DBMS > Milvus vs. Oracle vs. searchxml

System Properties Comparison Milvus vs. Oracle vs. searchxml

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Editorial information provided by DB-Engines

Name

Description

A DBMS designed for efficient storage of vector data and vector similarity searches

Widely used RDBMS

DBMS for structured and unstructured content wrapped with an application server

Primary database model

Vector DBMS

Relational DBMS

Native XML DBMS
Search engine

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
Trend Chart

Score	2.92
Rank	#87	Overall
	#7	Vector DBMS

Score	1226.57
Rank	#1	Overall
	#1	Relational DBMS

Score	0.00
Rank	#385	Overall
	#7	Native XML DBMS
	#24	Search engines

Website

milvus.io

www.oracle.com/database

www.searchxml.net/category/products

Technical documentation

milvus.io/docs/overview.md

docs.oracle.com/en/database

www.searchxml.net/support/handouts

Developer

Oracle

informationpartners gmbh

Initial release

2019

1980

2015

Current release

2.4.4, May 2024

23c, September 2023

1.0

License

Commercial or Open Source

Open Source

Apache Version 2.0

commercial

restricted free version is available

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.

Implementation language

C++, Go

C and C++

C++

Server operating systems

Linux
macOS

10.14 or later
Windows

with WSL 2 enabled

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

Windows

Data scheme

yes

Schemaless in JSON and XML columns

schema-free

Typing

predefined data types such as float or date

Vector, Numeric and String

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

RESTful HTTP API

JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)

RESTful HTTP API
WebDAV
XQuery
XSLT

Supported programming languages

C++
Go
Java
JavaScript (Node.js)
Python

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

C++

most other programming languages supported via APIs

Server-side scripts

Stored procedures

PL/SQL

also stored procedures in Java possible

yes

on the application server

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Sharding, horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Multi-source replication
Source-replica replication

yes

sychronisation to multiple collections

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

Bounded Staleness
Eventual Consistency
Immediate Consistency
Session Consistency
Tunable Consistency

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

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.

yes

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

User concepts

Access control

Role based access control and fine grained access rights

fine grained access rights according to SQL-standard

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

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More resources

DB-Engines blog posts

Vector databases
2 June 2023, Matthias Gelbmann

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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

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Recent citations in the news

Milvus 2.5 Creates the Best of Both Worlds With Hybrid Vector-Keyword Search
17 December 2024, GlobeNewswire

AI-Powered Search Engine With Milvus Vector Database on Vultr
7 November 2024, SitePoint

Dance between dense and sparse embeddings: Enabling Hybrid Search in LangChain-Milvus
19 November 2024, Towards Data Science

Generating More Creative and Curated Ghibli-Style Images with GPT-4o and Milvus
29 April 2025, DataDrivenInvestor

Open source vector database vendor targets enterprise AI costs with cloud update
19 November 2024, VentureBeat

provided by Google News

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1 May 2025, Oracle

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9 April 2025, Oracle

Oracle looks to open up data access in the era of AI
10 May 2025, SiliconANGLE

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

How Oracle AI Vector Search Stacks Up Against Chroma for Similarity Search
6 May 2025, Oracle

provided by Google News

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