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DBMS > HEAVY.AI vs. Hyprcubd vs. Interbase vs. Kyligence Enterprise vs. Netezza

System Properties Comparison HEAVY.AI vs. Hyprcubd vs. Interbase vs. Kyligence Enterprise vs. Netezza

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHyprcubd  Xexclude from comparisonInterbase  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparison
Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareServerless Time Series DBMSLight-weight proven RDBMS infooriginally from BorlandA distributed analytics engine for big data, built on top of Apache KylinData warehouse and analytics appliance part of IBM PureSystems
Primary database modelRelational DBMSTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score8.59
Rank#45  Overall
#29  Relational DBMS
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
hyprcubd.com (offline)www.embarcadero.com/­products/­interbasekyligence.io/­kyligence-enterprisewww.ibm.com/­products/­netezza
Technical documentationdocs.heavy.aidocs.embarcadero.com/­products/­interbase
DeveloperHEAVY.AI, Inc.Hyprcubd, Inc.EmbarcaderoKyligence, Inc.IBM
Initial release2016198420162000
Current release5.10, January 2022InterBase 2020, December 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++ and CUDAGoCJava
Server operating systemsLinuxhostedAndroid
iOS
Linux
OS X
Windows
LinuxLinux infoincluded in appliance
Data schemeyesyesyesyesyes
Typing infopredefined data types such as float or dateyesyes infotime, int, uint, float, stringyesyesyes
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 infoexport as XML data possibleno
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLyesSQL-like query languageyesANSI SQL for queries (using Apache Calcite)yes
APIs and other access methodsJDBC
ODBC
Thrift
Vega
gRPC (https)ADO.NET
JDBC
ODBC
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
C
C++
Fortran
Java
Lua
Perl
Python
R
Server-side scripts infoStored proceduresnonoyes infoInterbase procedure and trigger languageyes
Triggersnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationInterbase Change ViewsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesnoyes infoMultiversion concurreny controlyesyes
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.yesnoyesno
User concepts infoAccess controlfine grained access rights according to SQL-standardtoken accessfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HyprcubdInterbaseKyligence EnterpriseNetezza infoAlso called PureData System for Analytics by IBM
Recent citations in the news

HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
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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

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