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DBMS > Datomic vs. Firebase Realtime Database vs. Microsoft Azure AI Search

System Properties Comparison Datomic vs. Firebase Realtime Database vs. Microsoft Azure AI Search

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonMicrosoft Azure AI Search  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.Search-as-a-service for web and mobile app development
Primary database modelRelational DBMSDocument storeSearch engine
Secondary database modelsVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score15.00
Rank#39  Overall
#6  Document stores
Score5.71
Rank#64  Overall
#8  Search engines
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databaseazure.microsoft.com/­en-us/­services/­search
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databaselearn.microsoft.com/­en-us/­azure/­search
DeveloperCognitectGoogle infoacquired by Google 2014Microsoft
Initial release201220122015
Current release1.0.6735, June 2023V1
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, Clojure
Server operating systemsAll OS with a Java VMhostedhosted
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesyesyes
SQL infoSupport of SQLnonono
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'no
TriggersBy using transaction functionsCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
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 developmentno
User concepts infoAccess controlnoyes, based on authentication and database rulesyes infousing Azure authentication

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More resources
DatomicFirebase Realtime DatabaseMicrosoft Azure AI Search
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