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DBMS > GreptimeDB vs. Kinetica vs. Kingbase vs. Netezza

System Properties Comparison GreptimeDB vs. Kinetica vs. Kingbase vs. Netezza

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Editorial information provided by DB-Engines
NameGreptimeDB  Xexclude from comparisonKinetica  Xexclude from comparisonKingbase  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
DescriptionAn open source Time Series DBMS built for increased scalability, high performance and efficiencyFully vectorized database across both GPUs and CPUsAn enterprise-class RDBMS compatible with PostgreSQL and Oracle and widely used in China.Data warehouse and analytics appliance part of IBM PureSystems
Primary database modelTime Series DBMSRelational DBMSRelational 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
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.50
Rank#257  Overall
#119  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitegreptime.comwww.kinetica.comwww.kingbase.com.cnwww.ibm.com/­products/­netezza
Technical documentationdocs.greptime.comdocs.kinetica.com
DeveloperGreptime Inc.KineticaBeiJing KINGBASE Information technologies inc.IBM
Initial release2022201219992000
Current release7.1, August 2021V8.0, August 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
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 systemsAndroid
Docker
FreeBSD
Linux
macOS
Windows
LinuxLinux
Windows
Linux infoincluded in appliance
Data schemeschema-free, schema definition possibleyesyesyes
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
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesSQL-like DML and DDL statementsStandard with numerous extensionsyes
APIs and other access methodsgRPC
HTTP API
JDBC
JDBC
ODBC
RESTful HTTP API
ADO.NET
gokb
JDBC
kdbndp
ODBC
PDI
PDO
Pro*C
psycopg2
QT
JDBC
ODBC
OLE DB
Supported programming languagesC++
Erlang
Go
Java
JavaScript
C++
Java
JavaScript (Node.js)
Python
.Net
C
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresPythonuser defined functionsuser defined functionsyes
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning (by range, list and hash) and vertical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
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.yes infoGPU vRAM or System RAM
User concepts infoAccess controlSimple rights management via user accountsAccess rights for users and roles on table levelfine grained access rights according to SQL-standardUsers with fine-grained authorization concept
More information provided by the system vendor
GreptimeDBKineticaKingbaseNetezza infoAlso called PureData System for Analytics by IBM
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...
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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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GreptimeDBKineticaKingbaseNetezza infoAlso called PureData System for Analytics by IBM
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