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DBMS > Datomic vs. MySQL vs. ObjectBox vs. RethinkDB

System Properties Comparison Datomic vs. MySQL vs. ObjectBox vs. RethinkDB

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMySQL  Xexclude from comparisonObjectBox  Xexclude from comparisonRethinkDB  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityWidely used open source RDBMSExtremely fast embedded database for small devices, IoT and MobileDBMS for the Web with a mechanism to push updated query results to applications in realtime.
Primary database modelRelational DBMSRelational DBMS infoKey/Value like access via memcached APIObject oriented DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
Time Series DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score1083.74
Rank#2  Overall
#2  Relational DBMS
Score1.20
Rank#170  Overall
#5  Object oriented DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websitewww.datomic.comwww.mysql.comobjectbox.iorethinkdb.com
Technical documentationdocs.datomic.comdev.mysql.com/­docdocs.objectbox.iorethinkdb.com/­docs
DeveloperCognitectOracle infosince 2010, originally MySQL AB, then SunObjectBox LimitedThe Linux Foundation infosince July 2017
Initial release2012199520172009
Current release1.0.6735, June 20238.4.0, April 20242.4.1, August 2020
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGPL version 2. Commercial licenses with extended functionallity are availableOpen Source infoApache License 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenononono
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 languageJava, ClojureC and C++C and C++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
Solaris
Windows
Android
iOS
Linux
macOS
Windows
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, binary, float, bool, date, geometry
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.noyesnono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnono
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
Proprietary native API
Proprietary native API
Supported programming languagesClojure
Java
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C++
Dart
Go
Java
JavaScript infoplanned (as of Jan 2019)
Kotlin
Python infoplanned (as of Jan 2019)
Swift
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infoproprietary syntaxno
TriggersBy using transaction functionsyesnoClient-side triggers through changefeeds
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning, sharding with MySQL Cluster or MySQL FabricnoneSharding inforange based
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
online/offline synchronization between client and serverSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infonot for MyISAM storage engineyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infonot for MyISAM storage engineACIDAtomic single-document operations
Concurrency infoSupport for concurrent manipulation of datayesyes infotable locks or row locks depending on storage engineyesyes infoMVCC based
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyesnono
User concepts infoAccess controlnoUsers with fine-grained authorization concept infono user groups or rolesyesyes infousers and table-level permissions
More information provided by the system vendor
DatomicMySQLObjectBoxRethinkDB
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