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DBMS > Datomic vs. Fauna vs. Geode vs. Google Cloud Firestore vs. RDFox

System Properties Comparison Datomic vs. Fauna vs. Geode vs. Google Cloud Firestore vs. RDFox

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonGeode  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Geode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesCloud 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.High performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSDocument store
Graph DBMS
Relational DBMS
Time Series DBMS
Key-value storeDocument storeGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score1.55
Rank#151  Overall
#26  Document stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Score1.86
Rank#134  Overall
#24  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.datomic.comfauna.comgeode.apache.orgfirebase.google.com/­products/­firestorewww.oxfordsemantic.tech
Technical documentationdocs.datomic.comdocs.fauna.comgeode.apache.org/­docsfirebase.google.com/­docs/­firestoredocs.oxfordsemantic.tech
DeveloperCognitectFauna, Inc.Originally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleOxford Semantic Technologies
Initial release20122014200220172017
Current release1.0.7075, December 20231.1, February 20176.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2; commercial licenses available as Gemfirecommercialcommercial
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, ClojureScalaJavaC++
Server operating systemsAll OS with a Java VMhostedAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedLinux
macOS
Windows
Data schemeyesschema-freeschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or dateyesnoyesyesyes
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
Secondary indexesyesyesnoyes
SQL infoSupport of SQLnonoSQL-like query language (OQL)nono
APIs and other access methodsRESTful HTTP APIRESTful HTTP APIJava Client API
Memcached protocol
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
Java
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
All JVM based languages
C++
Groovy
Java
Scala
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsuser defined functionsuser defined functionsyes, Firebase Rules & Cloud Functions
TriggersBy using transaction functionsnoyes infoCache Event Listenersyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peershorizontal partitioning infoconsistent hashingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replicationMulti-source replicationMulti-source replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyes, on a single nodeyesACID
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)yesyesyesyes
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 developmentnoyesyes
User concepts infoAccess controlnoIdentity management, authentication, and access controlAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Roles, resources, and access types

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More resources
DatomicFauna infopreviously named FaunaDBGeodeGoogle Cloud FirestoreRDFox
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