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DBMS > BigchainDB vs. Firebase Realtime Database vs. Google Cloud Firestore vs. Kdb vs. RDFox

System Properties Comparison BigchainDB vs. Firebase Realtime Database vs. Google Cloud Firestore vs. Kdb vs. RDFox

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonKdb  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Cloud 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 Time Series DBMSHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeDocument storeDocument storeTime Series DBMS
Vector DBMS
Graph DBMS
RDF store
Secondary database modelsRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score13.64
Rank#39  Overall
#6  Document stores
Score7.36
Rank#53  Overall
#9  Document stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.bigchaindb.comfirebase.google.com/­products/­realtime-databasefirebase.google.com/­products/­firestorekx.comwww.oxfordsemantic.tech
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasefirebase.google.com/­docs/­firestorecode.kx.comdocs.oxfordsemantic.tech
DeveloperGoogle infoacquired by Google 2014GoogleKx Systems, a division of First Derivatives plcOxford Semantic Technologies
Initial release2016201220172000 infokdb was released 2000, kdb+ in 20032017
Current release3.6, May 20186.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialcommercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonqC++
Server operating systemsLinuxhostedhostedLinux
OS X
Solaris
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nononoyes
Secondary indexesyesyesyes infotable attribute 'grouped'
SQL infoSupport of SQLnononoSQL-like query language (q)no
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes, Firebase Rules & Cloud Functionsuser defined functions
TriggersCallbacks are triggered when data changesyes, with Cloud Functionsyes infowith views
Partitioning methods infoMethods for storing different data on different nodesShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationSource-replica replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflowno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.rights management via user accountsRoles, resources, and access types
More information provided by the system vendor
BigchainDBFirebase Realtime DatabaseGoogle Cloud FirestoreKdbRDFox
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
BigchainDBFirebase Realtime DatabaseGoogle Cloud FirestoreKdbRDFox
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