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

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

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonMonetDB  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonColumn-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.A relational database management system that stores data in columns
Primary database modelRelational DBMSRelational DBMSWide column storeRelational DBMS
Secondary database modelsDocument storeDocument store
Graph DBMS
Document store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.97
Rank#47  Overall
#28  Relational DBMS
Score4.40
Rank#71  Overall
#39  Relational DBMS
Score8.09
Rank#46  Overall
#4  Wide column stores
Score1.60
Rank#123  Overall
#60  Relational DBMS
Websiteaws.amazon.com/­rds/­auroraclickhouse.techwww.datastax.com/­products/­datastax-enterprisewww.monetdb.org
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlclickhouse.tech/­docsdocs.datastax.comwww.monetdb.org/­Documentation
DeveloperAmazonYandex LLCDataStaxMonetDB BV
Initial release2015201620112004
Current releasev19.13.3.26, August 20196.7, December 2018Nov2019-SP1, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoMozilla Public License 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 languageJavaC
Server operating systemshostedLinux
OS X
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLyes infoSQL 2003 with some extensions
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
JDBC
native C library infoMAPI library (MonetDB application programming interface)
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
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored proceduresyesnoyes, in SQL, C, R
Triggersyesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"Sharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingnone infoMaster-slave replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
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 integrityyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsACID
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-standardAccess rights for users can be defined per objectfine grained access rights according to SQL-standard
More information provided by the system vendor
Amazon AuroraClickHouseDatastax EnterpriseMonetDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Column-store In-memory optimized GeoSpatial support JSON document support
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
Scalable architecture - vertical data organization and in-memory optimization guarantee...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Analytical database, Data warehouse, OLAP Data mining Scientific database
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Numascale , Spinque , SecurActive , CHS , NOZHUP
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Licensing and pricing modelsAnnual subscription
» more
Free and open-source software, Mozilla Public License 2.0 Commercial support available
» more
News

Optimistic Concurrency Control in MonetDB
3 January 2020

Limit memory usage of MonetDB on Linux with CGROUPS
9 May 2019

SQL:2003 merge statements now supported in MonetDB
8 March 2019

Extended SQL:2011 Window Functions in MonetDB
26 February 2019

Updatable MERGE TABLEs with partition predicates
26 February 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
Amazon AuroraClickHouseDatastax EnterpriseMonetDB
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Recent citations in the news

What is Amazon Aurora?
23 December 2019, TechRadar

Resource guide for Amazon Aurora users
13 September 2019, MIT Technology Review

Amazon Announces General Availability of Aurora Multi-Master
3 September 2019, InfoQ.com

PostgreSQL on Amazon Aurora Serverless goes live. Check the price tag before diving in, though
10 July 2019, The Register

Amazon Aurora PostgreSQL Serverless generally available: Autoscaling & automatic
12 July 2019, JAXenter

provided by Google News

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31 October 2019, DevOps.com

Percona Announces Enhanced Version of Award-Winning Open Source Database Monitoring and Management Platform, For Faster Performance Issue Resolution
1 October 2019, GlobeNewswire

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

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DataStax Enterprise 6.8 Advances Cloud-Native Data and Bare-Metal Performance
7 April 2020, Yahoo Finance

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7 April 2020, The Register

DataStax throws arms around Apache Cassandra, offers it an operator
31 March 2020, DevClass

DataStax Releases Open-Source Kubernetes Operator for Cassandra
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Datastax Launches Tech Support for Open Source Cassandra
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