DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Amazon Aurora vs. JaguarDB vs. MySQL vs. Qdrant

System Properties Comparison Amazon Aurora vs. JaguarDB vs. MySQL vs. Qdrant

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameAmazon Aurora  Xexclude from comparisonJaguarDB  Xexclude from comparisonMySQL  Xexclude from comparisonQdrant  Xexclude from comparison
DescriptionMySQL and PostgreSQL compatible cloud service by AmazonPerformant, highly scalable DBMS for AI and IoT applicationsWidely used open source RDBMSA high-performance vector database with neural network or semantic-based matching
Primary database modelRelational DBMSKey-value store
Vector DBMS
Relational DBMS infoKey/Value like access via memcached APIVector DBMS
Secondary database modelsDocument storeDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
#13  Vector DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score1.16
Rank#175  Overall
#6  Vector DBMS
Websiteaws.amazon.com/­rds/­aurorawww.jaguardb.comwww.mysql.comgithub.com/­qdrant/­qdrant
qdrant.tech
Technical documentationdocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmlwww.jaguardb.com/­support.htmldev.mysql.com/­docqdrant.tech/­documentation
DeveloperAmazonDataJaguar, Inc.Oracle infosince 2010, originally MySQL AB, then SunQdrant
Initial release2015201519952021
Current release3.3 July 20238.3.0, January 2024
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0Open Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
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++ infothe server part. Clients available in other languagesC and C++Rust
Server operating systemshostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
Docker
Linux
macOS
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesNumbers, 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.yesnoyesno
Secondary indexesyesyesyesyes infoKeywords, numberic ranges, geo, full-text
SQL infoSupport of SQLyesA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infowith proprietary extensionsno
APIs and other access methodsADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET
JDBC
ODBC
Proprietary native API
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++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
Go
Java
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyesnoyes infoproprietary syntax
Triggersyesnoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardinghorizontal partitioning, sharding with MySQL Cluster or MySQL FabricSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication
Source-replica replication
Collection-level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate ConsistencyEventual Consistency, tunable 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 engineyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesyes
User concepts infoAccess controlfine grained access rights according to SQL-standardrights management via user accountsUsers with fine-grained authorization concept infono user groups or rolesKey-based authentication

More information provided by the system vendor

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 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.
» more

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
Amazon AuroraJaguarDBMySQLQdrant
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

The popularity of cloud-based DBMSs has increased tenfold in four years
7 February 2017, Matthias Gelbmann

Amazon - the rising star in the DBMS market
3 August 2015, 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

Recent citations in the news

Baffle enables computation on encrypted Amazon RDS and Aurora data – Blocks and Files
1 May 2024, Blocks and Files

Join the preview of Amazon Aurora Limitless Database | Amazon Web Services
27 November 2023, AWS Blog

Handle tables without primary keys while creating Amazon Aurora PostgreSQL zero-ETL integrations with Amazon ...
18 April 2024, AWS Blog

Baffle Delivers Enterprise-Grade Data Security for PostgreSQL on Amazon RDS and Amazon Aurora
1 May 2024, Yahoo Finance

New – Amazon Aurora Optimized Reads for Aurora PostgreSQL with up to 8x query latency improvement for I/O ...
8 November 2023, AWS Blog

provided by Google News

4ème Conférence & Expo MySQL Percona Live "Un événement fun et instructif"
1 May 2024, Yahoo Singapore News

Amazon Aurora MySQL version 2 (with MySQL 5.7 compatibility) to version 3 (with MySQL 8.0 compatibility) upgrade ...
18 March 2024, AWS Blog

Enterprise Manager: How Comcast enhanced monitoring for MySQL InnoDB Clusters
22 April 2024, Oracle

Zendesk Moves from DynamoDB to MySQL and S3 to Save over 80% in Costs
29 December 2023, InfoQ.com

Google advances with vector search in MySQL, leapfrogging Oracle in LLM support
4 March 2024, The Register

provided by Google News

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

Qdrant offers managed vector database for hybrid clouds
16 April 2024, InfoWorld

Qdrant Hybrid Cloud is Now Available for OCI Customers: Managed Vector Search Engine for Data-Sensitive AI ...
16 April 2024, Oracle

Open-source vector database Qdrant launches hybrid cloud for enterprise AI apps
16 April 2024, SiliconANGLE News

Qdrant launches first vector database as a managed hybrid cloud
16 April 2024, VentureBeat

provided by Google News



Share this page

Featured Products

AllegroGraph logo

Graph Database Leader for AI Knowledge Graph Applications - The Most Secure Graph Database Available.
Free Download

RaimaDB logo

RaimaDB, embedded database for mission-critical applications. When performance, footprint and reliability matters.
Try RaimaDB for free.

Milvus logo

Vector database designed for GenAI, fully equipped for enterprise implementation.
Try Managed Milvus for Free

Datastax Astra logo

Bring all your data to Generative AI applications with vector search enabled by the most scalable
vector database available.
Try for Free

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Present your product here