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DBMS > Kdb vs. KeyDB vs. ObjectBox vs. Yanza

System Properties Comparison Kdb vs. KeyDB vs. ObjectBox vs. Yanza

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Editorial information provided by DB-Engines
NameKdb  Xexclude from comparisonKeyDB  Xexclude from comparisonObjectBox  Xexclude from comparisonYanza  Xexclude from comparison
Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHigh performance Time Series DBMSAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsTime Series DBMS for IoT Applications
Primary database modelTime Series DBMS
Vector DBMS
Key-value storeObject oriented DBMS
Vector DBMS
Time Series DBMS
Secondary database modelsRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.73
Rank#45  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.63
Rank#232  Overall
#32  Key-value stores
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitekx.comgithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­objectbox
objectbox.io
yanza.com
Technical documentationcode.kx.comdocs.keydb.devdocs.objectbox.io
DeveloperKx Systems, a division of First Derivatives plcEQ Alpha Technology Ltd.ObjectBox LimitedYanza
Initial release2000 infokdb was released 2000, kdb+ in 2003201920172015
Current release3.6, May 20184.0 (May 2024)
License infoCommercial or Open Sourcecommercial infofree 32-bit versionOpen Source infoBSD-3Bindings are released under Apache 2.0 infoApache License 2.0commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenononono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageqC++C and C++
Server operating systemsLinux
OS X
Solaris
Windows
LinuxAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes, plus "flex" map-like typesno
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'yes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLSQL-like query language (q)nonono
APIs and other access methodsHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Proprietary protocol infoRESP - REdis Serialization ProtocoProprietary native APIHTTP API
Supported programming languagesC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
any language that supports HTTP calls
Server-side scripts infoStored proceduresuser defined functionsLuanono
Triggersyes infowith viewsnonoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
Data sync between devices allowing occasional connected databases to work completely offlinenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoOptimistic locking, atomic execution of commands blocks and scriptsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlrights management via user accountssimple password-based access control and ACLyesno
More information provided by the system vendor
KdbKeyDBObjectBoxYanza
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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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
KdbKeyDBObjectBoxYanza
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