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DBMS > Netezza vs. Riak KV vs. SiriDB vs. SpaceTime vs. Typesense

System Properties Comparison Netezza vs. Riak KV vs. SiriDB vs. SpaceTime vs. Typesense

Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonRiak KV  Xexclude from comparisonSiriDB  Xexclude from comparisonSpaceTime  Xexclude from comparisonTypesense  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsDistributed, fault tolerant key-value storeOpen Source Time Series DBMSSpaceTime is a spatio-temporal DBMS with a focus on performance.A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelRelational DBMSKey-value store infowith links between data sets and object tags for the creation of secondary indexesTime Series DBMSSpatial DBMSSearch engine
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score4.10
Rank#82  Overall
#9  Key-value stores
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.00
Rank#383  Overall
#7  Spatial DBMS
Score0.79
Rank#210  Overall
#14  Search engines
Websitewww.ibm.com/­products/­netezzasiridb.comwww.mireo.com/­spacetimetypesense.org
Technical documentationwww.tiot.jp/­riak-docs/­riak/­kv/­latestdocs.siridb.comtypesense.org/­docs
DeveloperIBMOpenSource, formerly Basho TechnologiesCesbitMireo
Initial release20002009201720202015
Current release3.2.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2, commercial enterprise editionOpen Source infoMIT LicensecommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangCC++C++
Server operating systemsLinux infoincluded in applianceLinux
OS X
LinuxLinuxLinux
Data schemeyesschema-freeyesyesschema-free infopre-defined schema optional
Typing infopredefined data types such as float or dateyesnoyes infoNumeric datayesyes
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 indexesyesrestrictedyesnoyes
SQL infoSupport of SQLyesnonoA subset of ANSI SQL is implementedno
APIs and other access methodsJDBC
ODBC
OLE DB
HTTP API
Native Erlang Interface
HTTP APIRESTful HTTP APIRESTful HTTP API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
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
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C#
C++
Python
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyesErlangnonono
Triggersnoyes infopre-commit hooks and post-commit hooksnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infono "single point of failure"ShardingFixed-grid hypercubes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationselectable replication factoryesReal-time block device replication (DRBD)Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infolinks between data sets can be storednonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlUsers with fine-grained authorization conceptyes, using Riak Securitysimple rights management via user accountsyes

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More resources
Netezza infoAlso called PureData System for Analytics by IBMRiak KVSiriDBSpaceTimeTypesense
Recent citations in the news

IBM announces availability of the high-performance, cloud-native Netezza Performance Server as a Service on AWS
11 July 2023, ibm.com

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

Migrating your Netezza data warehouse to Amazon Redshift | Amazon Web Services
27 May 2020, AWS Blog

IBM Brings Back a Netezza, Attacks Yellowbrick
29 June 2020, Datanami

Netezza Performance Server
12 August 2020, ibm.com

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13 January 2015, Data Center Knowledge

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12 September 2017, ComputerWeekly.com

Riak Taps Mesos for 'Push Button' NoSQL Scalability
20 August 2015, Datanami

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