DBMS > Oracle vs. PostgreSQL vs. SvectorDB

System Properties Comparison Oracle vs. PostgreSQL vs. SvectorDB

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Widely used RDBMS

Widely used open source RDBMS

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

Serverless cloud-native vector database

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.

Vector DBMS

Secondary database models

Document store
Graph DBMS

with Oracle Spatial and Graph
RDF store

with Oracle Spatial and Graph
Spatial DBMS

with Oracle Spatial and Graph
Vector DBMS

since Oracle 23

Document store
Graph DBMS

with Apache Age
Spatial DBMS
Vector DBMS

with pgvector extension

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

Score	1309.45
Rank	#1	Overall
	#1	Relational DBMS

Score	652.16
Rank	#4	Overall
	#4	Relational DBMS

Score	0.00
Rank	#388	Overall
	#18	Vector DBMS

Website

www.oracle.com/database

www.postgresql.org

svectordb.com

Technical documentation

docs.oracle.com/en/database

www.postgresql.org/docs

www.svectordb.com/docs

Developer

Oracle

PostgreSQL Global Development Group

www.postgresql.org/developer

SvectorDB

Initial release

1980

1989

1989: Postgres, 1996: PostgreSQL

2023

Current release

23c, September 2023

16.4, August 2024

License

Commercial or Open Source

commercial

restricted free version is available

Open Source

BSD

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

PostgreSQL Flex @ STACKIT offers managed PostgreSQL Instances with adjustable CPU, RAM, storage amount and speed and several extensions available, in enterprise grade to perfectly match all application requirements. All 100% GDPR-compliant.

Implementation language

C and C++

Server operating systems

AIX
HP-UX
Linux
OS X
Solaris
Windows
z/OS

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

server-less

Data scheme

yes

Schemaless in JSON and XML columns

yes

Typing

predefined data types such as float or date

yes

string, double, vector

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

with proprietary extensions

yes

standard with numerous extensions

APIs and other access methods

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

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

OpenAPI 3.0, RESTful HTTP API, Python SDK, JavaScript / TypeScript SDK

Supported programming languages

C
C#
C++
Clojure
Cobol
Delphi
Eiffel
Erlang
Fortran
Groovy
Haskell
Java
JavaScript
Lisp
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Scala
Tcl
Visual Basic

.Net
C
C++
Delphi
Java

JDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl

Server-side scripts

Stored procedures

PL/SQL

also stored procedures in Java possible

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

Multi-source replication
Source-replica replication

Source-replica replication

other methods possible by using 3rd party extensions

MapReduce

Offers an API for user-defined Map/Reduce methods

can be realized in PL/SQL

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

isolation level can be parameterized

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.

yes

Version 12c introduced the new option 'Oracle Database In-Memory'

User concepts

Access control

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,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

3rd parties

Devart ODBC driver for Oracle accesses Oracle databases from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32 and 64-bit Windows, macOS, and Linux.
» more

SharePlex is the reliable and affordable data replication solution for PostgreSQL migrations, high availability and more.
» more

CYBERTEC is a premier consulting company that provides open-source database PostgreSQL management and data science solutions. By offering PostgreSQL migrations, administration, design, and more, CYBERTEC provides an all-in-one catalog of powerful PostgreSQL support. It's through this exceptional service, equipped with a team of experts, that the company has established a proven reputation. When it comes to Machine Learning, Artificial Intelligence, and Big Data, CYBERTEC offers services customized for you.
» more

pgDash: In-Depth PostgreSQL Monitoring.
» 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

MySQL is the DBMS of the Year 2019
3 January 2020, Matthias Gelbmann, Paul Andlinger

The struggle for the hegemony in Oracle's database empire
2 May 2017, Paul Andlinger

Architecting eCommerce Platforms for Zero Downtime on Black Friday and Beyond
25 November 2016, Tony Branson (guest author)

show all

PostgreSQL is the DBMS of the Year 2023
2 January 2024, Matthias Gelbmann, Paul Andlinger

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

show all

Conferences, events and webinars

more DBMS events

PASS Data Community Summit
Seattle, Washington, 4-8 November 2024

Recent citations in the news

AWS Weekly Roundup: Oracle Database@AWS, Amazon RDS, AWS PrivateLink, Amazon MSK, Amazon EventBridge, Amazon SageMaker and more | Amazon Web Services
16 September 2024, AWS Blog

Microsoft and Oracle enhance Oracle Database@Azure with data and AI integration
9 September 2024, Microsoft

Oracle Database 23ai is now available for Oracle Database Appliance
22 July 2024, blogs.oracle.com

Oracle (ORCL) Up 11.9% Since Last Earnings Report: Can It Continue?
9 October 2024, Yahoo Finance

Oracle inks deal with AWS to offer database services
10 September 2024, CIO

provided by Google News

EDB Enhancements in PostgreSQL 17 Support Modern Enterprise Needs
11 October 2024, SDxCentral

Failing to connect Commento with PostgreSQL
1 October 2024, SitePoint

PostgreSQL 17 accelerates open source database with replication and JSON tables
26 September 2024, VentureBeat

PostgreSQL 17 Gets Incremental Backup, SQL Queries for JSON
26 September 2024, The New Stack

PostgreSQL 17 packs big performance and feature enhancements
26 September 2024, ZDNet

provided by Google News

Share this page