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

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

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonRDFox  Xexclude from comparisonSphinx  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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.An open source BigTable implementation based on distributed file systems such as HadoopHigh performance knowledge graph and semantic reasoning engineOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeDocument storeWide column storeGraph DBMS
RDF store
Search engine
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
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.comfirebase.google.com/­products/­realtime-databasewww.oxfordsemantic.techsphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasedocs.oxfordsemantic.techsphinxsearch.com/­docs
DeveloperGoogle infoacquired by Google 2014Hypertable Inc.Oxford Semantic TechnologiesSphinx Technologies Inc.
Initial release20162012200920172001
Current release0.9.8.11, March 20166.0, Septermber 20223.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++C++C++
Server operating systemsLinuxhostedLinux
OS X
Windows infoan inofficial Windows port is available
Linux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or datenoyesnoyesno
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.nono
Secondary indexesyesrestricted infoonly exact value or prefix value scansyes infofull-text index on all search fields
SQL infoSupport of SQLnonononoSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
RESTful HTTP API
SPARQL 1.1
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
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'nono
TriggersCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorselectable replication factor on file system levelreplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
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.yes
User concepts infoAccess controlyesyes, based on authentication and database rulesnoRoles, resources, and access typesno

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More resources
BigchainDBFirebase Realtime DatabaseHypertableRDFoxSphinx
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