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DBMS > FeatureBase vs. Firebase Realtime Database vs. Google Cloud Datastore vs. OrigoDB

System Properties Comparison FeatureBase vs. Firebase Realtime Database vs. Google Cloud Datastore vs. OrigoDB

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Editorial information provided by DB-Engines
NameFeatureBase  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonOrigoDB  Xexclude from comparison
DescriptionReal-time database platform that powers real-time analytics and machine learning applications by simultaneously executing low-latency, high-throughput, and highly concurrent workloads.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA fully ACID in-memory object graph database
Primary database modelRelational DBMSDocument storeDocument storeDocument store
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#292  Overall
#135  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score4.36
Rank#72  Overall
#12  Document stores
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Websitewww.featurebase.comfirebase.google.com/­products/­realtime-databasecloud.google.com/­datastoreorigodb.com
Technical documentationdocs.featurebase.comfirebase.google.com/­docs/­databasecloud.google.com/­datastore/­docsorigodb.com/­docs
DeveloperMolecula and Pilosa Open Source ContributorsGoogle infoacquired by Google 2014GoogleRobert Friberg et al
Initial release2017201220082009 infounder the name LiveDB
Current release2022, May 2022
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC#
Server operating systemsLinux
macOS
hostedhostedLinux
Windows
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes, details hereUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesnoyesyesyes
SQL infoSupport of SQLSQL queriesnoSQL-like query language (GQL)no
APIs and other access methodsgRPC
JDBC
Kafka Connector
ODBC
Android
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
.NET Client API
HTTP API
LINQ
Supported programming languagesJava
Python
Java
JavaScript
Objective-C
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Server-side scripts infoStored procedureslimited functionality with using 'rules'using Google App Engineyes
TriggersnoCallbacks are triggered when data changesCallbacks using the Google Apps Engineyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning infoclient side managed; servers are not synchronized
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication using PaxosSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate 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.
Foreign keys infoReferential integrityyesnoyes infovia ReferenceProperties or Ancestor pathsdepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes, using Linux fsyncyesyesyes infoWrite ahead log
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Role based authorization

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More resources
FeatureBaseFirebase Realtime DatabaseGoogle Cloud DatastoreOrigoDB
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