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DBMS > BigchainDB vs. Cubrid vs. Firebase Realtime Database vs. RDFox vs. Splice Machine

System Properties Comparison BigchainDB vs. Cubrid vs. Firebase Realtime Database vs. RDFox vs. Splice Machine

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonCubrid  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRDFox  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.High performance knowledge graph and semantic reasoning engineOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument storeRelational DBMSDocument storeGraph DBMS
RDF store
Relational DBMS
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
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score0.54
Rank#252  Overall
#115  Relational DBMS
Websitewww.bigchaindb.comcubrid.com (korean)
cubrid.org (english)
firebase.google.com/­products/­realtime-databasewww.oxfordsemantic.techsplicemachine.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestcubrid.org/­manualsfirebase.google.com/­docs/­databasedocs.oxfordsemantic.techsplicemachine.com/­how-it-works
DeveloperCUBRID Corporation, CUBRID FoundationGoogle infoacquired by Google 2014Oxford Semantic TechnologiesSplice Machine
Initial release20162008201220172014
Current release11.0, January 20216.0, Septermber 20223.1, March 2021
License infoCommercial or Open SourceOpen Source infoAGPL v3Open Source infoApache Version 2.0commercialcommercialOpen Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languagePythonC, C++, JavaC++Java
Server operating systemsLinuxLinux
Windows
hostedLinux
macOS
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-freeyes infoRDF schemasyes
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyesnonoyes
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
JDBC
ODBC
OLE DB
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
JDBC
Native Spark Datasource
ODBC
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
JavaScript
Objective-C
C
Java
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresJava Stored Procedureslimited functionality with using 'rules'yes infoJava
TriggersyesCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationreplication via a shared file systemMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integration
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 Consistency in stand-alone mode, Eventual Consistency in replicated setupsImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.noyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standardyes, based on authentication and database rulesRoles, resources, and access typesAccess rights for users, groups and roles according to SQL-standard

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More resources
BigchainDBCubridFirebase Realtime DatabaseRDFoxSplice Machine
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