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DBMS > Databend vs. Greenplum vs. Kinetica vs. Kingbase

System Properties Comparison Databend vs. Greenplum vs. Kinetica vs. Kingbase

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGreenplum  Xexclude from comparisonKinetica  Xexclude from comparisonKingbase  Xexclude from comparison
DescriptionAn 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.Fully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Spatial DBMS
Time Series DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.28
Rank#287  Overall
#131  Relational DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.44
Rank#258  Overall
#117  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
greenplum.orgwww.kinetica.comwww.kingbase.com.cn
Technical documentationdocs.databend.comdocs.greenplum.orgdocs.kinetica.com
DeveloperDatabend LabsPivotal Software Inc.KineticaBeiJing KINGBASE Information technologies inc.
Initial release2021200520121999
Current release1.0.59, April 20237.0.0, September 20237.1, August 2021V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache 2.0commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageRustC, C++C and Java
Server operating systemshosted
Linux
macOS
LinuxLinuxLinux
Windows
Data schemeyesyesyesyes
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.noyes infosince Version 4.2noyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLyesyesSQL-like DML and DDL statementsStandard with numerous extensions
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
Supported programming languagesGo
Java
JavaScript (Node.js)
Python
Rust
C
Java
Perl
Python
R
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnoyesuser defined functionsuser defined functions
Triggersnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
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.noyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesfine grained access rights according to SQL-standardAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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More resources
DatabendGreenplumKineticaKingbase
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