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DBMS > Microsoft Azure SQL Data Warehouse vs. Netezza vs. PostgreSQL vs. SAP SQL Anywhere

System Properties Comparison Microsoft Azure SQL Data Warehouse vs. Netezza vs. PostgreSQL vs. SAP SQL Anywhere

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Editorial information provided by DB-Engines
NameMicrosoft Azure SQL Data Warehouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystemsWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
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 store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.45
Rank#42  Overall
#26  Relational DBMS
Score19.61
Rank#33  Overall
#20  Relational DBMS
Score507.19
Rank#4  Overall
#4  Relational DBMS
Score5.79
Rank#56  Overall
#32  Relational DBMS
Websiteazure.microsoft.com/­services/­sql-data-warehousewww.ibm.com/­analytics/­netezzawww.postgresql.orgwww.sap.com/­products/­sql-anywhere.html
Technical documentationdocs.microsoft.com/­azure/­sql-data-warehousewww.postgresql.org/­docs/­manualshelp.sap.com/­sql-anywhere
DeveloperMicrosoftIBMPostgreSQL Global Development Group infowww.postgresql.org/­developerSAP infoformerly Sybase
Initial release201620001989 info1989: Postgres, 1996: PostgreSQL1992
Current release12.1, November 201917, July 2015
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • Azure Database for PostgreSQL: A fully managed, scalable PostgreSQL relational database with high availability and security built in at no extra cost
  • ScaleGrid: Fully managed PostgreSQL hosting with high availability, dedicated servers, and superuser control on the #1 multi-cloud Amazon RDS alternative.
Implementation languageC++C
Server operating systemshostedLinux infoincluded in applianceFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
AIX
HP-UX
Linux
OS X
Solaris
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.yes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesyesyes infostandard with numerous extensionsyes
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET
HTTP API
JDBC
ODBC
Supported programming languagesC#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresTransact SQLyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, in C/C++, Java, .Net or Perl
Triggersnonoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMaster-slave replicationMaster-slave replication infoother methods possible by using 3rd party extensionsMaster-slave replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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
User concepts infoAccess controlyesUsers with fine-grained authorization conceptfine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

More information provided by the system vendor

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More resources
Microsoft Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMPostgreSQLSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

Azure SQL Data Warehouse, the hub for a trusted and performance optimized cloud data warehouse
1 November 2017,  Arnaud Comet, Microsoft (sponsor) 

show all

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

Microsoft SQL Server is the DBMS of the Year
4 January 2017, Matthias Gelbmann, Paul Andlinger

show all

Conferences and events

PGCon 2020, PostgreSQL Conference for Users and Developers
Ottawa, Canada, 26-29 May 2020

Recent citations in the news

How to build a cloud data warehouse for the first time
15 January 2020, Information Age

Should you consider adopting a cloud data warehouse?
13 January 2020, Information Age

What Value Does Microsoft Azure Synapse Bring To World Of Analytics?
6 January 2020, Analytics India Magazine

AtScale speeds up data accessibility with new release
15 January 2020, SiliconANGLE

Azure Synapse Analytics combines data warehouse, lake and pipelines
4 November 2019, ZDNet

provided by Google News

RIP Netezza, IBM’s FPGA-powered data warehousing dream
3 July 2019, The Register

Global Active Data Warehousing Market by Application, Industry Share, Growth Opportunities, Regions & Forecast by 2026 – Dagoretti News
20 January 2020, Dagoretti News

NN, Inc. names veteran consultants to board of directors
13 January 2020, Consulting.us

Breaking through Netezza End-of-Life
30 October 2018, Database Trends and Applications

Netezza SQL: GROUP_CONCAT, REPLACE and the Data Sampling Trick
31 January 2019, Toolbox

provided by Google News

Aqua Data Studio Version 20.5 Introduces Support for Amazon RDS
14 January 2020, Yahoo Finance

Aqua Data Studio Version 20.5 Introduces New Database Support
15 January 2020, Database Trends and Applications

Hands-on SQL in PostgreSQL
16 December 2019, Database Journal

PostgreSQL turns performance up for v12 release
3 October 2019, DevClass

Sr Software Developer job with Altice USA | 408916
8 January 2020, mediabistro.com

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SAP gives SQL Anywhere a new IoT injection
16 July 2015, Computerworld

SAP SQL Anywhere
13 October 2016, TechTarget

SAP BAPI (Business Application Programming Interface)
2 April 2018, TechTarget

SAP IoT products: How do they work with ERP and big data?
28 December 2015, TechTarget

IoT Cloud Solutions Provide Enterprises Affordable Access to High-Speed Data Networks: SAP Labs
13 February 2018, DATAQUEST

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Job opportunities

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