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DBMS > Apache Doris vs. Apache Druid vs. ClickHouse

System Properties Comparison Apache Doris vs. Apache Druid vs. ClickHouse

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonApache Druid  Xexclude from comparisonClickHouse  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA 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.
Primary database modelRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#244  Overall
#115  Relational DBMS
Score3.05
Rank#84  Overall
#45  Relational DBMS
#7  Time Series DBMS
Score18.73
Rank#31  Overall
#19  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
druid.apache.orgclickhouse.com
Technical documentationgithub.com/­apache/­doris/­wikidruid.apache.org/­docs/­latest/­designclickhouse.com/­docs
DeveloperApache Software Foundation, originally contributed from BaiduApache Software Foundation and contributorsClickhouse Inc.
Initial release201720122016
Current release1.2.2, February 202330.0.0, June 2024v24.6.2.17-stable, July 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache license v2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsLinuxLinux
OS X
Unix
FreeBSD
Linux
macOS
Data schemeyesyes infoschema-less columns are supportedyes
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 indexesyesyesyes
SQL infoSupport of SQLyesSQL for queryingClose to ANSI SQL (SQL/JSON + extensions)
APIs and other access methodsJDBC
MySQL client
JDBC
RESTful HTTP/JSON API
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
Supported programming languagesJavaClojure
JavaScript
PHP
Python
R
Ruby
Scala
C# 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
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding infomanual/auto, time-basedkey based and custom
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
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.nonoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess 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.

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More resources
Apache DorisApache DruidClickHouse
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