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DBMS > ClickHouse vs. HEAVY.AI vs. QuestDB vs. TimescaleDB

System Properties Comparison ClickHouse vs. HEAVY.AI vs. QuestDB vs. TimescaleDB

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonQuestDB  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionColumn-oriented Relational DBMS powering YandexA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA high performance open source SQL database for time series dataA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsTime Series DBMSSpatial DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.67
Rank#44  Overall
#28  Relational DBMS
Score2.26
Rank#126  Overall
#62  Relational DBMS
Score1.74
Rank#147  Overall
#13  Time Series DBMS
Score4.76
Rank#82  Overall
#5  Time Series DBMS
Websiteclickhouse.techgithub.com/­heavyai/­heavydb
www.heavy.ai
questdb.iowww.timescale.com
Technical documentationclickhouse.tech/­docsdocs.heavy.aiquestdb.io/­docs/­introductiondocs.timescale.com
DeveloperClickhouse Inc.HEAVY.AI, Inc.QuestDB LimitedTimescale
Initial release2016201620142017
Current releasev22.8.5.29-lts, September 20225.10, January 20222.6.0, February 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availableOpen Source infoApache 2.0Open 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++C++ and CUDAJavaC
Server operating systemsFreeBSD
Linux
macOS
LinuxLinux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyes infoschema-free via InfluxDB Line Protocolyes
Typing infopredefined data types such as float or dateyesyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nononoyes
Secondary indexesyes, when using the MergeTree enginenonoyes
SQL infoSupport of SQLClose to ANSI SQLyesSQL-like query languageyes infofull PostgreSQL SQL syntax
APIs and other access methodsHTTP REST
JDBC
ODBC
Proprietary protocol
JDBC
ODBC
Thrift
Vega
HTTP REST
InfluxDB Line Protocol (TCP/UDP)
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
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
All languages supporting JDBC/ODBC/Thrift
Python
C infoPostgreSQL driver
C++
Go
Java
JavaScript (Node.js)
Python
Rust infoover HTTP
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnononouser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinhorizontal partitioning (by timestamps)yes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationConfigurable consistency for N replicasSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID for single-table writesACID
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.yesyesyes infothrough memory mapped filesno
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
ClickHouseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022QuestDBTimescaleDB
Specific characteristicsRelational model with native time series support Column based storage and time partitioned...
» more
Timescale is the creator of TimescaleDB , the first open-source relational database...
» more
Competitive advantagesReal-time data ingestion and istant SQL queries for time series High performance...
» more
TimescaleDB is purpose-built to scale and handle time-series data workloads and is...
» more
Typical application scenariosApplication metrics Financial market data and algo trading DevOps monitoring Real-time...
» more
Time-series Analytics TimescaleDB boosts the performance of PostgreSQL for time-series...
» more
Key customersTransferWise, Maersk, Walmart, Comcast, LaunchDarkly, IBM, NOV, Cisco, Nutanix, Warner...
» more
Market metricsWith over 12,700 GitHub stars and growing, 1,000,000 active databases, and an active...
» more
Licensing and pricing modelsApache 2.0.
» more
TimescaleDB is available as a self-hosted product under two licenses, the Timescale...
» more
News

Listen to Your CPU - Full-table Scans Are Fast
30 November 2022

QuestDB 6.6.1 - Dynamic Commits
25 November 2022

SQL Extensions for Time Series Data in QuestDB - Part II
23 November 2022

QuestDB 6.5.5 Release
14 November 2022

QuestDB at Devoxx Belgium 2022
8 November 2022

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ClickHouseHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022QuestDBTimescaleDB
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