF store
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.69
Rank#139  Overall
#4  Native XML DBMS
Score429.83
Rank#5  Overall
#1  Document stores
Score0.65
Rank#228  Overall
#9  RDF stores
Websitebasex.orgwww.mongodb.comrdf4j.org
Technical documentationdocs.basex.orgwww.mongodb.com/­docs/­manualrdf4j.org/­documentation
DeveloperBaseX GmbHMongoDB, IncSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release200720092004
Current release11.1, July 20247.0.5, January 2024
License infoCommercial or Open SourceOpen Source infoBSD licenseOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenono infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
OS X
Unix
Windows
Data schemeschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes infoRDF Schemas
Typing infopredefined data types such as float or dateno infoXQuery supports typesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
Secondary indexesyesyesyes
SQL infoSupport of SQLnoRead-only SQL queries via the MongoDB Atlas SQL Interfaceno
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
GraphQL
HTTP REST
Prisma
proprietary protocol using JSON
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
Java
PHP
Python
Server-side scripts infoStored proceduresyesJavaScriptyes
Triggersyes infovia eventsyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.none
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possible
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerMulti-document ACID Transactions with snapshot isolationACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infooptional, enabled by defaultyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsAccess rights for users and rolesno
More information provided by the system vendor
BaseXMongoDBRDF4J infoformerly known as Sesame
Specific characteristicsMongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesBuilt around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosAI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsHundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» more

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More resources
BaseXMongoDBRDF4J infoformerly known as Sesame
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