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DBMS > ClickHouse vs. Spark SQL

System Properties Comparison ClickHouse vs. Spark SQL

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Our visitors often compare ClickHouse and Spark SQL with Cassandra, Elasticsearch and MongoDB.

Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.38
Rank#81  Overall
#41  Relational DBMS
Score16.70
Rank#35  Overall
#21  Relational DBMS
Websiteclickhouse.yandexspark.apache.org/­sql
Technical documentationclickhouse.yandex/­docsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperYandex LLCApache Software Foundation
Initial release20162014
Current releasev19.13.3.26, August 2019v2.4.4, September 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0
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 languageScala
Server operating systemsLinux
OS X
Windows
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.no
Secondary indexesno
SQL infoSupport of SQLSQL-like DML and DDL statements
APIs and other access methodsJDBC
ODBC
Supported programming languagesJava
Python
R
Scala
Server-side scripts infoStored proceduresno
Triggersno
Partitioning methods infoMethods for storing different data on different nodesyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnone
Foreign keys infoReferential integrityno
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 persistentyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlno

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More resources
ClickHouseSpark SQL
Recent citations in the news

Time Series Databases, the Future of Monitoring and Logging
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From Russia with OLAP: Percona uses ClickHouse analytics - Open Source Insider
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ClickHouse Experiencing Explosive Growth in EU, US and Asia in Q1 2018
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30 July 2019, HPCwire

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4 November 2019, ZDNet

provided by Google News

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