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DBMS > Geode vs. KeyDB vs. Kinetica vs. SpaceTime vs. Tkrzw

System Properties Comparison Geode vs. KeyDB vs. Kinetica vs. SpaceTime vs. Tkrzw

Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonKeyDB  Xexclude from comparisonKinetica  Xexclude from comparisonSpaceTime  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsFully vectorized database across both GPUs and CPUsSpaceTime is a spatio-temporal DBMS with a focus on performance.A concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelKey-value storeKey-value storeRelational DBMSSpatial DBMSKey-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.03
Rank#392  Overall
#8  Spatial DBMS
Score0.07
Rank#372  Overall
#57  Key-value stores
Websitegeode.apache.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.kinetica.comwww.mireo.com/­spacetimedbmx.net/­tkrzw
Technical documentationgeode.apache.org/­docsdocs.keydb.devdocs.kinetica.com
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.EQ Alpha Technology Ltd.KineticaMireoMikio Hirabayashi
Initial release20022019201220202020
Current release1.1, February 20177.1, August 20210.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoBSD-3commercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C, C++C++C++
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredLinuxLinuxLinuxLinux
macOS
Data schemeschema-freeschema-freeyesyesschema-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 indexesyesyesno
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.nonononono
Secondary indexesnoyes infoby using the Redis Search moduleyesno
SQL infoSupport of SQLSQL-like query language (OQL)noSQL-like DML and DDL statementsA subset of ANSI SQL is implementedno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
RESTful HTTP API
RESTful HTTP API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
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++
Java
JavaScript (Node.js)
Python
C#
C++
Python
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsLuauser defined functionsnono
Triggersyes infoCache Event Listenersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingFixed-grid hypercubesnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication
Source-replica replication
Source-replica replicationReal-time block device replication (DRBD)none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeOptimistic locking, atomic execution of commands blocks and scriptsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infoGPU vRAM or System RAMnoyes infousing specific database classes
User concepts infoAccess controlAccess rights per client and object definablesimple password-based access control and ACLAccess rights for users and roles on table levelyesno

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More resources
GeodeKeyDBKineticaSpaceTimeTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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