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DBMS > Amazon Neptune vs. Cubrid vs. mSQL vs. Spark SQL

System Properties Comparison Amazon Neptune vs. Cubrid vs. mSQL vs. Spark SQL

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonCubrid  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparisonSpark SQL  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 RDBMSSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelGraph DBMS
RDF store
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.56
Rank#109  Overall
#7  Graph DBMS
#5  RDF stores
Score1.13
Rank#163  Overall
#80  Relational DBMS
Score1.85
Rank#126  Overall
#61  Relational DBMS
Score22.97
Rank#34  Overall
#20  Relational DBMS
Websiteaws.amazon.com/­neptunecubrid.com (korean)
cubrid.org (english)
hughestech.com.au/­products/­msqlspark.apache.org/­sql
Technical documentationaws.amazon.com/­neptune/­developer-resourcescubrid.org/­manualsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAmazonCUBRID Corporation, CUBRID FoundationHughes TechnologiesApache Software Foundation
Initial release2017200819942014
Current release11.0, January 20214.4, October 20213.2.0, October 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial infofree licenses can be providedOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++, JavaCScala
Server operating systemshostedLinux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Linux
OS X
Windows
Data schemeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLnoyesA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggersSQL-like DML and DDL statements
APIs and other access methodsRDF 1.1 / SPARQL 1.1
TinkerPop Gremlin 3.3
ADO.NET
JDBC
ODBC
OLE DB
JDBC
ODBC
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
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresnono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonenonenoneyes, utilizing Spark Core
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 methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integrityyes infoRelationships in graphsyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesnoyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyesyesyes
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-standardnono

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More resources
Amazon NeptuneCubridmSQL infoMini SQLSpark SQL
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