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

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

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonHive  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.data warehouse software for querying and managing large distributed datasets, built on HadoopA 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
Score84.24
Rank#14  Overall
#9  Relational DBMS
Score0.52
Rank#205  Overall
#30  Document stores
Websiteclickhouse.yandexenterprise.google.com/­search/­products/­gsa.htmlhive.apache.orgwww.percona.com/­software/­mongo-database/­percona-server-for-mongodb
Technical documentationclickhouse.yandex/­docssupport.google.com/­gsacwiki.apache.org/­confluence/­display/­Hive/­Homewww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.html
DeveloperYandex LLCGoogleApache Software Foundation infoinitially developed by FacebookPercona
Initial release2016200220122015
Current releasev19.13.3.26, August 20193.1.2, August 20193.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2Open 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 languageJavaC++
Server operating systemsAll OS with a Java VMLinux
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsAdministrative API
Browser interface
HTTP API
JDBC
ODBC
Thrift
proprietary protocol using JSON
Supported programming languagesC++
Java
PHP
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 proceduresyes infouser defined functions and integration of map-reduceJavaScript
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationselectable replication factorMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReduceyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonono
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 infovia In-Memory Engine
User concepts infoAccess controlUser authentication via various security protocolsAccess rights for users, groups and rolesAccess rights for users and roles

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More resources
ClickHouseGoogle Search ApplianceHivePercona Server for MongoDB
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