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DBMS > Impala vs. Netezza vs. PostgreSQL vs. Yaacomo

System Properties Comparison Impala vs. Netezza vs. PostgreSQL vs. Yaacomo

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Editorial information provided by DB-Engines
NameImpala  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparisonYaacomo  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopData warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelRelational DBMSRelational 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 storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.36
Rank#38  Overall
#23  Relational DBMS
Score19.00
Rank#33  Overall
#20  Relational DBMS
Score552.23
Rank#4  Overall
#4  Relational DBMS
Score0.00
Rank#335  Overall
#139  Relational DBMS
Websitewww.cloudera.com/­products/­open-source/­apache-hadoop/­impala.htmlwww.ibm.com/­products/­netezzawww.postgresql.orgyaacomo.com
Technical documentationdocs.cloudera.com/­documentation/­enterprise/­latest/­topics/­impala.htmlwww.postgresql.org/­docs
DeveloperClouderaIBMPostgreSQL Global Development Group infowww.postgresql.org/­developerQ2WEB GmbH
Initial release201320001989 info1989: Postgres, 1996: PostgreSQL2009
Current release3.3.0, August 201913.1, November 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSDcommercial
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.
ScaleGrid for PostgreSQL: Fully managed PostgreSQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC++C
Server operating systemsLinuxLinux infoincluded in applianceFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Android
Linux
Windows
Data schemeyesyesyesyes
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.noyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsyesyes infostandard with numerous extensionsyes
APIs and other access methodsJDBC
ODBC
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesAll languages supporting JDBC/ODBCC
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 infouser defined functions and integration of map-reduceyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hashhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.nonoyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
ImpalaNetezza infoAlso called PureData System for Analytics by IBMPostgreSQLYaacomo
DB-Engines blog posts

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Recent citations in the news

Cloudera Boosts Hadoop App Development On Impala
10 November 2014, InformationWeek

Cloudera’s Impala brings Hadoop to SQL and BI
25 October 2012, ZDNet

Cloudera says Impala is faster than Hive, which isn't saying much
13 January 2014, GigaOM

Cloudera's a data warehouse player now
28 August 2018, ZDNet

Shark: Real-time queries and analytics for big data
26 November 2012, O'Reilly Radar

provided by Google News

Active Data Warehousing Market Outlook 2021, Global Industry Overview by Manufacturers – Netezza, Kognitio, Sybase, Oracle, Kognitio, Microsoft, Cloudera, HP, Greenplum, Teradata, IBM
15 January 2021, NeighborWebSJ

Active Data Warehousing Market Size, Share, Product Overview, Future Prospect and Company Profiles: Netezza, Kognitio, Sybase, Oracle, Kognitio, Microsoft, Cloudera
15 January 2021, The Pinstripe Empire

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

Netezza’s Not Dead: It’s Just Ascended
25 June 2020, Computer Business Review

Accelerated Databases In The Fast Lane
25 June 2020, The Next Platform

provided by Google News

What the PostgreSQL community has done so right
30 December 2020, TechRepublic

PostgreSQL Is DB-Engines DBMS of the Year For 2020
15 January 2021, iProgrammer

Crunchy Data PostgreSQL Security Technical Implementation Guide Now Available
6 January 2021, PRNewswire

US Air Force selects Crunchy Data for Advanced Battle Management System
13 January 2021, PRNewswire

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