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DBMS > Hyprcubd vs. Netezza vs. NSDb

System Properties Comparison Hyprcubd vs. Netezza vs. NSDb

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Editorial information provided by DB-Engines
NameHyprcubd  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonNSDb  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionServerless Time Series DBMSData warehouse and analytics appliance part of IBM PureSystemsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelTime Series DBMSRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitehyprcubd.com (offline)www.ibm.com/­products/­netezzansdb.io
Technical documentationnsdb.io/­Architecture
DeveloperHyprcubd, Inc.IBM
Initial release20002017
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoJava, Scala
Server operating systemshostedLinux infoincluded in applianceLinux
macOS
Data schemeyesyes
Typing infopredefined data types such as float or dateyes infotime, int, uint, float, stringyesyes: int, bigint, decimal, string
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 indexesnoyesall fields are automatically indexed
SQL infoSupport of SQLSQL-like query languageyesSQL-like query language
APIs and other access methodsgRPC (https)JDBC
ODBC
OLE DB
gRPC
HTTP REST
WebSocket
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
Java
Scala
Server-side scripts infoStored proceduresnoyesno
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datanoyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Lucene
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controltoken accessUsers with fine-grained authorization concept

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More resources
HyprcubdNetezza infoAlso called PureData System for Analytics by IBMNSDb
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

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

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

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

provided by Google News



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