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

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

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSnowflake  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexThe Google Search Appliance consists of hardware and software for indexing documents in local networks.A drop-in replacement for MongoDB Community Edition with enterprise-grade features.Cloud-based data warehousing service for structured and semi-structured data
Primary database modelRelational DBMSSearch engineDocument storeRelational DBMS
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
Score0.52
Rank#205  Overall
#30  Document stores
Score2.24
Rank#107  Overall
#52  Relational DBMS
Websiteclickhouse.yandexenterprise.google.com/­search/­products/­gsa.htmlwww.percona.com/­software/­mongo-database/­percona-server-for-mongodbwww.snowflake.com
Technical documentationclickhouse.yandex/­docssupport.google.com/­gsawww.percona.com/­doc/­percona-server-for-mongodb/­LATEST/­index.htmldocs.snowflake.net/­manuals/­index.html
DeveloperYandex LLCGooglePerconaSnowflake Computing Inc.
Initial release2016200220152014
Current releasev19.13.3.26, August 20193.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsLinuxhosted
Data schemeschema-freeyes infosupport of semi-structured data formats (JSON, XML, Avro)
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.nonoyes
Secondary indexesyes
SQL infoSupport of SQLnonoyes
APIs and other access methodsAdministrative API
Browser interface
HTTP API
proprietary protocol using JSONCLI Client
JDBC
ODBC
Supported programming languagesActionscript
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
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresJavaScriptuser defined functions
Triggersnono infosimilar concept for controling cloud resources
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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 Engineno
User concepts infoAccess controlUser authentication via various security protocolsAccess rights for users and rolesUsers with fine-grained authorization concept, user roles and pluggable authentication

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More resources
ClickHouseGoogle Search AppliancePercona Server for MongoDBSnowflake
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