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

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

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Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonQuasardb  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, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSWide column storeTime Series DBMS
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
Score0.11
Rank#281  Overall
#23  Time Series DBMS
Websiteaws.amazon.com/­rds/­auroraclickhouse.techwww.datastax.com/­products/­datastax-enterprisewww.quasardb.net
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlclickhouse.tech/­docsdocs.datastax.comdoc.quasardb.net
DeveloperAmazonYandex LLCDataStaxquasardb
Initial release2015201620112009
Current releasev19.13.3.26, August 20196.7, December 20183.1, January 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
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
BSD
Linux
OS X
Windows
Data schemeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infointeger and binary
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 indexesyesyesyes infowith tags
SQL infoSupport of SQLyesSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
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
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyesnono
Triggersyesyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infono "single point of failure"Sharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-slave replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration
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 Consistency
Foreign keys infoReferential integrityyesnono
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 infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoTransient mode
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users can be defined per objectCryptographically strong user authentication and audit trail
More information provided by the system vendor
Amazon AuroraClickHouseDatastax EnterpriseQuasardb
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
High-performance , high-speed, fully integrated timeseries database Seamlessly combines...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
» more
High performance in a cost-effective small package Real-time results for even large...
» more
Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
Tick database Predictive maintenance Pre-deal checks Large scale monitoring
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Large EU investment banks US based hedge funds Orolia Tellmeplus
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
Has been running in very demanding production environments since 2013 Rapid adoption...
» more
Licensing and pricing modelsAnnual subscription
» more
Community edition limited to 2 nodes and 16 GiB of storage per node available for...
» more

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More resources
Amazon AuroraClickHouseDatastax EnterpriseQuasardb
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