DBMS > IBM Db2 vs. Milvus vs. MySQL

System Properties Comparison IBM Db2 vs. Milvus vs. MySQL

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Editorial information provided by DB-Engines

Name

Description

Common in IBM host environments, 2 different versions for host and Windows/Linux

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

Widely used open source RDBMS

Primary database model

Relational DBMS

Since Version 10.5 support for JSON/BSON documents compatible with MongoDB

Vector DBMS

Relational DBMS

Key/Value like access via memcached API

Secondary database models

Document store
RDF store

in Db2 LUW (Linux, Unix, Windows)
Spatial DBMS

with Db2 Spatial Extender

Document store
Spatial DBMS

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

Score	134.60
Rank	#8	Overall
	#5	Relational DBMS

Score	1.49
Rank	#175	Overall
	#5	Vector DBMS

Score	1126.64
Rank	#2	Overall
	#2	Relational DBMS

Website

www.ibm.com/products/db2

milvus.io

www.mysql.com

Technical documentation

www.ibm.com/docs/en/db2

milvus.io/docs/overview.md

dev.mysql.com/doc

Developer

IBM

Oracle

since 2010, originally MySQL AB, then Sun

Initial release

1983

host version

2019

1995

Current release

12.1, October 2016

2.2, November 2022

8.2.0, October 2023

License

Commercial or Open Source

commercial

free version is available

Open Source

Apache Version 2.0

Open Source

GPL version 2. Commercial licenses with extended functionallity are 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.

Zilliz Cloud – Cloud-native service for Milvus

PlanetScale: Deploy a fully managed database with the reliability of MySQL and the scale of open source Vitess with PlanetScale today. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.

Implementation language

C and C++

C++, Go

C and C++

Server operating systems

AIX
HP-UX
Linux
Solaris
Windows
z/OS

Linux
macOS

10.14 or later
Windows

with WSL 2 enabled

FreeBSD
Linux
OS X
Solaris
Windows

Data scheme

yes

Typing

predefined data types such as float or date

yes

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

ADO.NET
JDBC
JSON style queries

MongoDB compatible
ODBC
XQuery

RESTful HTTP API

ADO.NET
JDBC
ODBC
Proprietary native API

Supported programming languages

C
C#
C++
Cobol
Delphi
Fortran
Java
Perl
PHP
Python
Ruby
Visual Basic

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

Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl

Server-side scripts

Stored procedures

yes

proprietary syntax

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

only with Windows/Unix/Linux Version

Sharding

horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric

Replication methods

Methods for redundantly storing data on multiple nodes

yes

with separate tools (MQ, InfoSphere)

Multi-source replication
Source-replica replication

MapReduce

Offers an API for user-defined Map/Reduce methods

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

not for MyISAM storage engine

Transaction concepts

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

ACID

not for MyISAM storage engine

Concurrency

Support for concurrent manipulation of data

yes

table locks or row locks depending on storage engine

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

User concepts

Access control

fine grained access rights according to SQL-standard

Role based access control and fine grained access rights

Users with fine-grained authorization concept

no user groups or roles

More information provided by the system vendor

Specific characteristics

Milvus is an open-source and cloud-native vector database built for production-ready...
» more

Competitive advantages

Highly available, versatile, and robust with millisecond latency. Supports batch...
» more

Typical application scenarios

Video media : video understanding, video deduplication. E-commerce and mobile applications...
» more

Key customers

Milvus is trusted by over 1,000 enterprises, including Baidu, eBay, IKEA, LINE, Shopee,...
» more

Market metrics

As of February 2023, 20k+ GitHub stars 2M+ downloads and installations 1000+ enterprise...
» more

Licensing and pricing models

Milvus was released under the open-source Apache License 2.0 in October 2019. Fully-managed...
» more

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

Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
» more

PlanetScale: Deploy a fully managed serverless database with the reliability of MySQL and the tested scalability of Vitess. Predictably scale, increase workflow velocity, and deploy features with zero downtime.
Get started with a PlanetScale database today for free.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
» more

Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» more

Navicat for MySQL is the ideal solution for MySQL/MariaDB administration and development.
» 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

Vector databases
2 June 2023, Matthias Gelbmann

show all

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

MariaDB strengthens its position in the open source RDBMS market
5 April 2018, Matthias Gelbmann

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

show all

Conferences, events and webinars

more DBMS events

MySQL Enterprise Workshop
Austin, TX, 13 December 2023

MySQL HeatWave and Database Day
Austin, TX, 14 December 2023

MySQL Enterprise Workshop
Orlando, FL, 31 January 2024

Recent citations in the news

IBM's vintage Db2 database jumps on AWS's cloud bandwagon
29 November 2023, The Register

IBM Collaborates with AWS to Launch a New Cloud Database Offering, Enabling Customers to Optimize Data ...
27 November 2023, IBM Newsroom

IBM Teams Up With Amazon for Cloud Database Service
3 December 2023, The Motley Fool

Turbocharging data management, analytics and AI with IBM Db2 and Amazon RDS, ETCIO SEA
5 December 2023, ETCIO South East Asia

IBM and AWS update cloud AI database offering
28 November 2023, Westfair Online

provided by Google News

What Is Milvus Vector Database?
6 October 2023, The New Stack

An Honest Comparison of Open Source Vector Databases
2 November 2023, KDnuggets

Airbyte Announces Additional Vector Database Connectors, Making Hundreds of Data Sources Available for Artificial ...
17 October 2023, Business Wire

Zilliz offers access to database to combat AI hallucinations – Blocks and Files
14 June 2023, Blocks & Files

Create a Movie Recommendation Engine with Milvus and Python
17 November 2023, The New Stack

provided by Google News

Using HashiCorp Vault & Spring Cloud Vault to obtain Dynamic MySQL Credentials
8 December 2023, Medium

Oracle Continues MySQL HeatWave Innovation with Vector Store and New Generative AI Capabilities
20 September 2023, Oracle

MySQL 8.2 Introduces Transparent Read/Write Splitting
11 November 2023, InfoQ.com

Oracle Introduces MySQL HeatWave Lakehouse, Outperforming Databricks, Snowflake & BigQuery
21 July 2023, Forbes

MySQL servers targeted by 'Ddostf' DDoS-as-a-Service botnet
16 November 2023, BleepingComputer

provided by Google News

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