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DBMS > Drizzle vs. Milvus vs. MySQL

System Properties Comparison Drizzle vs. Milvus vs. MySQL

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Editorial information provided by DB-Engines
NameDrizzle  Xexclude from comparisonMilvus  Xexclude from comparisonMySQL  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.A DBMS designed for efficient storage of vector data and vector similarity searchesWidely used open source RDBMS
Primary database modelRelational DBMSMultivalue DBMSRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#277  Overall
#11  Multivalue DBMS
Score1212.52
Rank#2  Overall
#2  Relational DBMS
Websitemilvus.iowww.mysql.com
Technical documentationmilvus.io/­docs/­overview.mddev.mysql.com/­doc
DeveloperDrizzle project, originally started by Brian AkerOracle infosince 2010, originally MySQL AB, then Sun
Initial release200820191995
Current release7.2.4, September 20121.0, March 20218.0.26, July 2021
License infoCommercial or Open SourceOpen Source infoGNU GPLOpen Source infoApache Version 2.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ScaleGrid for MySQL: Fully managed MySQL hosting on AWS, Azure and DigitalOcean with high availability and SSH access on the #1 multi-cloud DBaaS.
Implementation languageC++C++C and C++
Server operating systemsFreeBSD
Linux
OS X
LinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.noyes
Secondary indexesyesnoyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoyes infowith proprietary extensions
APIs and other access methodsJDBCRESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesC
C++
Java
PHP
C++
Go
Java
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 infoStored proceduresnonoyes infoproprietary syntax
Triggersno infohooks for callbacks inside the server can be used.noyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlPluggable authentication mechanisms infoe.g. LDAP, HTTPnoUsers with fine-grained authorization concept infono user groups or roles

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More resources
DrizzleMilvusMySQL
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Recent citations in the news

What Is Vector Similarity Search? | Business Applications of Vector Search
11 August 2021, CIO Insight

Milvus, the AI Search Engine, Originally Developed by Zilliz Joins LF AI as New Incubation Project
10 April 2020, PRNewswire

5 AI startups leading MLops
21 June 2021, InfoWorld

Zilliz Raises $43M to Build AI-powered Unstructured Data
16 November 2020, GlobeNewswire

LF AI & Data gets new incubator projects to simplify distributed learning • DEVCLASS
20 July 2021, DevClass

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PlanetScale review: Horizontally scalable MySQL in the cloud
1 September 2021, InfoWorld

Oracle Introduces MySQL Autopilot with Machine-Learning Capabilities for MySQL Heatwave
19 August 2021, InfoQ.com

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16 September 2021, prMac

Add Authentication to Any PHP App Using MySQL
8 September 2021, MakeUseOf

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16 September 2021, Cloud Wars

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