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DBMS > BigchainDB vs. DataFS vs. Firebase Realtime Database vs. RDFox vs. Sphinx

System Properties Comparison BigchainDB vs. DataFS vs. Firebase Realtime Database vs. RDFox vs. Sphinx

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonDataFS  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonRDFox  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Cloud-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 search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeObject oriented DBMSDocument storeGraph DBMS
RDF store
Search engine
Secondary database modelsGraph DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.85
Rank#208  Overall
#35  Document stores
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score5.95
Rank#55  Overall
#5  Search engines
Websitewww.bigchaindb.comnewdatabase.comfirebase.google.com/­products/­realtime-databasewww.oxfordsemantic.techsphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestdev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­databasedocs.oxfordsemantic.techsphinxsearch.com/­docs
DeveloperMobiland AGGoogle infoacquired by Google 2014Oxford Semantic TechnologiesSphinx Technologies Inc.
Initial release20162018201220172001
Current release1.1.263, October 20226.0, Septermber 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialcommercialOpen Source infoGPL version 2, commercial licence 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++
Server operating systemsLinuxWindowshostedLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or datenoyesyesyesno
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 indexesnoyesyes infofull-text index on all search fields
SQL infoSupport of SQLnonononoSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
.NET Client API
Proprietary client DLL
WinRT client
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
.Net
C
C#
C++
VB.Net
Java
JavaScript
Objective-C
C
Java
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored procedureslimited functionality with using 'rules'no
Triggersno, except callback-events from server when changes happenedCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesShardingProprietary Sharding systemSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 setups
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlyesWindows-Profileyes, based on authentication and database rulesRoles, resources, and access typesno

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More resources
BigchainDBDataFSFirebase Realtime DatabaseRDFoxSphinx
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