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DBMS > ClickHouse vs. Google Search Appliance vs. PouchDB

System Properties Comparison ClickHouse vs. Google Search Appliance vs. PouchDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexThe Google Search Appliance consists of hardware and software for indexing documents in local networks.JavaScript DBMS with an API inspired by CouchDB
Primary database modelRelational DBMSSearch engineDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#82  Overall
#41  Relational DBMS
Score2.77
Rank#94  Overall
#10  Search engines
Score2.93
Rank#89  Overall
#16  Document stores
Websiteclickhouse.yandexenterprise.google.com/­search/­products/­gsa.htmlpouchdb.com
Technical documentationclickhouse.yandex/­docssupport.google.com/­gsapouchdb.com/­guides
DeveloperYandex LLCGoogleApache Software Foundation
Initial release201620022012
Current releasev19.13.3.26, August 20197.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source
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.
Implementation languageJavaScript
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-free
Typing infopredefined data types such as float or dateno
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 indexesyes infovia views
SQL infoSupport of SQLnono
APIs and other access methodsAdministrative API
Browser interface
HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languagesJavaScript
Server-side scripts infoStored proceduresView functions in JavaScript
Triggersyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationMaster-master replication infoalso with CouchDB databases
Master-slave replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano
Concurrency infoSupport for concurrent manipulation of datayes
Durability infoSupport for making data persistentyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUser authentication via various security protocolsno

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More resources
ClickHouseGoogle Search AppliancePouchDB
DB-Engines blog posts

New kids on the block: database management systems implemented in JavaScript
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