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DBMS > Ignite vs. Netezza vs. PostgreSQL

System Properties Comparison Ignite vs. Netezza vs. PostgreSQL

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Editorial information provided by DB-Engines
NameIgnite  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionApache Ignite is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads, delivering in-memory speeds at petabyte scale.Data warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelKey-value store
Relational DBMS
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.32
Rank#71  Overall
#11  Key-value stores
#39  Relational DBMS
Score18.33
Rank#34  Overall
#21  Relational DBMS
Score547.57
Rank#4  Overall
#4  Relational DBMS
Websiteignite.apache.orgwww.ibm.com/­products/­netezzawww.postgresql.org
Technical documentationapacheignite.readme.io/­docswww.postgresql.org/­docs
DeveloperApache Software FoundationIBMPostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release201520001989 info1989: Postgres, 1996: PostgreSQL
Current releaseApache Ignite 2.613.1, November 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++, Java, .NetC
Server operating systemsLinux
OS X
Solaris
Windows
Linux infoincluded in applianceFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
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.yesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyes
SQL infoSupport of SQLANSI-99 for query and DML statements, subset of DDLyesyes infostandard with numerous extensions
APIs and other access methodsHDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Java
PHP
Python
Ruby
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes (compute grid and cache interceptors can be used instead)yesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes (cache interceptors and events)noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesyes (replicated cache)Source-replica replicationSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes (compute grid and hadoop accelerator)yesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
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.yesno
User concepts infoAccess controlSecurity Hooks for custom implementationsUsers with fine-grained authorization conceptfine grained access rights according to SQL-standard

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More resources
IgniteNetezza infoAlso called PureData System for Analytics by IBMPostgreSQL
DB-Engines blog posts

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

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Conferences and events

PostgreSQL Online Trainings
Online Training Courses, 4 May 2020 - 11 December 2020

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