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DBMS > Apache Doris vs. ClickHouse vs. PostgreSQL vs. RDFox

System Properties Comparison Apache Doris vs. ClickHouse vs. PostgreSQL vs. RDFox

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonClickHouse  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolA 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.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Graph DBMS
RDF store
Secondary database modelsTime Series DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.69
Rank#237  Overall
#108  Relational DBMS
Score16.20
Rank#37  Overall
#23  Relational DBMS
Score645.05
Rank#4  Overall
#4  Relational DBMS
Score0.24
Rank#309  Overall
#25  Graph DBMS
#14  RDF stores
Websitedoris.apache.org
github.com/­apache/­doris
clickhouse.comwww.postgresql.orgwww.oxfordsemantic.tech
Technical documentationgithub.com/­apache/­doris/­wikiclickhouse.com/­docswww.postgresql.org/­docsdocs.oxfordsemantic.tech
DeveloperApache Software Foundation, originally contributed from BaiduClickhouse Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developerOxford Semantic Technologies
Initial release201720161989 info1989: Postgres, 1996: PostgreSQL2017
Current release1.2.2, February 2023v24.3.2.23-lts, April 202416.2, February 20246.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++CC++
Server operating systemsLinuxFreeBSD
Linux
macOS
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
macOS
Windows
Data schemeyesyesyesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLyesClose to ANSI SQL (SQL/JSON + extensions)yes infostandard with numerous extensionsno
APIs and other access methodsJDBC
MySQL client
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietary protocol
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
SPARQL 1.1
Supported programming languagesJavaC# 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
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
Java
Server-side scripts infoStored proceduresuser defined functionsyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningkey based and custompartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.Source-replica replication infoother methods possible by using 3rd party extensionsreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesnoyes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess 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.fine grained access rights according to SQL-standardRoles, resources, and access types

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Apache DorisClickHousePostgreSQLRDFox
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