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DBMS > Amazon Aurora vs. ClickHouse vs. Kinetica

System Properties Comparison Amazon Aurora vs. ClickHouse vs. Kinetica

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonClickHouse  Xexclude from comparisonKinetica  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonColumn-oriented Relational DBMS powering YandexGPU-accelerated database for real-time analysis of large and streaming datasets
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.76
Rank#45  Overall
#28  Relational DBMS
Score5.92
Rank#61  Overall
#34  Relational DBMS
Score0.67
Rank#196  Overall
#96  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraclickhouse.techwww.kinetica.com
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlclickhouse.tech/­docswww.kinetica.com/­docs
DeveloperAmazonYandex LLCKinetica
Initial release201520162012
Current releasev20.3.8.53, April 20206.0
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C, C++
Server operating systemshostedFreeBSD
Linux
macOS
Linux
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyesyes
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.yesnono
Secondary indexesyesnoyes
SQL infoSupport of SQLyesClose to ANSI SQLSQL-like DML and DDL statements
APIs and other access methodsADO.NET
JDBC
ODBC
HTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
RESTful HTTP API
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# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono
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.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and rolesAccess rights for users and roles on table level

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More resources
Amazon AuroraClickHouseKinetica
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Recent citations in the news

Using logical replication to replicate managed Amazon RDS for PostgreSQL and Amazon Aurora to self-managed PostgreSQL
29 July 2020, idk.dev

AWS Announces General Availability of Amazon RDS Proxy
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3 December 2019, Security Boulevard

ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
23 April 2018, PR Newswire

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31 October 2019, DevOps.com

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6 August 2020, Red & Black Student Newspaper

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GPU Database Market Report Covering Products, Financial Information, Developments, SWOT Analysis And Strategies Employed By Global Top Companies | Nvidia, Kinetica DB, OmniSci ,Neo4j
3 August 2020, Reports Watch

Global GPU Database Market Will Accelerate At a Highest CAGR By 2025-Leading Companies Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt and more
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