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DBMS > Google Cloud Firestore vs. HugeGraph vs. RDFox

System Properties Comparison Google Cloud Firestore vs. HugeGraph vs. RDFox

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonHugeGraph  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionCloud 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.A fast-speed and highly-scalable Graph DBMSHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeGraph DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitefirebase.google.com/­products/­firestoregithub.com/­hugegraph
hugegraph.apache.org
www.oxfordsemantic.tech
Technical documentationfirebase.google.com/­docs/­firestorehugegraph.apache.org/­docsdocs.oxfordsemantic.tech
DeveloperGoogleBaiduOxford Semantic Technologies
Initial release201720182017
Current release0.96.0, Septermber 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++
Server operating systemshostedLinux
macOS
Unix
Linux
macOS
Windows
Data schemeschema-freeyesyes infoRDF schemas
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.nono
Secondary indexesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnonono
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
C
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsasynchronous Gremlin script jobs
Triggersyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBasereplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflowvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissionsRoles, resources, and access types

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More resources
Google Cloud FirestoreHugeGraphRDFox
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