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DBMS > ClickHouse vs. Google BigQuery vs. Google Search Appliance

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

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle BigQuery  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexLarge scale data warehouse service with append-only tablesThe Google Search Appliance consists of hardware and software for indexing documents in local networks.
Primary database modelRelational DBMSRelational DBMSSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.33
Rank#82  Overall
#41  Relational DBMS
Score25.44
Rank#27  Overall
#16  Relational DBMS
Score2.77
Rank#94  Overall
#10  Search engines
Websiteclickhouse.yandexcloud.google.com/­bigqueryenterprise.google.com/­search/­products/­gsa.html
Technical documentationclickhouse.yandex/­docscloud.google.com/­bigquery/­docssupport.google.com/­gsa
DeveloperYandex LLCGoogleGoogle
Initial release201620102002
Current releasev19.13.3.26, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Server operating systemshosted
Data schemeyes
Typing infopredefined data types such as float or dateyes
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 indexesno
SQL infoSupport of SQLyesno
APIs and other access methodsRESTful HTTP/JSON APIAdministrative API
Browser interface
HTTP API
Supported programming languages.Net
Java
JavaScript
Objective-C
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functions infoin JavaScript
Triggersno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoSince BigQuery is designed for querying data
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlAccess privileges (owner, writer, reader) for whole datasets, not for individual tables infoGoogle Cloud Identity & Access Management (IAM)User authentication via various security protocols

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More resources
ClickHouseGoogle BigQueryGoogle Search Appliance
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