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DBMS > ClickHouse vs. Google Search Appliance vs. Kinetica vs. Percona Server for MongoDB

System Properties Comparison ClickHouse vs. Google Search Appliance vs. Kinetica vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonKinetica  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexThe Google Search Appliance consists of hardware and software for indexing documents in local networks.GPU-accelerated database for real-time analysis of large and streaming datasetsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelRelational DBMSSearch engineRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.70
Rank#78  Overall
#41  Relational DBMS
Score2.81
Rank#91  Overall
#10  Search engines
Score0.57
Rank#198  Overall
#96  Relational DBMS
Score0.52
Rank#205  Overall
#30  Document stores
Websiteclickhouse.yandexenterprise.google.com/­search/­products/­gsa.htmlwww.kinetica.comwww.percona.com/­software/­mongo-database/­percona-server-for-mongodb
Technical documentationclickhouse.yandex/­docssupport.google.com/­gsawww.kinetica.com/­docswww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperYandex LLCGoogleKineticaPercona
Initial release2016200220122015
Current releasev19.13.3.26, August 20196.03.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoGPL Version 2
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 languageC, C++C++
Server operating systemsLinuxLinux
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nonono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresuser defined functionsJavaScript
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.noyes infoGPU vRAM or System RAMyes infovia In-Memory Engine
User concepts infoAccess controlUser authentication via various security protocolsAccess rights for users and roles on table levelAccess rights for users and roles

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More resources
ClickHouseGoogle Search ApplianceKineticaPercona Server for MongoDB
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