DBMS > Microsoft Azure Synapse Analytics vs. PostgreSQL vs. TimesTen
System Properties Comparison Microsoft Azure Synapse Analytics vs. PostgreSQL vs. TimesTen
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|Editorial information provided by DB-Engines|
|Name||Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse Xexclude from comparison||PostgreSQL Xexclude from comparison||TimesTen Xexclude from comparison|
|Description||Elastic, large scale data warehouse service leveraging the broad eco-system of SQL Server||Widely used open source RDBMS Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL||In-Memory RDBMS compatible to Oracle|
|Primary database model||Relational DBMS||Relational DBMS with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.||Relational DBMS|
|Secondary database models||Document store|
|Developer||Microsoft||PostgreSQL Global Development Group www.postgresql.org/developer||Oracle, TimesTen Performance Software, HP originally founded in HP Labs it was acquired by Oracle in 2005|
|Initial release||2016||1989 1989: Postgres, 1996: PostgreSQL||1998|
|Current release||14.1, November 2021||11 Release 2 (184.108.40.206.0)|
|License Commercial or Open Source||commercial||Open Source BSD||commercial|
|Cloud-based only Only available as a cloud service||yes||no||no|
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|Server operating systems||hosted||FreeBSD|
|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.||no||yes specific XML-type available, but no XML query functionality.||no|
|SQL Support of SQL||yes||yes standard with numerous extensions||yes|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
Oracle Call Interface (OCI)
|Supported programming languages||C#|
|Server-side scripts Stored procedures||Transact SQL||user defined functions realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.||PL/SQL|
|Partitioning methods Methods for storing different data on different nodes||Sharding, horizontal partitioning||partitioning by range, list and (since PostgreSQL 11) by hash||none|
|Replication methods Methods for redundantly storing data on multiple nodes||yes||Source-replica replication other methods possible by using 3rd party extensions||Multi-source replication|
|MapReduce Offers an API for user-defined Map/Reduce methods||no||no||no|
|Consistency concepts Methods to ensure consistency in a distributed system||Immediate Consistency||Immediate Consistency||Immediate Consistency or Eventual Consistency depending on configuration|
|Foreign keys Referential integrity||no docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints||yes||yes|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes|
|Durability Support for making data persistent||yes||yes||yes by means of logfiles and checkpoints|
|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||yes||fine grained access rights according to SQL-standard||fine grained access rights according to SQL-standard|
More information provided by the system vendor
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|Related products and services|
|3rd parties||Instaclustr: Fully Hosted & Managed PostgreSQL|
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|Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse||PostgreSQL||TimesTen|
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