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

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

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Editorial information provided by DB-Engines
NameAtos 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.
DescriptionHighly 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 modelDocument store
Key-value store
Relational DBMSWide column store
Secondary database modelsTime Series DBMSDocument store
Graph DBMS
Spatial DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.88
Rank#44  Overall
#28  Relational DBMS
Score8.68
Rank#54  Overall
#4  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryclickhouse.techwww.datastax.com/­products/­datastax-enterprise
Technical documentationclickhouse.tech/­docsdocs.datastax.com
DeveloperAtos Convergence CreatorsClickhouse Inc.DataStax
Initial release201620162011
Current release1703v22.8.5.29-lts, September 20226.8, April 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Datastax Astra DB: Astra DB simplifies cloud-native Cassandra application development for your apps, microservices and functions. Deploy in minutes on AWS, Google Cloud, Azure, and have it managed for you by the experts, with serverless, pay-as-you-go pricing.
Implementation languageJavaC++Java
Server operating systemsLinuxFreeBSD
Linux
macOS
Linux
OS X
Data schemeSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateoptionalyesyes
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 indexesyesyes, when using the MergeTree engineyes
SQL infoSupport of SQLnoClose to ANSI SQLSQL-like DML and DDL statements (CQL); Spark SQL
APIs and other access methodsLDAPHTTP REST
JDBC
ODBC
Proprietary protocol
Proprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
Supported programming languagesAll 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 proceduresnonono
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesyesconfigurable replication factor, datacenter aware, advanced replication for edge computing
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnono infoAtomicity and isolation are supported for single operations
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
User concepts infoAccess controlLDAP bind authenticationAccess rights for users and rolesAccess rights for users can be defined per object
More information provided by the system vendor
Atos 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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Atos Standard Common RepositoryClickHouseDatastax Enterprise
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