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DBMS > BigchainDB vs. Faircom EDGE vs. Firebase Realtime Database vs. Hazelcast vs. RDFox

System Properties Comparison BigchainDB vs. Faircom EDGE vs. Firebase Realtime Database vs. Hazelcast vs. RDFox

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHazelcast  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A widely adopted in-memory data gridHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeKey-value store
Relational DBMS
Document storeKey-value storeGraph DBMS
RDF store
Secondary database modelsDocument store infoJSON support with IMDG 3.12Relational 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#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.bigchaindb.comwww.faircom.com/­products/­faircom-edgefirebase.google.com/­products/­realtime-databasehazelcast.comwww.oxfordsemantic.tech
Technical documentationbigchaindb.readthedocs.io/­en/­latestdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlfirebase.google.com/­docs/­databasehazelcast.org/­imdg/­docsdocs.oxfordsemantic.tech
DeveloperFairCom CorporationGoogle infoacquired by Google 2014HazelcastOxford Semantic Technologies
Initial release20161979201220082017
Current releaseV3, October 20205.3.6, November 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercial infoRestricted, free version availablecommercialOpen Source infoApache Version 2; commercial licenses availablecommercial
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonANSI C, C++JavaC++
Server operating systemsLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
hostedAll OS with a Java VMLinux
macOS
Windows
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)schema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesyesyes
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.noyesnoyes infothe object must implement a serialization strategy
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infoANSI SQL queriesnoSQL-like query languageno
APIs and other access methodsCLI Client
RESTful HTTP API
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Java
JavaScript
Objective-C
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
Java
Server-side scripts infoStored proceduresyes info.Net, JavaScript, C/C++limited functionality with using 'rules'yes infoEvent Listeners, Executor Services
TriggersyesCallbacks are triggered when data changesyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingFile partitioning infoCustomizable business rules for partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoReplicated Mapreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Tunable Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesone or two-phase-commit; repeatable reads; read commitedACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
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.yesyesyes
User concepts infoAccess controlyesFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.yes, based on authentication and database rulesRole-based access controlRoles, resources, and access types

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More resources
BigchainDBFaircom EDGE infoformerly c-treeEDGEFirebase Realtime DatabaseHazelcastRDFox
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