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DBMS > ClickHouse vs. QuestDB vs. Spark SQL

System Properties Comparison ClickHouse vs. QuestDB vs. Spark SQL

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonQuestDB  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA high performance open source SQL database for time series dataSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.05
Rank#44  Overall
#28  Relational DBMS
Score1.11
Rank#165  Overall
#11  Time Series DBMS
Score22.97
Rank#34  Overall
#20  Relational DBMS
Websiteclickhouse.techquestdb.iospark.apache.org/­sql
Technical documentationclickhouse.tech/­docsquestdb.io/­docs/­introductionspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperYandex LLCQuestDB LimitedApache Software Foundation
Initial release201620142014
Current releasev21.10.2.15-stable, October 20213.2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaScala
Server operating systemsFreeBSD
Linux
macOS
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesnonono
SQL infoSupport of SQLClose to ANSI SQLSQL-like query languageSQL-like DML and DDL statements
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
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
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by timestamps)yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesConfigurable consistency for N replicasnone
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 integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID for single-table writesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 rolesno
More information provided by the system vendor
ClickHouseQuestDBSpark 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
News

Why I joined QuestDB as a core database engineer - Miguel Arregui
9 November 2021

How we built inter-thread messaging from scratch
3 November 2021

Demo geospatial and timeseries queries on 250k unique devices
4 October 2021

Join Hacktoberfest 2021 and contribute to QuestDB!
1 October 2021

High frequency finance with Julia and QuestDB
17 September 2021

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
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» more

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More resources
ClickHouseQuestDBSpark SQL
Recent citations in the news

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

Kyligence 4.5 adds Clickhouse to Intelligent Data Cloud
10 August 2021, TechTarget

ClickHouse spins out from Yandex and other NYC tech news - New York Business Journal
27 September 2021, New York Business Journal

ClickHouse hauls in $250M Series B
1 November 2021, PitchBook News & Analysis

provided by Google News

QuestDB snares $12M Series A with hosted version coming soon
3 November 2021, TechCrunch

QuestDB Raises $12M in Series A Funding
8 November 2021, FinSMEs

QuestDB nabs $2.3M seed to build open source time series database
2 July 2020, TechCrunch

Q&A: Nicolas Hourcard, QuestDB: The advantages of a time-series database
3 December 2020, Developer Tech

SOL Crypto News: 8 Things to Know About Alexis Ohanian's $100 Million Web 3.0 Bet
10 November 2021, Investorplace.com

provided by Google News

Compare Hadoop vs. Spark vs. Kafka for your big data strategy
15 November 2021, TechTarget

Spark Gets Closer Hooks to Pandas, SQL with Version 3.2
26 October 2021, Datanami

How Much Do Data Scientists Make?
1 December 2021, iLounge

2015 - Spark Takes the Big Data World by Storm
1 July 2021, Datanami

Microsoft : Accelerate big data analytics with Spark 3.0 connector for SQL Server—now generally available
13 July 2021, marketscreener.com

provided by Google News

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