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DBMS > MySQL vs. Netezza vs. Qdrant

System Properties Comparison MySQL vs. Netezza vs. Qdrant

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Editorial information provided by DB-Engines
NameMySQL  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionWidely used open source RDBMSData warehouse and analytics appliance part of IBM PureSystemsA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMS infoKey/Value like access via memcached APIRelational DBMSVector DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1039.46
Rank#2  Overall
#2  Relational DBMS
Score8.15
Rank#46  Overall
#30  Relational DBMS
Score1.26
Rank#163  Overall
#7  Vector DBMS
Websitewww.mysql.comwww.ibm.com/­products/­netezzagithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdev.mysql.com/­docqdrant.tech/­documentation
DeveloperOracle infosince 2010, originally MySQL AB, then SunIBMQdrant
Initial release199520002021
Current release9.0.0, July 2024
License infoCommercial or Open SourceOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availablecommercialOpen Source infoApache Version 2.0
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.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC and C++Rust
Server operating systemsFreeBSD
Linux
OS X
Solaris
Windows
Linux infoincluded in applianceDocker
Linux
macOS
Windows
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesNumbers, Strings, Geo, Boolean
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.yesno
Secondary indexesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyes infowith proprietary extensionsyesno
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
JDBC
ODBC
OLE DB
gRPC
OpenAPI 3.0
RESTful HTTP/JSON API infoOpenAPI 3.0
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Fortran
Java
Lua
Perl
Python
R
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infoproprietary syntaxyes
Triggersyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning, sharding with MySQL Cluster or MySQL FabricShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Source-replica replicationCollection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency, tunable consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage engineno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineACID
Concurrency infoSupport for concurrent manipulation of datayes infotable locks or row locks depending on storage engineyesyes
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.yesyes
User concepts infoAccess controlUsers with fine-grained authorization concept infono user groups or rolesUsers with fine-grained authorization conceptKey-based authentication

More information provided by the system vendor

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Related products and services
3rd partiesAiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
» more

CData: Connect to Big Data & NoSQL through standard Drivers.
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Navicat Monitor is a safe, simple and agentless remote server monitoring tool for MySQL and many other database management systems.
» 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
MySQLNetezza infoAlso called PureData System for Analytics by IBMQdrant
DB-Engines blog posts

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

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Recent citations in the news

Latest MySQL release is underwhelming, say some DB experts
16 July 2024, The Register

A Complete Guide on MySQL Workbench
12 July 2024, Simplilearn

MySQL vs. MariaDB: a brief comparison guide
23 July 2024, TechSpot

How to install MySQL on Windows
17 July 2024, TheServerSide.com

What to be aware before importing MariaDB .sql into a MySQL database?
11 July 2024, SitePoint

provided by Google News

Unify and share data across Netezza and watsonx.data for new generative AI applications
21 June 2024, IBM

AWS and IBM Netezza come out in support of Iceberg in table format face-off
1 August 2023, The Register

Roundup: IBM, Arista, AboveNet
31 May 2024, Data Center Knowledge

Migrating your Netezza data warehouse to Amazon Redshift
27 May 2020, AWS Blog

IBM Completes Acquisition of Netezza
26 October 2017, PR Newswire

provided by Google News

Qdrant Introduces BM42: Hybrid Search For Enhanced RAG
6 July 2024, Forbes

Qdrant unveils hybrid vector algorithm for improved RAG
2 July 2024, Blocks & Files

Qdrant launches pure vector-based hybrid search for more accurate AI data retrieval
2 July 2024, SiliconANGLE News

Open source vector database startup Qdrant raises $28M
23 January 2024, TechCrunch

Qdrant unveils vector-based hybrid search for RAG
2 July 2024, InfoWorld

provided by Google News



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