DBMS > Microsoft Azure Synapse Analytics vs. PostgreSQL vs. VoltDB
System Properties Comparison Microsoft Azure Synapse Analytics vs. PostgreSQL vs. VoltDB
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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||VoltDB 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||Distributed In-Memory NewSQL RDBMS Used for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory|
|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||VoltDB Inc.|
|Initial release||2016||1989 1989: Postgres, 1996: PostgreSQL||2010|
|Current release||14.4, June 2022||11.3, April 2022|
|License Commercial or Open Source||commercial||Open Source BSD||Open Source AGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions|
|Cloud-based only Only available as a cloud service||yes||no||no|
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|Implementation language||C++||C||Java, C++|
|Server operating systems||hosted||FreeBSD|
OS X for development
|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.|
|SQL Support of SQL||yes||yes standard with numerous extensions||yes only a subset of SQL 99|
|APIs and other access methods||ADO.NET|
native C library
streaming API for large objects
RESTful HTTP/JSON API
|Supported programming languages||C#|
Erlang not officially supported
|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.||Java|
|Partitioning methods Methods for storing different data on different nodes||Sharding, horizontal partitioning||partitioning by range, list and (since PostgreSQL 11) by hash||Sharding|
|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|
|Foreign keys Referential integrity||no docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints||yes||no FOREIGN KEY constraints are not supported|
|Transaction concepts Support to ensure data integrity after non-atomic manipulations of data||ACID||ACID||ACID Transactions are executed single-threaded within stored procedures|
|Concurrency Support for concurrent manipulation of data||yes||yes||yes Data access is serialized by the server|
|Durability Support for making data persistent||yes||yes||yes Snapshots and command logging|
|In-memory capabilities Is there an option to define some or all structures to be held in-memory only.||no|
|User concepts Access control||yes||fine grained access rights according to SQL-standard||Users and roles with access to stored procedures|
More information provided by the system vendor
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|Microsoft Azure Synapse Analytics previously named Azure SQL Data Warehouse||PostgreSQL||VoltDB|
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