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DBMS > Kdb vs. openGauss vs. Riak KV vs. YDB

System Properties Comparison Kdb vs. openGauss vs. Riak KV vs. YDB

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonopenGauss  Xexclude from comparisonRiak KV  Xexclude from comparisonYDB  Xexclude from comparison
DescriptionHigh performance Time Series DBMSAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiDistributed, fault tolerant key-value storeA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMS
Vector DBMS
Relational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesDocument store
Relational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Score4.01
Rank#79  Overall
#9  Key-value stores
Score0.33
Rank#287  Overall
#43  Document stores
#132  Relational DBMS
Websitekx.comgitee.com/­opengauss
opengauss.org
github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationcode.kx.comdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
www.tiot.jp/­riak-docs/­riak/­kv/­latestydb.tech/­en/­docs
DeveloperKx Systems, a division of First Derivatives plcHuawei and openGauss communityOpenSource, formerly Basho TechnologiesYandex
Initial release2000 infokdb was released 2000, kdb+ in 2003201920092019
Current release3.6, May 20183.0, March 20223.2.0, December 2022
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen SourceOpen Source infoApache version 2, commercial enterprise editionOpen Source infoApache 2.0; commercial license available
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 languageqC, C++, JavaErlang
Server operating systemsLinux
OS X
Solaris
Windows
LinuxLinux
OS X
Linux
Data schemeyesyesschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyesyesnoyes
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.yesnonono
Secondary indexesyes infotable attribute 'grouped'yesrestrictedyes
SQL infoSupport of SQLSQL-like query language (q)ANSI SQL 2011noSQL-like query language (YQL)
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
HTTP API
Native Erlang Interface
RESTful HTTP API (DynamoDB compatible)
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C++
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresuser defined functionsyesErlangno
Triggersyes infowith viewsyesyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioninghorizontal partitioning (by range, list and hash)Sharding infono "single point of failure"Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replicationselectable replication factorActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
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.yesnono
User concepts infoAccess controlrights management via user accountsAccess rights for users, groups and roles according to SQL-standardyes, using Riak SecurityAccess rights defined for Yandex Cloud users
More information provided by the system vendor
KdbopenGaussRiak KVYDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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KdbopenGaussRiak KVYDB
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