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

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

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIRONdb  Xexclude from comparisonRDFox  Xexclude from comparisonSphinx  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded 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.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityHigh 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 storeTime Series DBMSGraph 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.circonus.com/solutions/time-series-database/www.oxfordsemantic.techsphinxsearch.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasedocs.circonus.com/irondb/category/getting-starteddocs.oxfordsemantic.techsphinxsearch.com/­docs
DeveloperGoogle infoacquired by Google 2014Circonus LLC.Oxford Semantic TechnologiesSphinx Technologies Inc.
Initial release20162012201720172001
Current releaseV0.10.20, January 20186.0, 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 servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC and C++C++C++
Server operating systemsLinuxhostedLinuxLinux
macOS
Windows
FreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeschema-freeyes infoRDF schemasyes
Typing infopredefined data types such as float or datenoyesyes infotext, numeric, histogramsyesno
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 indexesyesnoyes infofull-text index on all search fields
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)noSQL-like query language (SphinxQL)
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
HTTP APIRESTful HTTP API
SPARQL 1.1
Proprietary protocol
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
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'yes, in Luano
TriggersCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodeSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorconfigurable replication factor, datacenter awarereplication via a shared file systemnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency per node, eventual consistency across nodesImmediate 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.noyes
User concepts infoAccess controlyesyes, based on authentication and database rulesnoRoles, resources, and access typesno

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More resources
BigchainDBFirebase Realtime DatabaseIRONdbRDFoxSphinx
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