DBMS > EDB Postgres vs. Microsoft SQL Server vs. Netezza
System Properties Comparison EDB Postgres vs. Microsoft SQL Server vs. Netezza
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|Editorial information provided by DB-Engines|
|Name||EDB Postgres Xexclude from comparison||Microsoft SQL Server Xexclude from comparison||Netezza Also called PureData System for Analytics by IBM Xexclude from comparison|
|Description||The EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.||Microsofts flagship relational DBMS||Data warehouse and analytics appliance part of IBM PureSystems|
|Primary database model||Relational DBMS||Relational DBMS||Relational DBMS|
|Secondary database models||Document store|
|Current release||14, December 2021||SQL Server 2022, November 2022|
|License Commercial or Open Source||commercial BSD for PostgreSQL-components||commercial restricted free version is available||commercial|
|Cloud-based only Only available as a cloud service||no||no||no|
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|Server operating systems||Linux|
|Linux included in appliance|
|Typing predefined data types such as float or date||yes||yes||yes|
|XML support Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.||yes specific XML-type available, but no XML query functionality.||yes|
|SQL Support of SQL||yes standard with numerous extensions||yes||yes|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
Tabular Data Stream (TDS)
|Supported programming languages||.Net|
|Server-side scripts Stored procedures||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||Transact SQL, .NET languages, R, Python and (with SQL Server 2019) Java||yes|
|Partitioning methods Methods for storing different data on different nodes||horizontal partitioning by hash, list or range||tables can be distributed across several files (horizontal partitioning); sharding through federation||Sharding|
|Replication methods Methods for redundantly storing data on multiple nodes||Multi-source replication||yes, but depending on the SQL-Server Edition||Source-replica replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||yes|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency|
|Foreign keys Referential integrity||yes||yes||no|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes, multi-version concurrency control (MVCC)||yes||yes|
|Durability Support for making data persistent||yes||yes||yes|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no||yes|
|User concepts Access control||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard||Users with fine-grained authorization concept|
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|EDB Postgres||Microsoft SQL Server||Netezza Also called PureData System for Analytics by IBM|
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