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DBMS > ClickHouse vs. StarRocks vs. Warp 10

System Properties Comparison ClickHouse vs. StarRocks vs. Warp 10

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Editorial information provided by DB-Engines
NameClickHouse  Xexclude from comparisonStarRocks  Xexclude from comparisonWarp 10  Xexclude from comparison
DescriptionA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.An open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache DorisTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score16.50
Rank#35  Overall
#21  Relational DBMS
Score0.87
Rank#199  Overall
#94  Relational DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Websiteclickhouse.comwww.starrocks.iowww.warp10.io
Technical documentationclickhouse.com/­docsdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_introwww.warp10.io/­content/­02_Getting_started
DeveloperClickhouse Inc.The Linux Foundation infosince Feb 2023SenX
Initial release201620202015
Current releasev24.6.2.17-stable, July 20243.3, June 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2.0Open Source infoApache License 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.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
Implementation languageC++C++, JavaJava
Server operating systemsFreeBSD
Linux
macOS
LinuxLinux
OS X
Windows
Data schemeyesyesschema-free
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 indexesyesyesno
SQL infoSupport of SQLClose to ANSI SQL (SQL/JSON + extensions)yesno
APIs and other access methodsgRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
JDBC
MySQL protocol
HTTP API
Jupyter
WebSocket
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
Rust
Scala info3rd party library
Java
Server-side scripts infoStored proceduresyesuser defined functionsyes infoWarpScript
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeskey based and customhorizontal partitioning (by range and hash)Sharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
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.yesnoyes
User concepts infoAccess controlAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Role based access control and fine grained access rightsMandatory use of cryptographic tokens, containing fine-grained authorizations

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Related products and services
3rd partiesDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ClickHouseStarRocksWarp 10
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