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DBMS > Amazon DocumentDB vs. BaseX vs. Cubrid vs. MonetDB vs. Sphinx

System Properties Comparison Amazon DocumentDB vs. BaseX vs. Cubrid vs. MonetDB vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonBaseX  Xexclude from comparisonCubrid  Xexclude from comparisonMonetDB  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPA relational database management system that stores data in columnsOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeNative XML DBMSRelational DBMSRelational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­documentdbbasex.orgcubrid.com (korean)
cubrid.org (english)
www.monetdb.orgsphinxsearch.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.basex.orgcubrid.org/­manualswww.monetdb.org/­Documentationsphinxsearch.com/­docs
DeveloperBaseX GmbHCUBRID Corporation, CUBRID FoundationMonetDB BVSphinx Technologies Inc.
Initial release20192007200820042001
Current release11.0, June 202411.0, January 2021Dec2023 (11.49), December 20233.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoApache Version 2.0Open Source infoMozilla Public License 2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaCC++
Server operating systemshostedLinux
OS X
Windows
Linux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyesyesno
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.nono
Secondary indexesyesyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesyes infoSQL 2003 with some extensionsSQL-like query language (SphinxQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
ODBC
OLE DB
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoyesJava Stored Proceduresyes, in SQL, C, Rno
Triggersnoyes infovia eventsyesyesno
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding via remote tablesSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneSource-replica replicationnone infoSource-replica replication available in experimental statusnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsmultiple readers, single writerACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardfine grained access rights according to SQL-standardno

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More resources
Amazon DocumentDBBaseXCubridMonetDBSphinx
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