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DBMS > Amazon DocumentDB vs. Firebase Realtime Database vs. TerminusDB

System Properties Comparison Amazon DocumentDB vs. Firebase Realtime Database vs. TerminusDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument storeDocument storeGraph DBMS
Secondary database modelsDocument store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score0.17
Rank#325  Overall
#29  Graph DBMS
Websiteaws.amazon.com/­documentdbfirebase.google.com/­products/­realtime-databaseterminusdb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesfirebase.google.com/­docs/­databaseterminusdb.github.io/­terminusdb/­#
DeveloperGoogle infoacquired by Google 2014DataChemist Ltd.
Initial release201920122018
Current release11.0.0, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageProlog, Rust
Server operating systemshostedhostedLinux
Data schemeschema-freeschema-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 indexesyesyes
SQL infoSupport of SQLnonoSQL-like query language (WOQL)
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Android
iOS
JavaScript API
RESTful HTTP API
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java
JavaScript
Objective-C
JavaScript
Python
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes
TriggersnoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesnoneGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nono
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 integrityno infotypically not used, however similar functionality with DBRef possiblenoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoin-memory journaling
User concepts infoAccess controlAccess rights for users and rolesyes, based on authentication and database rulesRole-based access control

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More resources
Amazon DocumentDBFirebase Realtime DatabaseTerminusDB infoformer name was DataChemist
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Vector search for Amazon DocumentDB (with MongoDB compatibility) is now generally available | Amazon Web Services
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15 April 2024, AWS Blog

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