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DBMS > Amazon Redshift vs. Atos Standard Common Repository vs. ClickHouse vs. Datastax Enterprise

System Properties Comparison Amazon Redshift vs. Atos Standard Common Repository vs. ClickHouse vs. Datastax Enterprise

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Editorial information provided by DB-Engines
NameAmazon Redshift  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionLarge scale data warehouse service for use with business intelligence toolsHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksColumn-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 DBMSDocument store
Key-value store
Relational DBMSWide column store
Secondary database modelsDocument store
Graph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score23.01
Rank#30  Overall
#17  Relational DBMS
Score6.60
Rank#58  Overall
#32  Relational DBMS
Score8.51
Rank#48  Overall
#4  Wide column stores
Websiteaws.amazon.com/­redshiftatos.net/en/convergence-creators/portfolio/standard-common-repositoryclickhouse.techwww.datastax.com/­products/­datastax-enterprise
Technical documentationdocs.aws.amazon.com/­redshiftclickhouse.tech/­docsdocs.datastax.com
DeveloperAmazon (based on PostgreSQL)Atos Convergence CreatorsYandex LLCDataStax
Initial release2012201620162011
Current release1703v20.3.17.173, August 20206.8, April 2020
License infoCommercial or Open SourcecommercialcommercialOpen 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 languageCJavaC++Java
Server operating systemshostedLinuxFreeBSD
Linux
macOS
Linux
OS X
Data schemeyesSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes
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.noyesnono
Secondary indexesrestrictedyesnoyes
SQL infoSupport of SQLyes infodoes not fully support an SQL-standardnoClose to ANSI SQLSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsJDBC
ODBC
LDAPHTTP REST
JDBC
ODBC
Proprietary protocol
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesAll languages supporting JDBC/ODBCAll languages with LDAP bindingsC# 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
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin Pythonnonono
Triggersnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesconfigurable 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 or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integrityyes infoinformational only, not enforced by the systemnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsnono infoAtomicity and isolation are supported for single operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardLDAP bind authenticationAccess rights for users and rolesAccess rights for users can be defined per object
More information provided by the system vendor
Amazon RedshiftAtos Standard Common RepositoryClickHouseDatastax Enterprise
Specific characteristicsDataStax Enterprise is scale-out data infrastructure for enterprises that need to...
» more
Competitive advantagesSupporting the following application requirements: Zero downtime - Built on Apache...
» more
Typical application scenariosApplications that must be massively and linearly scalable with 100% uptime and able...
» 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 RedshiftAtos Standard Common RepositoryClickHouseDatastax Enterprise
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