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

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

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDatabricks  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.Cloud-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 knowledge graph and semantic reasoning engine
Primary database modelDocument storeDocument store
Relational DBMS
Document storeDocument storeGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score81.08
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.bigchaindb.comwww.databricks.comfirebase.google.com/­products/­realtime-databasefirebase.google.com/­products/­firestorewww.oxfordsemantic.tech
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.databricks.comfirebase.google.com/­docs/­databasefirebase.google.com/­docs/­firestoredocs.oxfordsemantic.tech
DeveloperDatabricksGoogle infoacquired by Google 2014GoogleOxford Semantic Technologies
Initial release20162013201220172017
Current release6.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++
Server operating systemsLinuxhostedhostedhostedLinux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or datenoyesyesyes
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.noyesnono
Secondary indexesyesyesyes
SQL infoSupport of SQLnowith Databricks SQLnonono
APIs and other access methodsCLI Client
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Python
R
Scala
Java
JavaScript
Objective-C
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
Java
Server-side scripts infoStored proceduresuser defined functions and aggregateslimited functionality with using 'rules'yes, Firebase Rules & Cloud Functions
TriggersCallbacks are triggered when data changesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesyesACID
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.noyes
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.Roles, resources, and access types
More information provided by the system vendor
BigchainDBDatabricksFirebase Realtime DatabaseGoogle Cloud FirestoreRDFox
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
BigchainDBDatabricksFirebase Realtime DatabaseGoogle Cloud FirestoreRDFox
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