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DBMS > ClickHouse vs. Google Search Appliance vs. Microsoft Azure SQL Data Warehouse

System Properties Comparison ClickHouse vs. Google Search Appliance vs. Microsoft Azure SQL Data Warehouse

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonGoogle Search Appliance  Xexclude from comparisonMicrosoft Azure SQL Data Warehouse  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexThe Google Search Appliance consists of hardware and software for indexing documents in local networks.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelRelational DBMSSearch engineRelational DBMS
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
Score9.43
Rank#42  Overall
#26  Relational DBMS
Websiteclickhouse.yandexenterprise.google.com/­search/­products/­gsa.htmlazure.microsoft.com/­services/­sql-data-warehouse
Technical documentationclickhouse.yandex/­docssupport.google.com/­gsadocs.microsoft.com/­azure/­sql-data-warehouse
DeveloperYandex LLCGoogleMicrosoft
Initial release201620022016
Current releasev19.13.3.26, August 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
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 indexesyes
SQL infoSupport of SQLnoyes
APIs and other access methodsAdministrative API
Browser interface
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Java
PHP
Server-side scripts infoStored proceduresTransact SQL
Triggersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID
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.no
User concepts infoAccess controlUser authentication via various security protocolsyes

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More resources
ClickHouseGoogle Search ApplianceMicrosoft Azure SQL Data Warehouse
DB-Engines blog posts

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

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