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DBMS > Apache Doris vs. Databend vs. Greenplum

System Properties Comparison Apache Doris vs. Databend vs. Greenplum

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Editorial information provided by DB-Engines
NameApache Doris  Xexclude from comparisonDatabend  Xexclude from comparisonGreenplum  Xexclude from comparison
DescriptionAn MPP-based analytics DBMS embracing the MySQL protocolAn open-source, elastic, and workload-aware cloud data warehouse designed to meet businesses' massive-scale analytics needs at low cost and with low complexityAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.57
Rank#244  Overall
#113  Relational DBMS
Score0.30
Rank#287  Overall
#130  Relational DBMS
Score8.37
Rank#48  Overall
#30  Relational DBMS
Websitedoris.apache.org
github.com/­apache/­doris
github.com/­datafuselabs/­databend
www.databend.com
greenplum.org
Technical documentationgithub.com/­apache/­doris/­wikidocs.databend.comdocs.greenplum.org
DeveloperApache Software Foundation, originally contributed from BaiduDatabend LabsPivotal Software Inc.
Initial release201720212005
Current release1.2.2, February 20231.0.59, April 20237.0.0, September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache 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.
Implementation languageJavaRust
Server operating systemsLinuxhosted
Linux
macOS
Linux
Data schemeyesyesyes
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.nonoyes infosince Version 4.2
Secondary indexesyesnoyes
SQL infoSupport of SQLyesyesyes
APIs and other access methodsJDBC
MySQL client
CLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
Supported programming languagesJavaGo
Java
JavaScript (Node.js)
Python
Rust
C
Java
Perl
Python
R
Server-side scripts infoStored proceduresuser defined functionsnoyes
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID
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.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standard

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More resources
Apache DorisDatabendGreenplum
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