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DBMS > Microsoft Azure Synapse Analytics vs. Netezza vs. PostGIS vs. RDFox

System Properties Comparison Microsoft Azure Synapse Analytics vs. Netezza vs. PostGIS vs. RDFox

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Editorial information provided by DB-Engines
NameMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPostGIS  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerData warehouse and analytics appliance part of IBM PureSystemsSpatial extension of PostgreSQLHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSSpatial DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score20.16
Rank#29  Overall
#1  Spatial DBMS
Score0.22
Rank#305  Overall
#25  Graph DBMS
#15  RDF stores
Websiteazure.microsoft.com/­services/­synapse-analyticswww.ibm.com/­products/­netezzapostgis.netwww.oxfordsemantic.tech
Technical documentationdocs.microsoft.com/­azure/­synapse-analyticspostgis.net/­documentationdocs.oxfordsemantic.tech
DeveloperMicrosoftIBMOxford Semantic Technologies
Initial release2016200020052017
Current release3.4.2, February 20246.0, Septermber 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL v2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC++
Server operating systemshostedLinux infoincluded in applianceLinux
macOS
Windows
Data schemeyesyesyesyes infoRDF schemas
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
Secondary indexesyesyesyes
SQL infoSupport of SQLyesyesyesno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
OLE DB
RESTful HTTP API
SPARQL 1.1
Supported programming languagesC#
Java
PHP
C
C++
Fortran
Java
Lua
Perl
Python
R
C
Java
Server-side scripts infoStored proceduresTransact SQLyesuser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding, horizontal partitioningShardingyes infobased on PostgreSQL
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationyes infobased on PostgreSQLreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integrityno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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 conceptyes infobased on PostgreSQLRoles, resources, and access types

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More resources
Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNetezza infoAlso called PureData System for Analytics by IBMPostGISRDFox
DB-Engines blog posts

Spatial database management systems
6 April 2021, Matthias Gelbmann

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