DBMS > PostgreSQL vs. searchxml

System Properties Comparison PostgreSQL vs. searchxml

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Editorial information provided by DB-Engines

Name

Description

Widely used open source RDBMS

Developed as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL

DBMS for structured and unstructured content wrapped with an application server

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.

Native XML DBMS
Search engine

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	612.82
Rank	#4	Overall
	#4	Relational DBMS

Score	0.00
Rank	#403	Overall
	#7	Native XML DBMS
	#24	Search engines

Website

www.postgresql.org

www.searchxml.net/category/products

Technical documentation

www.postgresql.org/docs

www.searchxml.net/support/handouts

Developer

PostgreSQL Global Development Group

www.postgresql.org/developer

informationpartners gmbh

Initial release

1989

1989: Postgres, 1996: PostgreSQL

2015

Current release

15.3, May 2023

1.0

License

Commercial or Open Source

Open Source

BSD

commercial

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Aiven for PostgreSQL: Fully managed and hosted PostgreSQL® with 70+ extensions and orchestration tooling included.
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Implementation language

C++

Server operating systems

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

Windows

Data scheme

yes

schema-free

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.

yes

Secondary indexes

yes

SQL

Support of SQL

yes

standard with numerous extensions

APIs and other access methods

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

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

user defined functions

realized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.

yes

on the application server

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

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

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

other methods possible by using 3rd party extensions

yes

sychronisation to multiple collections

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

yes

Transaction concepts

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

ACID

multiple readers, single writer

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

fine grained access rights according to SQL-standard

Domain, group and role-based access control at the document level and for application services

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

Fujitsu Enterprise Postgres: An Enterprise Grade PostgreSQL with the flexibility of a hybrid cloud solution combined with industry leading security, availability and performance.
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DbVisualizer is equipping database professionals with the tools they need to build, manage and maintain state-of-the-art database technologies. It has sky-high user satisfaction and is the preferred tool for database professionals around the world. Customers include Tesla, Apple, Facebook, Deutsche Bank, NASA, and 25,000 others in 145 countries.
» more

pgDash: In-Depth PostgreSQL Monitoring.
» more

Navicat for PostgreSQL is an easy-to-use graphical tool for PostgreSQL database development.
» more

Datasentinel: Platform for Monitoring and Analyzing the performance problems of your PostgreSQL Clusters
» more

The State of PostgreSQL 2022 survey is now open!
» more

Instaclustr: Fully Hosted & Managed PostgreSQL
» more

SQLFlow: Provides a visual representation of the overall flow of data. Automated SQL data lineage analysis across Databases, ETL, Business Intelligence, Cloud and Hadoop environments by parsing SQL Script and stored procedure.
» more

Aiven for PostgreSQL: The familiar open source PostgreSQL® that you know and love, with no proprietary features or add-ons that will lock you in.
» more

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

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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