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DBMS > Datomic vs. Firebase Realtime Database

System Properties Comparison Datomic vs. Firebase Realtime Database

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.
Primary database modelRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.10
Rank#110  Overall
#57  Relational DBMS
Score11.00
Rank#41  Overall
#7  Document stores
Websitewww.datomic.comfirebase.google.com/­products/­realtime-database
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­database
DeveloperCognitectGoogle infoacquired by Google 2014
Initial release20122012
Current release0.9
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, Clojure
Server operating systemsAll OS with a Java VMhosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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.nono
Secondary indexesyesyes
SQL infoSupport of SQLnono
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'
TriggersBy using transaction functionsCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peers
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peers
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes
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 development
User concepts infoAccess controlnoyes, based on authentication and database rules

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DatomicFirebase Realtime Database
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