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DBMS > Amazon Aurora vs. BaseX vs. ClickHouse vs. Datastax Enterprise

System Properties Comparison Amazon Aurora vs. BaseX vs. ClickHouse vs. Datastax Enterprise

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonBaseX  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Column-oriented Relational DBMS powering YandexDataStax 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.
Primary database modelRelational DBMSNative XML DBMSRelational DBMSWide column store
Secondary database modelsDocument storeDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.97
Rank#47  Overall
#28  Relational DBMS
Score1.44
Rank#131  Overall
#4  Native XML DBMS
Score4.40
Rank#71  Overall
#39  Relational DBMS
Score8.09
Rank#46  Overall
#4  Wide column stores
Websiteaws.amazon.com/­rds/­aurorabasex.orgclickhouse.techwww.datastax.com/­products/­datastax-enterprise
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.basex.orgclickhouse.tech/­docsdocs.datastax.com
DeveloperAmazonBaseX GmbHYandex LLCDataStax
Initial release2015200720162011
Current release9.3.2, March 2020v19.13.3.26, August 20196.7, December 2018
License infoCommercial or Open SourcecommercialOpen Source infoBSD licenseOpen Source infoApache 2.0commercial
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 languageJavaJava
Server operating systemshostedLinux
OS X
Windows
Linux
OS X
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesno infoXQuery supports typesyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesnoSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsADO.NET
JDBC
ODBC
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesyesno
Triggersyesyes infovia eventsyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationnoneconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerno infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept on 4 levelsAccess rights for users can be defined per object
More information provided by the system vendor
Amazon AuroraBaseXClickHouseDatastax Enterprise
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» 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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraBaseXClickHouseDatastax Enterprise
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