DBMS > DuckDB vs. Fujitsu Enterprise Postgres vs. Oracle

System Properties Comparison DuckDB vs. Fujitsu Enterprise Postgres vs. Oracle

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

An embeddable, in-process, column-oriented SQL OLAP RDBMS

Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.

Widely used RDBMS

Primary database model

Relational DBMS

Secondary database models

Document store
Spatial DBMS

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

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

Score	7.44
Rank	#44	Overall
	#27	Relational DBMS

Score	0.26
Rank	#295	Overall
	#132	Relational DBMS

Score	1226.57
Rank	#1	Overall
	#1	Relational DBMS

Website

duckdb.org

www.postgres.global.fujitsu.com

www.oracle.com/database

Technical documentation

duckdb.org/docs

www.postgres.global.fujitsu.com/product-manuals

docs.oracle.com/en/database

Developer

Fujitsu Limited

Oracle

Initial release

2018

1980

Current release

1.0.0, June 2024

Fujitsu Enterprise Postgres 16, May 2024

23c, September 2023

License

Commercial or Open Source

Open Source

MIT License

commercial

restricted free version is available

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.

Implementation language

C++

C and C++

Server operating systems

server-less

Linux
Windows

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

Data scheme

yes

Schemaless in JSON and XML columns

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

Secondary indexes

yes

SQL

Support of SQL

yes

with proprietary extensions

APIs and other access methods

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

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

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

Supported programming languages

C
C#

3rd party driver
C++
Crystal

3rd party driver
Go

3rd party driver
Java
Lisp

3rd party driver
Python
R
Ruby

3rd party driver
Rust
Swift
Zig

3rd party driver

.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl

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

Server-side scripts

Stored procedures

user defined functions

PL/SQL

also stored procedures in Java possible

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

partitioning by range, list and by hash

Sharding, horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

none

Source-replica replication

Multi-source replication
Source-replica replication

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

Concurrency

Support for concurrent manipulation of data

yes, multi-version concurrency control (MVCC)

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

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

More resources

DB-Engines blog posts

DB-Engines shares Q1 2025 database industry rankings and top climbers: Snowflake and PostgreSQL trending
1 May 2025, DB-Engines

show all

DB-Engines shares Q1 2025 database industry rankings and top climbers: Snowflake and PostgreSQL trending
1 May 2025, DB-Engines

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

show all

Recent citations in the news

Hands-On Exploratory Data Analysis with DuckDB
19 May 2025, Packt

Analyzing JSON Data with DuckDB and SQL
1 May 2025, KDnuggets

Streamlining access to tabular datasets stored in Amazon S3 Tables with DuckDB | Amazon Web Services
18 March 2025, Amazon Web Services (AWS)

Abusing DuckDB-WASM To Create Doom In SQL
23 April 2025, Hackaday

DuckDB project releases Local web UI, but not as open source
19 March 2025, devclass

provided by Google News

Fujitsu Statistics By Operating Profit, Revenue, R&D Expenditure And Number of Employees
14 November 2024, Electro IQ -

Fujitsu Develops Column-Oriented Data-Processing Engine Enabling Fast, High-Volume Data Analysis in Database Systems - Fujitsu Global
26 February 2015, Fujitsu

Fujitsu Develops Database Integration Technology to Accelerate IoT Data Analysis
17 March 2017, Fujitsu

Environmental Agency
14 May 2020, Fujitsu

Fujitsu AI Strategy Strengthens Data Integration, GenAI Capabilities with Dedicated Platform and New Fujitsu Uvance Offerings
14 February 2024, datanami.com

provided by Google News

Spring AI 1.0 GA released with Oracle Vector Database support
21 May 2025, Oracle Blogs

Oracle Database TNS vulnerability could leak data to further attacks
21 May 2025, SC Media

Sphere Powers its AI Platform with Oracle Database 23ai
1 May 2025, Oracle

Oracle and Google Cloud Announce Industry-First Partner Program and Powerful New Capabilities for Oracle Database@Google Cloud
9 April 2025, Oracle

Oracle and Microsoft Add Powerful, Flexible New Services to Oracle Database@Azure and Expand Regional Availability
20 March 2025, Oracle

provided by Google News

Share this page