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

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

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCubrid  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  Xexclude from comparisonTrafodion  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudCUBRID 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 databasesTransactional SQL-on-Hadoop DBMS
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSSearch engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.39
Rank#113  Overall
#8  Graph DBMS
#5  RDF stores
Score1.14
Rank#164  Overall
#81  Relational DBMS
Score1.84
Rank#126  Overall
#61  Relational DBMS
Score7.61
Rank#55  Overall
#5  Search engines
Score0.50
Rank#235  Overall
#113  Relational DBMS
Websiteaws.amazon.com/­neptunecubrid.com (korean)
cubrid.org (english)
hughestech.com.au/­products/­msqlsphinxsearch.comtrafodion.apache.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcescubrid.org/­manualssphinxsearch.com/­docstrafodion.apache.org
DeveloperAmazonCUBRID Corporation, CUBRID FoundationHughes TechnologiesSphinx Technologies Inc.Apache Software Foundation, originally developed by HP
Initial release20172008199420012014
Current release11.0, January 20214.4, October 20213.4.1, July 20212.3.0, February 2019
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercial infofree licenses can be providedOpen Source infoGPL version 2, commercial licence availableOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaCC++C++, Java
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesnoyes
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 indexesnoyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)yes
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
Proprietary protocolADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
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
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoJava Stored ProceduresnonoJava Stored Procedures
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicasSource-replica replicationnonenoneyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesnoyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
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)fine grained access rights according to SQL-standardnonofine grained access rights according to SQL-standard

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More resources
Amazon NeptuneCubridmSQL infoMini SQLSphinxTrafodion
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