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DBMS > ClickHouse vs. Datastax Enterprise vs. Kdb+ vs. TerarkDB

System Properties Comparison ClickHouse vs. Datastax Enterprise vs. Kdb+ vs. TerarkDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonDatastax Enterprise  Xexclude from comparisonKdb+  Xexclude from comparisonTerarkDB  Xexclude from comparison
DescriptionColumn-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.High performance Time Series DBMSA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelRelational DBMSWide column storeTime Series DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.38
Rank#81  Overall
#41  Relational DBMS
Score8.82
Rank#43  Overall
#4  Wide column stores
Score5.48
Rank#58  Overall
#2  Time Series DBMS
Score0.04
Rank#319  Overall
#53  Key-value stores
Websiteclickhouse.yandexwww.datastax.com/­products/­datastax-enterprisekx.comgithub.com/­Terark/­terarkdb
Technical documentationclickhouse.yandex/­docsdocs.datastax.comcode.kx.comgithub.com/­Terark/­terarkdb/­wiki
DeveloperYandex LLCDataStaxKx Systems, a division of First Derivatives plcTerark
Initial release201620112000 infokdb was released 2000, kdb+ in 20032016
Current releasev19.13.3.26, August 20196.7, December 20183.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree 32-bit versioncommercial inforestricted open source version available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC++
Server operating systemsLinux
OS X
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-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.noyesno
Secondary indexesyesyes infotable attribute 'grouped'no
SQL infoSupport of SQLSQL-like DML and DDL statements (CQL); Spark SQLSQL-like query language (q)no
APIs and other access methodsProprietary protocol infoCQL (Cassandra Query Language)
TinkerPop Gremlin infowith DSE Graph
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
C++ API
Java API
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Java
Server-side scripts infoStored proceduresnouser defined functionsno
Triggersyesyes infowith viewsno
Partitioning methods infoMethods for storing different data on different nodesSharding infono "single point of failure"horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter aware, advanced replication for edge computingMaster-slave replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency infoconsistency level can be individually decided with each write operation
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoAtomicity and isolation are supported for single operationsnono
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 controlAccess rights for users can be defined per objectrights management via user accountsno
More information provided by the system vendor
ClickHouseDatastax EnterpriseKdb+TerarkDB
Specific characteristics100% continuous availability, real-time, distributed, massive scale data management...
» more
Integrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesSupporting the following application requirements: Contextual: complete data layer...
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provides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariosApplications that must serve contextual information and be always-on, distributed,...
» more
tick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersCapital One, Cisco, Comcast, eBay, McDonald’s, Microsoft, Safeway, Sony, UBS, and...
» more
Goldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricsAmong the Forbes 100 Most Innovative Companies, DataStax is trusted by 5 of the top...
» more
kdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsAnnual subscription
» more
upon request
» more

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More resources
ClickHouseDatastax EnterpriseKdb+TerarkDB
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