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DBMS > Google Cloud Datastore vs. Google Cloud Firestore vs. HugeGraph vs. Oracle Rdb vs. Realm

System Properties Comparison Google Cloud Datastore vs. Google Cloud Firestore vs. HugeGraph vs. Oracle Rdb vs. Realm

Editorial information provided by DB-Engines
NameGoogle Cloud Datastore  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Rdb  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformCloud 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 DBMSA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument storeDocument storeGraph DBMSRelational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.47
Rank#76  Overall
#12  Document stores
Score7.85
Rank#51  Overall
#8  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score7.60
Rank#52  Overall
#9  Document stores
Websitecloud.google.com/­datastorefirebase.google.com/­products/­firestoregithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­rdb.htmlrealm.io
Technical documentationcloud.google.com/­datastore/­docsfirebase.google.com/­docs/­firestorehugegraph.apache.org/­docswww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlrealm.io/­docs
DeveloperGoogleGoogleBaiduOracle, originally developed by Digital Equipment Corporation (DEC)Realm, acquired by MongoDB in May 2019
Initial release20082017201819842014
Current release0.97.4.1.1, 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0commercialOpen Source
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava
Server operating systemshostedhostedLinux
macOS
Unix
HP Open VMSAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes, details hereyesyesyesyes
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.nonononono
Secondary indexesyesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like query language (GQL)nonoyesno
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresusing Google App Engineyes, Firebase Rules & Cloud Functionsasynchronous Gremlin script jobsno inforuns within the applications so server-side scripts are unnecessary
TriggersCallbacks using the Google Apps Engineyes, with Cloud Functionsnoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication using PaxosMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBasenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infousing Google Cloud DataflowUsing Cloud Dataflowvia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate ConsistencyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infovia ReferenceProperties or Ancestor pathsnoyes infoedges in graphyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsyesACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesnoyes infoIn-Memory realm
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Access 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 permissionsyes

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More resources
Google Cloud DatastoreGoogle Cloud FirestoreHugeGraphOracle RdbRealm
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