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DBMS > Netezza vs. Quasardb vs. Riak KV vs. Yaacomo

System Properties Comparison Netezza vs. Quasardb vs. Riak KV vs. Yaacomo

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQuasardb  Xexclude from comparisonRiak KV  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionData warehouse and analytics appliance part of IBM PureSystemsDistributed, high-performance timeseries databaseDistributed, fault tolerant key-value storeOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSTime Series DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.13
Rank#332  Overall
#28  Time Series DBMS
Score3.84
Rank#76  Overall
#9  Key-value stores
Websitewww.ibm.com/­products/­netezzaquasar.aiyaacomo.com
Technical documentationdoc.quasar.ai/­masterwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperIBMquasardbOpenSource, formerly Basho TechnologiesQ2WEB GmbH
Initial release2000200920092009
Current release3.14.1, January 20243.2.0, December 2022
License infoCommercial or Open Sourcecommercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache version 2, commercial enterprise editioncommercial
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 languageC++Erlang
Server operating systemsLinux infoincluded in applianceBSD
Linux
OS X
Windows
Linux
OS X
Android
Linux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infointeger and binarynoyes
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.nonono
Secondary indexesyesyes infowith tagsrestrictedyes
SQL infoSupport of SQLyesSQL-like query languagenoyes
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP APIHTTP API
Native Erlang Interface
JDBC
ODBC
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
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 proceduresyesnoErlang
Triggersnonoyes infopre-commit hooks and post-commit hooksyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoconsistent hashingSharding infono "single point of failure"horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication with selectable replication factorselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infolinks between data sets can be storedyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoby using LevelDByesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoTransient modeyes
User concepts infoAccess controlUsers with fine-grained authorization conceptCryptographically strong user authentication and audit trailyes, using Riak Securityfine grained access rights according to SQL-standard

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More resources
Netezza infoAlso called PureData System for Analytics by IBMQuasardbRiak KVYaacomo
Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, ibm.com

How to migrate a large data warehouse from IBM Netezza to Amazon Redshift with no downtime
21 August 2019, AWS Blog

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Copy data from Netezza to Azure with Azure Data Factory
9 September 2019, azure.microsoft.com

IBM Completes Acquisition of Netezza
11 November 2010, PR Newswire

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Basho Revamps Riak Open-Source Database
22 September 2023, InformationWeek

A Critique of Resizable Hash Tables: Riak Core & Random Slicing
26 August 2018, InfoQ.com

Riak NoSQL snapped up by Bet365
12 September 2017, ComputerWeekly.com

Is Riak A Good NoSQL Database Option For Enterprises?
1 July 2019, AIM

Basho aims for enterprise operational simplicity with new Data Platform
26 May 2015, diginomica

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