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DBMS > BigchainDB vs. Firebase Realtime Database vs. HugeGraph vs. RDFox vs. Riak KV

System Properties Comparison BigchainDB vs. Firebase Realtime Database vs. HugeGraph vs. RDFox vs. Riak KV

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHugeGraph  Xexclude from comparisonRDFox  Xexclude from comparisonRiak KV  Xexclude from comparison
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 fast-speed and highly-scalable Graph DBMSHigh performance knowledge graph and semantic reasoning engineDistributed, fault tolerant key-value store
Primary database modelDocument storeDocument storeGraph DBMSGraph DBMS
RDF store
Key-value store infowith links between data sets and object tags for the creation of secondary indexes
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
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Score4.01
Rank#79  Overall
#9  Key-value stores
Websitewww.bigchaindb.comfirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
www.oxfordsemantic.tech
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasehugegraph.apache.org/­docsdocs.oxfordsemantic.techwww.tiot.jp/­riak-docs/­riak/­kv/­latest
DeveloperGoogle infoacquired by Google 2014BaiduOxford Semantic TechnologiesOpenSource, formerly Basho Technologies
Initial release20162012201820172009
Current release0.96.0, Septermber 20223.2.0, December 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2.0commercialOpen Source infoApache version 2, commercial enterprise edition
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 languagePythonJavaC++Erlang
Server operating systemsLinuxhostedLinux
macOS
Unix
Linux
macOS
Windows
Linux
OS X
Data schemeschema-freeschema-freeyesyes infoRDF schemasschema-free
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.nononono
Secondary indexesyesyes infoalso supports composite index and range indexrestricted
SQL infoSupport of SQLnonononono
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP API
SPARQL 1.1
HTTP API
Native Erlang Interface
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
Groovy
Java
Python
C
Java
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
Server-side scripts infoStored procedureslimited functionality with using 'rules'asynchronous Gremlin script jobsErlang
TriggersCallbacks are triggered when data changesnoyes infopre-commit hooks and post-commit hooks
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infono "single point of failure"
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBasereplication via a shared file systemselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setupsEventual Consistency
Foreign keys infoReferential integritynonoyes infoedges in graphno infolinks between data sets can be stored
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
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.yesyes
User concepts infoAccess controlyesyes, based on authentication and database rulesUsers, roles and permissionsRoles, resources, and access typesyes, using Riak Security

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More resources
BigchainDBFirebase Realtime DatabaseHugeGraphRDFoxRiak KV
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