DB-EnginesExtremeDB for everyone with an RTOSEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > MariaDB vs. Microsoft Azure Table Storage vs. MongoDB vs. MySQL

System Properties Comparison MariaDB vs. Microsoft Azure Table Storage vs. MongoDB vs. MySQL

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameMariaDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonMongoDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionMySQL application compatible open source RDBMS, enhanced with high availability, security, interoperability and performance capabilities. MariaDB ColumnStore provides a column-oriented storage engine and MariaDB Xpand supports distributed SQL.A Wide Column Store for rapid development using massive semi-structured datasetsOne of the most popular document stores available both as a fully managed cloud service and for deployment on self-managed infrastructureWidely used open source RDBMS
Primary database modelRelational DBMSWide column storeDocument storeRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsDocument store
Graph DBMS infowith OQGraph storage engine
Spatial DBMS
Spatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Vector DBMS infocurrently available in the MongoDB Atlas cloud service only
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score93.21
Rank#13  Overall
#9  Relational DBMS
Score4.48
Rank#75  Overall
#6  Wide column stores
Score421.65
Rank#5  Overall
#1  Document stores
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Websitemariadb.com infoSite of MariaDB Corporation
mariadb.org infoSite of MariaDB Foundation
azure.microsoft.com/­en-us/­services/­storage/­tableswww.mongodb.comwww.mysql.com
Technical documentationmariadb.com/­kb/­en/­librarywww.mongodb.com/­docs/­manualdev.mysql.com/­doc
DeveloperMariaDB Corporation Ab (MariaDB Enterprise),
MariaDB Foundation (community MariaDB Server) infoThe lead developer Monty Widenius is the original author of MySQL
MicrosoftMongoDB, IncOracle infosince 2010, originally MySQL AB, then Sun
Initial release2009 infoFork of MySQL, which was first released in 1995201220091995
Current release11.3.2, February 20246.0.7, June 20238.4.0, April 2024
License infoCommercial or Open SourceOpen Source infoGPL version 2, commercial enterprise subscription availablecommercialOpen Source infoMongoDB Inc.'s Server Side Public License v1. Prior versions were published under GNU AGPL v3.0. Commercial licenses are also available.Open Source infoGPL version 2. Commercial licenses with extended functionallity are available
Cloud-based only infoOnly available as a cloud servicenoyesno infoMongoDB available as DBaaS (MongoDB Atlas)no
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT MariaDB offers MariaDB in a fully managed version in enterprise grade, 100% GDPR-compliant.
  • MongoDB Atlas: Global multi-cloud database with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more.
  • MongoDB Flex @ STACKIT offers managed MongoDB Instances with adjustable CPU, RAM, storage amount and speed, in enterprise grade to perfectly match all application requirements. All services are 100% GDPR-compliant.
Aiven for MySQL: Fully managed MySQL, deployable in the cloud of your choice, with seamless integrations and lightning-fast setup.
Implementation languageC and C++C++C and C++
Server operating systemsFreeBSD
Linux
Solaris
Windows infoColumnStore storage engine not available on Windows
hostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeyes infoDynamic columns are supportedschema-freeschema-free infoAlthough schema-free, documents of the same collection often follow the same structure. Optionally impose all or part of a schema by defining a JSON schema.yes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, decimal, boolean, date, object_id, geospatialyes
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.yesnoyes
Secondary indexesyesnoyesyes
SQL infoSupport of SQLyes infowith proprietary extensionsnoRead-only SQL queries via the MongoDB Atlas SQL Interfaceyes infowith proprietary extensions
APIs and other access methodsADO.NET
JDBC
ODBC
Proprietary native API
RESTful HTTP APIGraphQL
HTTP REST
Prisma
proprietary protocol using JSON
ADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesAda
C
C#
C++
D
Eiffel
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Actionscript infounofficial driver
C
C#
C++
Clojure infounofficial driver
ColdFusion infounofficial driver
D infounofficial driver
Dart infounofficial driver
Delphi infounofficial driver
Erlang
Go
Groovy infounofficial driver
Haskell
Java
JavaScript
Kotlin
Lisp infounofficial driver
Lua infounofficial driver
MatLab infounofficial driver
Perl
PHP
PowerShell infounofficial driver
Prolog infounofficial driver
Python
R infounofficial driver
Ruby
Rust
Scala
Smalltalk infounofficial driver
Swift
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 proceduresyes infoPL/SQL compatibility added with version 10.3noJavaScriptyes infoproprietary syntax
Triggersyesnoyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesseveral options for horizontal partitioning and ShardingSharding infoImplicit feature of the cloud serviceSharding infoPartitioned by hashed, ranged, or zoned sharding keys. Live resharding allows users to change their shard keys as an online operation with zero downtime.horizontal partitioning, sharding with MySQL Cluster or MySQL Fabric
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
yes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-Source deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infocan be individually decided for each read operation
Immediate Consistency infodefault behaviour
Immediate Consistency
Foreign keys infoReferential integrityyes infonot for MyISAM storage enginenono infotypically not used, however similar functionality with DBRef possibleyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infonot for MyISAM storage engineoptimistic lockingMulti-document ACID Transactions with snapshot isolationACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infonot for in-memory storage engineyesyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infowith MEMORY storage enginenoyes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signaturesAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles
More information provided by the system vendor
MariaDBMicrosoft Azure Table StorageMongoDBMySQL
Specific characteristicsMariaDB is the most powerful open source relational database – modern SQL and JSON...
» more
MongoDB provides an integrated suite of cloud database and data services to accelerate...
» more
Competitive advantagesMariaDB Servers have many features unavailable in other open source relational databases....
» more
Built around the flexible document data model and unified API, MongoDB is a developer...
» more
Typical application scenariosWeb, SaaS and Cloud operational applications that require high availability, scalability...
» more
AI-enriched intelligent apps (Continental, Telefonica, Iron Mountain) Internet of...
» more
Key customersDeutsche Bank, DBS Bank, Nasdaq, Red Hat, ServiceNow, Verizon and Walgreens Featured...
» more
ADP, Adobe, Amadeus, AstraZeneca, Auto Trader, Barclays, BBVA, Bosch, Cisco, CERN,...
» more
Market metricsMariaDB is the default database in the LAMP stack supplied by Red Hat and SUSE Linux,...
» more
Hundreds of millions downloads, over 150,000+ Atlas clusters provisioned every month...
» more
Licensing and pricing modelsMariaDB plc subscriptions cover our free, open source database, Community Server,...
» more
MongoDB database server: Server-Side Public License (SSPL) . Commercial licenses...
» 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 partiesNavicat for MariaDB provides a native environment for MariaDB database management and development.
» more
Navicat for MongoDB gives you a highly effective GUI interface for MongoDB database management, administration and development.
» more

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

Studio 3T: The world's favorite IDE for working with MongoDB
» 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

Aiven 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

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
MariaDBMicrosoft Azure Table StorageMongoDBMySQL
DB-Engines blog posts

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

PostgreSQL is the DBMS of the Year 2017
2 January 2018, Paul Andlinger, Matthias Gelbmann

Big gains for Relational Database Management Systems in DB-Engines Ranking
2 February 2016, Matthias Gelbmann

show all

Snowflake is the DBMS of the Year 2021
3 January 2022, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2020
4 January 2021, Paul Andlinger, Matthias Gelbmann

PostgreSQL is the DBMS of the Year 2018
2 January 2019, Paul Andlinger, 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

RECOMMENDED CASH OFFER for MARIADB PLC by MERIDIAN BIDCO LLC which is an Affiliate of K1 INVESTMENT ...
24 May 2024, PR Newswire

Private equity offer for MariaDB gets thumbsup from shareholders
21 May 2024, The Register

MariaDB plc: Shareholders speak, but execs are quiet
22 May 2024, InfoWorld

MariaDB (NYSE:MRDB) Shares Up 1.1%
24 May 2024, Defense World

MariaDB shareholders approve private equity takeover
22 May 2024, Computing

provided by Google News

Working with Azure to Use and Manage Data Lakes
7 March 2024, Simplilearn

Azure Cosmos DB Data Migration tool imports from Azure Table storage | Azure updates
5 May 2015, Microsoft

How to Use C# Azure.Data.Tables SDK with Azure Cosmos DB
9 July 2021, hackernoon.com

How to use Azure Table storage in .Net
14 January 2019, InfoWorld

How to write data to Azure Table Store with an Azure Function
14 April 2017, Experts Exchange

provided by Google News

Top MongoDB Interview Questions and Answers
21 May 2024, Simplilearn

Loss-Making MongoDB, Inc. (NASDAQ:MDB) Expected To Breakeven In The Medium-Term
23 May 2024, Yahoo Finance

MongoDB Furthers Commitment to Security and Compliance with New Industry Certifications
23 May 2024, PR Newswire

MongoDB (NASDAQ:MDB) Shares Down 2.8%
24 May 2024, MarketBeat

MongoDB Stock Sinks As Market Gains: Here's Why
21 May 2024, Markets Insider

provided by Google 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, blogs.oracle.com

Ultimate MySQL Workbench Installation Guide [2024 Edition]
15 February 2024, Simplilearn

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

How to Create a MySQL 8 Database User With Remote Access
4 January 2024, TechRepublic

provided by Google News



Share this page

Featured Products

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

Milvus logo

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

Neo4j logo

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

RaimaDB logo

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

SingleStore logo

Build AI apps with Vectors on SQL and JSON with milliseconds response times.
Try it today.

Present your product here