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

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

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCubrid  Xexclude from comparisonEXASOL  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSphinx  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 OLTPHigh-performance, in-memory, MPP database specifically designed for in-memory analytics.mSQL (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
Relational DBMSRelational DBMSRelational DBMSSearch engine
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
Score3.81
Rank#88  Overall
#47  Relational DBMS
Score1.84
Rank#126  Overall
#61  Relational DBMS
Score7.61
Rank#55  Overall
#5  Search engines
Websiteaws.amazon.com/­neptunecubrid.com (korean)
cubrid.org (english)
www.exasol.comhughestech.com.au/­products/­msqlsphinxsearch.com
Technical documentationaws.amazon.com/­neptune/­developer-resourcescubrid.org/­manualswww.exasol.com/­resourcessphinxsearch.com/­docs
DeveloperAmazonCUBRID Corporation, CUBRID FoundationExasolHughes TechnologiesSphinx Technologies Inc.
Initial release20172008200019942001
Current release11.0, January 20214.3, October 20203.4.1, July 2021
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2commercialcommercial 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaCC++
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesnoyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like query language (SphinxQL)
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
ADO.NET
JDBC
ODBC
OLE DB
.Net
JDBC
ODBC
WebSocket
JDBC
ODBC
Proprietary protocol
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Lua
Python
R
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 proceduresnoJava Stored Proceduresuser defined functionsnono
Triggersnoyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingnoneSharding 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 replicasSource-replica replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoHadoop integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsyesyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesnoyes
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.noyesno
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-standardAccess rights for users, groups and roles according to SQL-standardnono

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More resources
Amazon NeptuneCubridEXASOLmSQL infoMini SQLSphinx
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