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DBMS > Netezza vs. Oracle vs. SAP HANA

System Properties Comparison Netezza vs. Oracle vs. SAP HANA

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonOracle  Xexclude from comparisonSAP HANA  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsWidely used RDBMSIn-memory, column based data store. Available as appliance or cloud service
Primary database modelRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument 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
Document store
Graph DBMS infowith SAP Hana, Enterprise Edition
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.15
Rank#46  Overall
#30  Relational DBMS
Score1240.37
Rank#1  Overall
#1  Relational DBMS
Score44.12
Rank#23  Overall
#16  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.oracle.com/­databasewww.sap.com/­products/­hana.html
Technical documentationdocs.oracle.com/­en/­databasehelp.sap.com/­hana
DeveloperIBMOracleSAP
Initial release200019802010
Current release23c, September 20232.0 SPS07 (AprilĀ 4, 2023), April 2023
License infoCommercial or Open Sourcecommercialcommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud servicenonono infoalso available as a cloud based service
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++
Server operating systemsLinux infoincluded in applianceAIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS
Appliance or cloud-service
Data schemeyesyes infoSchemaless in JSON and XML columnsyes
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.yesno
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infowith proprietary extensionsyes
APIs and other access methodsJDBC
ODBC
OLE DB
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
JDBC
ODBC
Supported programming languagesC
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 proceduresyesPL/SQL infoalso stored procedures in Java possibleSQLScript, R
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding, horizontal partitioningyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno infocan be realized in PL/SQLno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoisolation level can be parameterizedACID
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 infoVersion 12c introduced the new option 'Oracle Database In-Memory'yes
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardyes

More information provided by the system vendor

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
Netezza infoAlso called PureData System for Analytics by IBMOracleSAP HANA
DB-Engines blog posts

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

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25 November 2016, Tony Branson (guest author)

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Conferences, events and webinars

Oracle Cloud World
Las Vegas, 9-12 September 2024

Recent citations in the news

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

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

Roundup: IBM, Arista, AboveNet
31 May 2024, Data Center Knowledge

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

IBM Completes Acquisition of Netezza
26 October 2017, PR Newswire

provided by Google News

Oracle Database 23ai now available for Exadata
22 July 2024, Oracle

Implement Semantic Search in Oracle APEX using AI Vector Search of Oracle Database 23ai
10 July 2024, Oracle

Database Rivals on High Alert: Oracle's New Exascale Service Could Change the Game
20 July 2024, The Motley Fool

Introducing Oracle Exadata Database Service on Exascale Infrastructure
9 July 2024, Oracle

Announcing Oracle Database 23ai : General Availability
2 May 2024, Oracle

provided by Google News

Combine the Power of AI with Business Context Using SAP HANA Cloud Vector Engine
2 April 2024, SAP News

SAP AI Core Vulnerabilities Expose Customer Data to Cyber Attacks
18 July 2024, The Hacker News

Automating application-consistent Amazon EBS Snapshots for SAP HANA databases
6 February 2024, AWS Blog

The best way to modernize your close & consolidation process in an SAP S/4 HANA environment
9 April 2024, Wolters Kluwer

SAP HANA Cloud Vector Engine
18 April 2024, IgniteSAP

provided by Google News



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