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DBMS > Amazon Aurora vs. ClickHouse vs. Datastax Enterprise vs. Riak KV

System Properties Comparison Amazon Aurora vs. ClickHouse vs. Datastax Enterprise vs. Riak KV

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonRiak KV  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.Distributed, fault tolerant key-value store
Primary database modelRelational DBMSRelational DBMSWide column storeKey-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score4.40
Rank#71  Overall
#39  Relational DBMS
Score8.09
Rank#46  Overall
#4  Wide column stores
Score5.24
Rank#59  Overall
#9  Key-value stores
Websiteaws.amazon.com/­rds/­auroraclickhouse.techwww.datastax.com/­products/­datastax-enterpriseriak.com/­products/­riak-kv
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlclickhouse.tech/­docsdocs.datastax.com
DeveloperAmazonYandex LLCDataStaxBasho Technologies
Initial release2015201620112009
Current releasev19.13.3.26, August 20196.7, December 20182.1.0, April 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache version 2, commercial enterprise edition
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 languageJavaErlang
Server operating systemshostedLinux
OS X
Linux
OS X
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesno
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 indexesyesyesrestricted
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLno
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP API
Native Erlang Interface
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 infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored proceduresyesnoJavaScript and Erlang
Triggersyesyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"Sharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Eventual Consistency
Foreign keys infoReferential integrityyesnono infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoAtomicity and isolation are supported for single operationsno
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 objectno
More information provided by the system vendor
Amazon AuroraClickHouseDatastax EnterpriseRiak KV
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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More resources
Amazon AuroraClickHouseDatastax EnterpriseRiak KV
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