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DBMS > Apache Doris vs. GBase vs. GreptimeDB vs. PostgreSQL

System Properties Comparison Apache Doris vs. GBase vs. GreptimeDB vs. PostgreSQL

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonGBase  Xexclude from comparisonGreptimeDB  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.An open source Time Series DBMS built for increased scalability, high performance and efficiencyWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelRelational DBMSRelational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.60
Rank#247  Overall
#113  Relational DBMS
Score1.05
Rank#186  Overall
#86  Relational DBMS
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
www.gbase.cngreptime.comwww.postgresql.org
Technical documentationgithub.com/­apache/­doris/­wikidocs.greptime.comwww.postgresql.org/­docs
DeveloperApache Software Foundation, originally contributed from BaiduGeneral Data Technology Co., Ltd.Greptime Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2017200420221989 info1989: Postgres, 1996: PostgreSQL
Current release1.2.2, February 2023GBase 8a, GBase 8s, GBase 8c16.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2.0Open Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, Java, PythonRustC
Server operating systemsLinuxLinuxAndroid
Docker
FreeBSD
Linux
macOS
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeyesyesschema-free, schema definition possibleyes
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.noyesnoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesStandard with numerous extensionsyesyes infostandard with numerous extensions
APIs and other access methodsJDBC
MySQL client
ADO.NET
C API
JDBC
ODBC
gRPC
HTTP API
JDBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaC#C++
Erlang
Go
Java
JavaScript
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsuser defined functionsPythonuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash) and vertical partitioningShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardyesSimple rights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache DorisGBaseGreptimeDBPostgreSQL
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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More resources
Apache DorisGBaseGreptimeDBPostgreSQL
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