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DBMS > ClickHouse vs. QuestDB vs. Riak TS vs. Spark SQL

System Properties Comparison ClickHouse vs. QuestDB vs. Riak TS vs. Spark SQL

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonQuestDB  Xexclude from comparisonRiak TS  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA high performance open source SQL database for time series dataRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.32
Rank#46  Overall
#30  Relational DBMS
Score1.19
Rank#161  Overall
#12  Time Series DBMS
Score0.25
Rank#281  Overall
#24  Time Series DBMS
Score22.86
Rank#35  Overall
#21  Relational DBMS
Websiteclickhouse.techquestdb.ioriak.com/­products/­riak-tsspark.apache.org/­sql
Technical documentationclickhouse.tech/­docsquestdb.io/­docs/­introductionspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperClickhouse Inc.QuestDB LimitedBasho TechnologiesApache Software Foundation
Initial release2016201420152014
Current releasev22.4.5.9-stable, May 20223.2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaErlangScala
Server operating systemsFreeBSD
Linux
macOS
Linux
macOS
Windows
Linux
OS X
Linux
OS X
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononono
Secondary indexesnonorestrictedno
SQL infoSupport of SQLClose to ANSI SQLSQL-like query languagenoSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
HTTP API
Native Erlang Interface
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
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoJavaScript and Erlangno
Triggersnonoyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)Shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable consistency for N replicasselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infolinks between datasets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infothrough memory mapped filesno
User concepts infoAccess controlAccess rights for users and rolesnono
More information provided by the system vendor
ClickHouseQuestDBRiak TSSpark SQL
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Licensing and pricing modelsApache 2.0.
» more
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More resources
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