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DBMS > ClickHouse vs. Yaacomo

System Properties Comparison ClickHouse vs. Yaacomo

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.18
Rank#46  Overall
#30  Relational DBMS
Score0.00
Rank#357  Overall
#155  Relational DBMS
Websiteclickhouse.techyaacomo.com
Technical documentationclickhouse.tech/­docs
DeveloperClickhouse Inc.Q2WEB GmbH
Initial release20162009
Current releasev22.6.3.35-stable, July 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++
Server operating systemsFreeBSD
Linux
macOS
Android
Linux
Windows
Data schemeyesyes
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 indexesnoyes
SQL infoSupport of SQLClose to ANSI SQLyes
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Supported programming languagesC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Scala info3rd party library
Server-side scripts infoStored proceduresno
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
ClickHouseYaacomo
Recent citations in the news

StarRocks Brings Speedy OLAP Database to the Cloud
14 July 2022, Datanami

Observability startup Better Stack lands $18.6M in new cash
21 July 2022, TechCrunch

Two Sizes Fit Most: PostgreSQL and ClickHouse – The New Stack
13 April 2022, thenewstack.io

ClickHouse Raises $250M Series B To Scale Groundbreaking OLAP Database Management System Globally
28 October 2021, Business Wire

Speedy Column-Store ClickHouse Spins Out from Yandex, Raises $50M
24 September 2021, Datanami

provided by Google News

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