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DBMS > Netezza vs. PostgreSQL vs. VoltDB

System Properties Comparison Netezza vs. PostgreSQL vs. VoltDB

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Editorial information provided by DB-Engines
NameNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionData warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score19.27
Rank#37  Overall
#22  Relational DBMS
Score606.56
Rank#4  Overall
#4  Relational DBMS
Score1.68
Rank#135  Overall
#66  Relational DBMS
Websitewww.ibm.com/­products/­netezzawww.postgresql.orgwww.voltdb.com
Technical documentationwww.postgresql.org/­docsdocs.voltdb.com
DeveloperIBMPostgreSQL Global Development Group infowww.postgresql.org/­developerVoltDB Inc.
Initial release20001989 info1989: Postgres, 1996: PostgreSQL2010
Current release14.1, November 202110.1, October 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++
Server operating systemsLinux infoincluded in applianceFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
OS X infofor development
Data schemeyesyesyes
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.yes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyes infostandard with numerous extensionsyes infoonly a subset of SQL 99
APIs and other access methodsJDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesC
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.Java
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynoyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardUsers and roles with access to stored procedures

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

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

Driving the Future of PostgreSQL Adoption
15 November 2021,  Umair Shahid, Percona (sponsor) 

The Inexorable Rise of PostgreSQL
24 September 2021,  Matt Yonkovit, Percona (sponsor) 

show all

Conferences and events

Postgres Build 2021
On Demand Talks, 30 November 2021 - 1 December 2021 (finished)

Recent citations in the news

Smart Associates' New Products Increase IBM Netezza Data Warehouse Return on Investment
13 January 2022, PR.com

3 really interesting jobs you can apply for this week
20 January 2022, VentureBeat

Top 10 technology IPOs of 2007
12 January 2022, TechTarget

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

IBM to Acquire Netezza for $1.78 Billion
20 September 2010, Wall Street Journal

provided by Google News

The PostgresSQL Transition Guide Helps You Make The Switch
18 January 2022, iProgrammer

Dev's PostgreSQL experiment probes possibility of zero-downtime schema migration
12 January 2022, The Register

Crunchy Data Launches France Operations to Build on Momentum in Europe
3 January 2022, PRNewswire

RDBMS Software Market Analysis, by 2031 | Microsoft, Oracle, PostgreSQL Global Development Group, SQLite – The Oxford Spokesman
25 January 2022, The Oxford Spokesman

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17 January 2022, JAXenter

provided by Google News

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VoltDB Launches Active(N) Lossless Cross Data Center Replication
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26 October 2021, PRNewswire

RDBMS Software Market Analysis, by 2031 | Microsoft, Oracle, PostgreSQL Global Development Group, SQLite – The Oxford Spokesman
25 January 2022, The Oxford Spokesman

VoltDB Partners with Google Cloud for 5G Edge Applications
24 June 2021, PRNewswire

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