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DBMS > Apache HugeGraph vs. Google Cloud Firestore

System Properties Comparison Apache HugeGraph vs. Google Cloud Firestore

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Our visitors often compare Apache HugeGraph and Google Cloud Firestore with Neo4j, PostgreSQL and Dgraph.

Editorial information provided by DB-Engines
NameApache HugeGraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionA fast-speed and highly-scalable Graph DBMSCloud 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.
Primary database modelGraph DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.18
Rank#318  Overall
#27  Graph DBMS
Score7.51
Rank#43  Overall
#7  Document stores
Websitegithub.com/­hugegraph
hugegraph.apache.org
firebase.google.com/­products/­firestore
Technical documentationhugegraph.apache.org/­docsfirebase.google.com/­docs/­firestore
DeveloperBaiduGoogle
Initial release20182017
Current release0.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava
Server operating systemsLinux
macOS
Unix
hosted
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes
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 indexesyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLnono
APIs and other access methodsJava API
RESTful HTTP API
TinkerPop Gremlin
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesGroovy
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresasynchronous Gremlin script jobsyes, Firebase Rules & Cloud Functions
Triggersnoyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsvia hugegraph-sparkUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlUsers, roles and permissionsAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Apache HugeGraphGoogle Cloud Firestore
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