DBMS > DuckDB vs. Oracle vs. Qdrant

System Properties Comparison DuckDB vs. Oracle vs. Qdrant

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Editorial information provided by DB-Engines

Name

Description

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

Widely used RDBMS

A high-performance vector database with neural network or semantic-based matching

Primary database model

Relational DBMS

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

DB-Engines Ranking measures the popularity of database management systems
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Score	7.39
Rank	#44	Overall
	#28	Relational DBMS

Score	1231.05
Rank	#1	Overall
	#1	Relational DBMS

Score	2.23
Rank	#106	Overall
	#8	Vector DBMS

Website

duckdb.org

www.oracle.com/database

github.com/qdrant/qdrant
qdrant.tech

Technical documentation

duckdb.org/docs

docs.oracle.com/en/database

qdrant.tech/documentation

Developer

Oracle

Qdrant

Initial release

2018

1980

2021

Current release

1.0.0, June 2024

23c, September 2023

License

Commercial or Open Source

Open Source

MIT License

commercial

restricted free version is available

Open Source

Apache Version 2.0

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++

Rust

Server operating systems

server-less

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

Docker
Linux
macOS
Windows

Data scheme

yes

Schemaless in JSON and XML columns

schema-free

Typing

predefined data types such as float or date

yes

Numbers, Strings, Geo, Boolean

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

Keywords, numberic ranges, geo, full-text

SQL

Support of SQL

yes

with proprietary extensions

APIs and other access methods

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

gRPC
OpenAPI 3.0
RESTful HTTP/JSON API

OpenAPI 3.0

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

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
Go
Java
JavaScript (Node.js)
Python
Rust

Server-side scripts

Stored procedures

PL/SQL

also stored procedures in Java possible

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

none

Sharding, horizontal partitioning

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

none

Multi-source replication
Source-replica replication

Collection-level 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

Eventual Consistency, tunable 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'

yes

User concepts

Access control

fine grained access rights according to SQL-standard

Key-based authentication

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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

Recent citations in the news

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

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

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

A Guide to Data Analysis in Python with DuckDB
18 November 2024, KDnuggets

MotherDuck Announces Beta Release of pg_duckdb; Brings DuckDB's Analytics Power to PostgreSQL Users
24 October 2024, PR Newswire

provided by Google News

Technology Reply Optimizes Pusterla 1880’s Quotation Management with Oracle AI Capabilities, Reducing the Estimation Time by 90%
29 April 2025, StreetInsider

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

Mitsubishi UFJ Bank Collaborates with Oracle to Build the Next-Generation Platform for Mitsubishi UFJ Direct
23 April 2025, Oracle

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

Oracle and Google Cloud Expand Regional Availability and Add Powerful New Capabilities to Oracle Database@Google Cloud
30 January 2025, Oracle

provided by Google News

Qdrant Receives Industry Honors for Innovation in AI and Vector Search
28 April 2025, Yahoo Finance

.NET AI Chat Web App Template Preview 2 Released with Qdrant and .NET Aspire Support
21 April 2025, infoq.com

Qdrant update adds security measures for AI development
4 March 2025, TechTarget

Qdrant promises 10x faster indexing with GPU-powered vector database
23 January 2025, Blocks and Files

Qdrant Launches the First Platform-Independent GPU-Accelerated Vector Indexing for Real-Time AI Applications
23 January 2025, Business Wire

provided by Google News

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