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DBMS > HyperSQL vs. KeyDB vs. Kinetica vs. Riak KV

System Properties Comparison HyperSQL vs. KeyDB vs. Kinetica vs. Riak KV

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Editorial information provided by DB-Engines
NameHyperSQL infoalso known as HSQLDB  Xexclude from comparisonKeyDB  Xexclude from comparisonKinetica  Xexclude from comparisonRiak KV  Xexclude from comparison
DescriptionMultithreaded, transactional RDBMS written in Java infoalso known as HSQLDBAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsFully vectorized database across both GPUs and CPUsDistributed, fault tolerant key-value store
Primary database modelRelational DBMSKey-value storeRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexes
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.49
Rank#87  Overall
#47  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Websitehsqldb.orggithub.com/­Snapchat/­KeyDB
keydb.dev
www.kinetica.com
Technical documentationhsqldb.org/­web/­hsqlDocsFrame.htmldocs.keydb.devdocs.kinetica.comwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperEQ Alpha Technology Ltd.KineticaOpenSource, formerly Basho Technologies
Initial release2001201920122009
Current release2.7.2, June 20237.1, August 20213.2.0, December 2022
License infoCommercial or Open SourceOpen Source infobased on BSD licenseOpen Source infoBSD-3commercialOpen Source infoApache version 2, commercial enterprise edition
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++C, C++Erlang
Server operating systemsAll OS with a Java VM infoEmbedded (into Java applications) and Client-Server operating modesLinuxLinuxLinux
OS X
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 indexesyesno
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.nononono
Secondary indexesyesyes infoby using the Redis Search moduleyesrestricted
SQL infoSupport of SQLyesnoSQL-like DML and DDL statementsno
APIs and other access methodsHTTP API infoJDBC via HTTP
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization ProtocoJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
Supported programming languagesAll languages supporting JDBC/ODBC
Java
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 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
Server-side scripts infoStored proceduresJava, SQLLuauser defined functionsErlang
Triggersyesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Source-replica replicationselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesnoyesno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDOptimistic locking, atomic execution of commands blocks and scriptsnono
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.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlfine grained access rights according to SQL-standardsimple password-based access control and ACLAccess rights for users and roles on table levelyes, using Riak Security

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More resources
HyperSQL infoalso known as HSQLDBKeyDBKineticaRiak KV
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