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DBMS > Amazon Aurora vs. Datastax Enterprise vs. Kingbase vs. mSQL

System Properties Comparison Amazon Aurora vs. Datastax Enterprise vs. Kingbase vs. mSQL

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonKingbase  Xexclude from comparisonmSQL infoMini SQL  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonDataStax Enterprise (DSE) is the always-on, scalable data platform built on Apache Cassandra and designed for hybrid Cloud. DSE integrates graph, search, analytics, administration, developer tooling, and monitoring into a unified platform.An enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.mSQL (Mini SQL) is a simple and lightweight RDBMS
Primary database modelRelational DBMSWide column storeRelational DBMSRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Spatial DBMS
Search engine
Vector DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.57
Rank#51  Overall
#32  Relational DBMS
Score5.93
Rank#56  Overall
#4  Wide column stores
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score1.27
Rank#169  Overall
#76  Relational DBMS
Websiteaws.amazon.com/­rds/­aurorawww.datastax.com/­products/­datastax-enterprisewww.kingbase.com.cnhughestech.com.au/­products/­msql
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.datastax.com
DeveloperAmazonDataStaxBeiJing KINGBASE Information technologies inc.Hughes Technologies
Initial release2015201119991994
Current release6.8, April 2020V8.0, August 20214.4, October 2021
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infofree licenses can be provided
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC and JavaC
Server operating systemshostedLinux
OS X
Linux
Windows
AIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeyesschema-freeyesyes
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.yesnoyesno
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLStandard with numerous extensionsA subset of ANSI SQL is implemented infono subqueries, aggregate functions, views, foreign keys, triggers
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Delphi
Java
Perl
PHP
Tcl
Server-side scripts infoStored proceduresyesnouser defined functionsno
Triggersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"horizontal partitioning (by range, list and hash) and vertical partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistencynone
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesno
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectfine grained access rights according to SQL-standardno
More information provided by the system vendor
Amazon AuroraDatastax EnterpriseKingbasemSQL infoMini SQL
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald's, Microsoft, Safeway, Sony, UBS, and...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more

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More resources
Amazon AuroraDatastax EnterpriseKingbasemSQL infoMini SQL
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