DBMS > Microsoft Azure Synapse Analytics vs. PostgreSQL

System Properties Comparison Microsoft Azure Synapse Analytics vs. PostgreSQL

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Our visitors often compare Microsoft Azure Synapse Analytics and PostgreSQL with Amazon Redshift, Google BigQuery and Microsoft Azure Cosmos DB.

Editorial information provided by DB-Engines

Name

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

Primary database model

Relational DBMS

with object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.

Secondary database models

Document store
Graph DBMS

with Apache Age
Spatial DBMS

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	24.93
Rank	#32	Overall
	#19	Relational DBMS

Score	612.82
Rank	#4	Overall
	#4	Relational DBMS

Website

azure.microsoft.com/services/synapse-analytics

www.postgresql.org

Technical documentation

docs.microsoft.com/azure/synapse-analytics

www.postgresql.org/docs

Developer

Microsoft

PostgreSQL Global Development Group

www.postgresql.org/developer

Initial release

2016

1989

1989: Postgres, 1996: PostgreSQL

Current release

15.3, May 2023

License

Commercial or Open Source

commercial

Open Source

BSD

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Implementation language

C++

Server operating systems

hosted

FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows

Data scheme

yes

Typing

predefined data types such as float or date

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.

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

APIs and other access methods

ADO.NET
JDBC
ODBC

ADO.NET
JDBC
native C library
ODBC
streaming API for large objects

Supported programming languages

C#
Java
PHP

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

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.

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding, horizontal partitioning

partitioning by range, list and (since PostgreSQL 11) by hash

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Source-replica replication

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/sql-data-warehouse-table-constraints

yes

Transaction concepts

Support to ensure data integrity after non-atomic manipulations of data

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

User concepts

Access control

yes

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
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Related products and services

3rd parties

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We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

DB-Engines blog posts

Snowflake is the DBMS of the Year 2022, defending the title from last year
3 January 2023, Matthias Gelbmann, Paul Andlinger

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

Driving the Future of PostgreSQL Adoption
15 November 2021, Umair Shahid, Percona (sponsor)

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Recent citations in the news

Introducing Microsoft Fabric: The data platform for the era of AI ...
23 May 2023, azure.microsoft.com

Microsoft: Fabric unifies Power BI, Synapse, Azure Data into a "complete" AI-powered product
23 May 2023, Neowin

Why Microsoft is combining all its data analytics products into Fabric
23 May 2023, InfoWorld

What is Azure Synapse Analytics?
15 May 2023, Experts Exchange

Cloud Data Warehousing: Unleashing the Power of Azure and AWS
11 May 2023, Experts Exchange

provided by Google News

Serverless is the future of PostgreSQL
5 June 2023, InfoWorld

PostgreSQL 16 advances query parallelism
26 May 2023, InfoWorld

MongoDB vs. PostgreSQL vs. ScyllaDB: Tractian's Experience
31 May 2023, The New Stack

How to Migrate from Oracle to PostgreSQL
10 May 2023, hackernoon.com

MariaDB's Xpand offers PostgreSQL compatibility without the forking drama
10 May 2023, The Register

provided by Google News

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