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DBMS > Heroic vs. Kinetica vs. Netezza vs. Oracle

System Properties Comparison Heroic vs. Kinetica vs. Netezza vs. Oracle

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Editorial information provided by DB-Engines
NameHeroic  Xexclude from comparisonKinetica  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle  Xexclude from comparison
DescriptionTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchFully vectorized database across both GPUs and CPUsData warehouse and analytics appliance part of IBM PureSystemsWidely used RDBMS
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
Document store
Graph DBMS infowith Oracle Spatial and Graph
RDF store infowith Oracle Spatial and Graph
Spatial DBMS infowith Oracle Spatial and Graph
Vector DBMS infosince Oracle 23
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score9.06
Rank#46  Overall
#29  Relational DBMS
Score1236.29
Rank#1  Overall
#1  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.kinetica.comwww.ibm.com/­products/­netezzawww.oracle.com/­database
Technical documentationspotify.github.io/­heroicdocs.kinetica.comdocs.oracle.com/­en/­database
DeveloperSpotifyKineticaIBMOracle
Initial release2014201220001980
Current release7.1, August 202123c, September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercial inforestricted free version is available
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 languageJavaC, C++C and C++
Server operating systemsLinuxLinux infoincluded in applianceAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Data schemeschema-freeyesyesyes infoSchemaless in JSON and XML columns
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyes
Secondary indexesyes infovia Elasticsearchyesyesyes
SQL infoSupport of SQLnoSQL-like DML and DDL statementsyesyes infowith proprietary extensions
APIs and other access methodsHQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesC++
Java
JavaScript (Node.js)
Python
C
C++
Fortran
Java
Lua
Perl
Python
R
C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic
Server-side scripts infoStored proceduresnouser defined functionsyesPL/SQL infoalso stored procedures in Java possible
Triggersnoyes infotriggers when inserted values for one or more columns fall within a specified rangenoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno infocan be realized in PL/SQL
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACID infoisolation level can be parameterized
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMyes infoVersion 12c introduced the new option 'Oracle Database In-Memory'
User concepts infoAccess controlAccess rights for users and roles on table levelUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
HeroicKineticaNetezza infoAlso called PureData System for Analytics by IBMOracle
DB-Engines blog posts

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3 January 2020, Matthias Gelbmann, Paul Andlinger

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Conferences, events and webinars

Oracle Cloud World
Las Vegas, 9-12 September 2024

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