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DBMS > Amazon Neptune vs. CouchDB vs. Cubrid vs. mSQL vs. Sphinx

System Properties Comparison Amazon Neptune vs. CouchDB vs. Cubrid vs. mSQL vs. Sphinx

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonCubrid  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.CUBRID is an open-source SQL-based relational database management system with object extensions for OLTPmSQL (Mini SQL) is a simple and lightweight RDBMSOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMSSearch engine
Secondary database modelsSpatial DBMS infousing the Geocouch extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score10.26
Rank#45  Overall
#7  Document stores
Score1.31
Rank#169  Overall
#78  Relational DBMS
Score1.67
Rank#151  Overall
#70  Relational DBMS
Score6.03
Rank#60  Overall
#6  Search engines
Websiteaws.amazon.com/­neptunecouchdb.apache.orgcubrid.com (korean)
cubrid.org (english)
hughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.couchdb.org/­en/­stablecubrid.org/­manualssphinxsearch.com/­docs
DeveloperAmazonApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerCUBRID Corporation, CUBRID FoundationHughes TechnologiesSphinx Technologies Inc.
Initial release20172005200819942001
Current release3.3.3, December 202311.0, January 20214.4, October 20213.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2.0commercial infofree licenses can be providedOpen 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 languageErlangC, C++, JavaCC++
Server operating systemshostedAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesnoyesyesno
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.nononono
Secondary indexesnoyes infovia viewsyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Delphi
Java
Perl
PHP
Tcl
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoView functions in JavaScriptJava Stored Proceduresnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoimproved architecture with release 2.0nonenoneSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication
Source-replica replication
Source-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infostrategy: optimistic lockingyesnoyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyesyes 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.nonono
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Access rights for users can be defined per databasefine grained access rights according to SQL-standardnono

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More resources
Amazon NeptuneCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"CubridmSQL infoMini SQLSphinx
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