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DBMS > EventStoreDB vs. MongoDB vs. MySQL

System Properties Comparison EventStoreDB vs. MongoDB vs. MySQL

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Editorial information provided by DB-Engines
NameEventStoreDB  Xexclude from comparisonMongoDB  Xexclude from comparisonMySQL  Xexclude from comparison
DescriptionIndustrial-strength, open-source database solution built from the ground up for event sourcing.One 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 modelEvent StoreDocument storeRelational DBMS infoKey/Value like access via memcached API
Secondary database modelsSpatial DBMS
Search engine infointegrated Lucene index, currently in MongoDB Atlas only.
Time Series DBMS infoTime Series Collections introduced in Release 5.0
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.13
Rank#192  Overall
#1  Event Stores
Score477.90
Rank#5  Overall
#1  Document stores
Score1205.54
Rank#2  Overall
#2  Relational DBMS
Websitewww.eventstore.comwww.mongodb.comwww.mysql.com
Technical documentationdevelopers.eventstore.comdocs.mongodb.com/­manualdev.mysql.com/­doc
DeveloperEvent Store LimitedMongoDB, IncOracle infosince 2010, originally MySQL AB, then Sun
Initial release201220091995
Current release21.2, February 20216.0.1, August 20228.0.31, October 2022
License infoCommercial or Open SourceOpen SourceOpen 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 servicenono 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.
ScaleGrid for MongoDB Database: Fully managed hosting for MongoDB Database on a wide variety of cloud providers and On-Premises. Automate your management, scaling and backups through one centralized platform.ScaleGrid for MySQL: Fully managed MySQL hosting On-Premises and on a wide variety of cloud providers. Easily deploy, monitor, provision, and scale your deployments in the cloud.
Implementation languageC++C and C++
Server operating systemsLinux
Windows
Linux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-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 dateyes 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.yes
Secondary indexesyesyes
SQL infoSupport of SQLRead-only SQL queries via the MongoDB Connector for BIyes infowith proprietary extensions
APIs and other access methodsproprietary protocol using JSONADO.NET
JDBC
ODBC
Proprietary native API
Supported programming languagesActionscript 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
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 proceduresJavaScriptyes infoproprietary syntax
Triggersyes infoin MongoDB Atlas onlyyes
Partitioning methods infoMethods for storing different data on different nodesSharding 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 deployments with MongoDB Atlas Global Clusters
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Immediate Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integrityno 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 dataMulti-document ACID Transactions with snapshot isolationACID infonot for MyISAM storage engine
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyes infooptional, enabled by defaultyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infoIn-memory storage engine introduced with MongoDB version 3.2yes
User concepts infoAccess controlAccess rights for users and rolesUsers with fine-grained authorization concept infono user groups or roles

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