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DBMS > Datomic vs. Microsoft Azure AI Search vs. ObjectBox vs. Realm vs. SQLite

System Properties Comparison Datomic vs. Microsoft Azure AI Search vs. ObjectBox vs. Realm vs. SQLite

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonObjectBox  Xexclude from comparisonRealm  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitySearch-as-a-service for web and mobile app developmentLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSSearch engineObject oriented DBMS
Vector DBMS
Document storeRelational DBMS
Secondary database modelsVector DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.55
Rank#144  Overall
#67  Relational DBMS
Score5.75
Rank#58  Overall
#7  Search engines
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score7.18
Rank#52  Overall
#8  Document stores
Score103.35
Rank#10  Overall
#7  Relational DBMS
Websitewww.datomic.comazure.microsoft.com/­en-us/­services/­searchgithub.com/­objectbox
objectbox.io
realm.iowww.sqlite.org
Technical documentationdocs.datomic.comlearn.microsoft.com/­en-us/­azure/­searchdocs.objectbox.iorealm.io/­docswww.sqlite.org/­docs.html
DeveloperCognitectMicrosoftObjectBox LimitedRealm, acquired by MongoDB in May 2019Dwayne Richard Hipp
Initial release20122015201720142000
Current release1.0.7180, July 2024V14.0 (May 2024)3.46.1  (13 August 2024), August 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialBindings are released under Apache 2.0 infoApache License 2.0Open SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and C++C
Server operating systemsAll OS with a Java VMhostedAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Android
Backend: server-less
iOS
Windows
server-less
Data schemeyesyesyesyesyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyes, plus "flex" map-like typesyesyes infonot rigid because of 'dynamic typing' concept.
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.nonononono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnonononoyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIProprietary native APIADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesClojure
Java
C#
Java
JavaScript
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net
Java infowith Android only
Objective-C
React Native
Swift
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyes infoTransaction Functionsnonono inforuns within the applications so server-side scripts are unnecessaryno
TriggersBy using transaction functionsnonoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud servicenonenonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud serviceData sync between devices allowing occasional connected databases to work completely offlinenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyesyes
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 developmentnonoyes infoIn-Memory realmyes
User concepts infoAccess controlnoyes infousing Azure authenticationyesyesno
More information provided by the system vendor
DatomicMicrosoft Azure AI SearchObjectBoxRealmSQLite
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
DatomicMicrosoft Azure AI SearchObjectBoxRealmSQLite
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