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DBMS > Kinetica vs. Riak KV vs. STSdb

System Properties Comparison Kinetica vs. Riak KV vs. STSdb

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonRiak KV  Xexclude from comparisonSTSdb  Xexclude from comparison
DescriptionGPU-accelerated database for real-time analysis of large and streaming datasetsDistributed, fault tolerant key-value storeKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#193  Overall
#97  Relational DBMS
Score5.34
Rank#67  Overall
#9  Key-value stores
Score0.14
Rank#290  Overall
#45  Key-value stores
Websitewww.kinetica.comriak.com/­products/­riak-kvgithub.com/­STSSoft/­STSdb4
Technical documentationwww.kinetica.com/­docs
DeveloperKineticaBasho TechnologiesSTS Soft SC
Initial release201220092011
Current release6.02.1.0, April 20154.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoGPLv2, commercial license available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ErlangC#
Server operating systemsLinuxLinux
OS X
Windows
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesnoyes infoprimitive types and user defined types (classes)
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.nono
Secondary indexesyesrestrictedno
SQL infoSupport of SQLSQL-like DML and DDL statementsnono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
HTTP API
Native Erlang Interface
.NET Client API
Supported programming languagesC++
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
C#
Java
Server-side scripts infoStored proceduresuser defined functionsJavaScript and Erlangno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infopre-commit hooks and post-commit hooksno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"none
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesno infolinks between data sets can be storedno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
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 controlAccess rights for users and roles on table levelnono

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More resources
KineticaRiak KVSTSdb
Recent citations in the news

Global GPU Database Market Top Players Analysis By 2026: Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anacond etc.a
18 January 2021, NeighborWebSJ

GPU Database Market to reach US $1,484.1 Million by 2028 - Insights on Trends, COVID-19 Impact Analysis, Regulatory Landscape, Growth Opportunities and Future Prospect: Adroit Market Research
28 December 2020, GlobeNewswire

GPU Database Market To Witness Huge Growth By 2027 | Kinetica, Omnisci, Sqream, Neo4j, Nvidia, Brytlyt, Jedox, Blazegraph, Blazingdb, Zilliz, Heterodb, H2o.Ai, Fastdata.Io, Fuzzy Logix, Graphistry, Anaconda
14 January 2021, The Pinstripe Empire

GPU Database Market Emerging Trends, Demand, Business Opportunities and Forecast 2021-2026|Kinetica, OmniSci, SQream, Neo4j, NVIDIA, Brytlyt, Blazegraph, BlazingDB, Zilliz, and Jedox. Moreover, the other prospective players in the GPU database market are HeteroDB, H2O.ai, FASTDATA.io, Fuzzy Logix, and Anaconda
19 January 2021, Jumbo News

GPU Database Market Key Manufacturers, Development Trends and Competitive Analysis 2023
13 January 2021, MENAFN.COM

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5 May 2016, TechCrunch

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