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DBMS > DataFS vs. Datomic vs. Google Cloud Firestore vs. Stardog

System Properties Comparison DataFS vs. Datomic vs. Google Cloud Firestore vs. Stardog

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDatomic  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Datomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelObject oriented DBMSRelational DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitenewdatabase.comwww.datomic.comfirebase.google.com/­products/­firestorewww.stardog.com
Technical documentationdev.mobiland.com/­Overview.xspdocs.datomic.comfirebase.google.com/­docs/­firestoredocs.stardog.com
DeveloperMobiland AGCognitectGoogleStardog-Union
Initial release2018201220172010
Current release1.1.263, October 20221.0.7075, December 20237.3.0, May 2020
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJava
Server operating systemsWindowsAll OS with a Java VMhostedLinux
macOS
Windows
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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.nononono infoImport/export of XML data possible
Secondary indexesnoyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLnononoYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
RESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languages.Net
C
C#
C++
VB.Net
Clojure
Java
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, Firebase Rules & Cloud Functionsuser defined functions and aggregates, HTTP Server extensions in Java
Triggersno, except callback-events from server when changes happenedBy using transaction functionsyes, with Cloud Functionsyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnone infoBut extensive use of caching in the application peersShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integrityyesnonoyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes 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.noyes inforecommended only for testing and developmentyes
User concepts infoAccess controlWindows-ProfilenoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Access rights for users and roles

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More resources
DataFSDatomicGoogle Cloud FirestoreStardog
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