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

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

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonManticore Search  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonRDFox  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.Multi-storage database for search, including full-text search.Search-as-a-service for web and mobile app developmentHigh performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSDocument storeSearch engineSearch engineGraph DBMS
RDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar LibraryVector DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score0.22
Rank#312  Overall
#21  Search engines
Score5.59
Rank#63  Overall
#7  Search engines
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.datomic.comfirebase.google.com/­products/­realtime-databasemanticoresearch.comazure.microsoft.com/­en-us/­services/­searchwww.oxfordsemantic.tech
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­databasemanual.manticoresearch.comlearn.microsoft.com/­en-us/­azure/­searchdocs.oxfordsemantic.tech
DeveloperCognitectGoogle infoacquired by Google 2014Manticore SoftwareMicrosoftOxford Semantic Technologies
Initial release20122012201720152017
Current release1.0.6735, June 20236.0, February 2023V16.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoGPL version 2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++C++
Server operating systemsAll OS with a Java VMhostedFreeBSD
Linux
macOS
Windows
hostedLinux
macOS
Windows
Data schemeyesschema-freeFixed schemayesyes infoRDF schemas
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyesyes
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.nonoCan index from XMLno
Secondary indexesyesyesyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLnonoSQL-like query languagenono
APIs and other access methodsRESTful HTTP APIAndroid
iOS
JavaScript API
RESTful HTTP API
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
RESTful HTTP APIRESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
Java
Java
JavaScript
Objective-C
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
C#
Java
JavaScript
Python
C
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionslimited functionality with using 'rules'user defined functionsno
TriggersBy using transaction functionsCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSynchronous replication based on Galera libraryyes infoImplicit feature of the cloud servicereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyes infoisolated transactions for atomic changes and binary logging for safe writesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes infoThe original contents of fields are not stored in the Manticore index.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 developmentnoyes
User concepts infoAccess controlnoyes, based on authentication and database rulesnoyes infousing Azure authenticationRoles, resources, and access types

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More resources
DatomicFirebase Realtime DatabaseManticore SearchMicrosoft Azure AI SearchRDFox
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