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DBMS > Datomic vs. NuoDB vs. Realm vs. Vitess

System Properties Comparison Datomic vs. NuoDB vs. Realm vs. Vitess

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonNuoDB  Xexclude from comparisonRealm  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityNuoDB is a webscale distributed database that supports SQL and ACID transactionsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Score0.82
Rank#209  Overall
#97  Relational DBMS
Websitewww.datomic.comwww.3ds.com/­nuodb-distributed-sql-databaserealm.iovitess.io
Technical documentationdocs.datomic.comdoc.nuodb.comrealm.io/­docsvitess.io/­docs
DeveloperCognitectDassault Systèmes infooriginally NuoDB, Inc.Realm, acquired by MongoDB in May 2019The Linux Foundation, PlanetScale
Initial release2012201320142013
Current release1.0.6735, June 202315.0.2, December 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infolimited edition freeOpen SourceOpen Source infoApache Version 2.0, commercial licenses available
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.
Implementation languageJava, ClojureC++Go
Server operating systemsAll OS with a Java VMhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Android
Backend: server-less
iOS
Windows
Docker
Linux
macOS
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoyesnoyes infowith proprietary extensions
APIs and other access methodsRESTful HTTP APIADO.NET
JDBC
ODBC
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesClojure
Java
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Java infowith Android only
Objective-C
React Native
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 infoTransaction FunctionsJava, SQLno inforuns within the applications so server-side scripts are unnecessaryyes infoproprietary syntax
TriggersBy using transaction functionsyesyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersdata is dynamically stored/cached on the nodes where it is read/writtennoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoManaged transparently by NuoDBnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynoyesnoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infotunable commit protocolACIDACID at shard level
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyes infotable locks or row locks depending on storage engine
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 developmentyes infoTemporary tableyes infoIn-Memory realmyes
User concepts infoAccess controlnoStandard SQL roles/ privileges, Administrative UsersyesUsers with fine-grained authorization concept infono user groups or roles

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DatomicNuoDBRealmVitess
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