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DBMS > Databend vs. Geode vs. Kinetica vs. Kingbase

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

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Editorial information provided by DB-Engines
NameDatabend  Xexclude from comparisonGeode  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 complexityGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesFully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.
Primary database modelRelational DBMSKey-value storeRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score1.51
Rank#147  Overall
#25  Key-value stores
Score0.42
Rank#261  Overall
#120  Relational DBMS
Score0.44
Rank#258  Overall
#117  Relational DBMS
Websitegithub.com/­datafuselabs/­databend
www.databend.com
geode.apache.orgwww.kinetica.comwww.kingbase.com.cn
Technical documentationdocs.databend.comgeode.apache.org/­docsdocs.kinetica.com
DeveloperDatabend LabsOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.KineticaBeiJing KINGBASE Information technologies inc.
Initial release2021200220121999
Current release1.0.59, April 20231.1, February 20177.1, August 2021V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageRustJavaC, C++C and Java
Server operating systemshosted
Linux
macOS
All OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinux
Windows
Data schemeyesschema-freeyesyes
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.nononoyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesSQL-like query language (OQL)SQL-like DML and DDL statementsStandard with numerous extensions
APIs and other access methodsCLI Client
JDBC
RESTful HTTP API
Java Client API
Memcached protocol
RESTful HTTP API
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
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsuser defined functionsuser defined functions
Triggersnoyes infoCache Event Listenersyes 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 nodesnoneMulti-source replicationSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyes, on a single nodenoACID
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.yesyes infoGPU vRAM or System RAM
User concepts infoAccess controlUsers with fine-grained authorization concept, user rolesAccess rights per client and object definableAccess rights for users and roles on table levelfine grained access rights according to SQL-standard

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DatabendGeodeKineticaKingbase
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