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DBMS > Kinetica vs. Netezza vs. ReductStore vs. TempoIQ

System Properties Comparison Kinetica vs. Netezza vs. ReductStore vs. TempoIQ

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Editorial information provided by DB-Engines
NameKinetica  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonReductStore  Xexclude from comparisonTempoIQ infoformerly TempoDB  Xexclude from comparison
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
DescriptionFully vectorized database across both GPUs and CPUsData warehouse and analytics appliance part of IBM PureSystemsDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.Scalable analytics DBMS for sensor data, provided as a service (SaaS)
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitewww.kinetica.comwww.ibm.com/­products/­netezzagithub.com/­reductstore
www.reduct.store
tempoiq.com (offline)
Technical documentationdocs.kinetica.comwww.reduct.store/­docs
DeveloperKineticaIBMReductStore LLCTempoIQ
Initial release2012200020232012
Current release7.1, August 20211.9, March 2024
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBusiness Source License 1.1commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++, Rust
Server operating systemsLinuxLinux infoincluded in applianceDocker
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
HTTP APIHTTP API
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C++
JavaScript (Node.js)
Python
Rust
C#
Java
JavaScript infoNode.js
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyesno
Triggersyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes infoRealtime Alerts
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication
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 configuration
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
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 RAMno
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization conceptsimple authentication-based access control

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More resources
KineticaNetezza infoAlso called PureData System for Analytics by IBMReductStoreTempoIQ infoformerly TempoDB
Recent citations in the news

Kinetica Delivers Real-Time Vector Similarity Search
21 March 2024, insideBIGDATA

Kinetica Elevates RAG with Fast Access to Real-Time Data
26 March 2024, Datanami

Kinetica ramps up RAG for generative AI, empowering enterprises with real-time operational data
18 March 2024, SiliconANGLE News

Kinetica Launches Generative AI Solution for Real-Time Inferencing Powered by NVIDIA AI Enterprise
18 March 2024, GlobeNewswire

Transforming spatiotemporal data analysis with GPUs and generative AI
30 October 2023, InfoWorld

provided by Google 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

Netezza Performance Server
12 August 2020, ibm.com

U.S. Navy Chooses Yellowbrick, Sunsets IBM Netezza
22 March 2023, Business Wire

provided by Google News



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