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DBMS > BigchainDB vs. Firebase Realtime Database vs. GigaSpaces vs. Hazelcast vs. RDFox

System Properties Comparison BigchainDB vs. Firebase Realtime Database vs. GigaSpaces vs. Hazelcast vs. RDFox

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonHazelcast  Xexclude from comparisonRDFox  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA widely adopted in-memory data gridHigh performance knowledge graph and semantic reasoning engine
Primary database modelDocument storeDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeGraph DBMS
RDF store
Secondary database modelsGraph DBMS
Search engine
Document 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
Score13.64
Rank#39  Overall
#6  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitewww.bigchaindb.comfirebase.google.com/­products/­realtime-databasewww.gigaspaces.comhazelcast.comwww.oxfordsemantic.tech
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmlhazelcast.org/­imdg/­docsdocs.oxfordsemantic.tech
DeveloperGoogle infoacquired by Google 2014Gigaspaces TechnologiesHazelcastOxford Semantic Technologies
Initial release20162012200020082017
Current release15.5, September 20205.3.6, November 20236.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoApache Version 2; commercial licenses availablecommercial
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 languagePythonJava, C++, .NetJavaC++
Server operating systemsLinuxhostedLinux
macOS
Solaris
Windows
All OS with a Java VMLinux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeschema-freeyes infoRDF schemas
Typing infopredefined data types such as float or datenoyesyesyesyes
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 infoXML can be used for describing objects metadatayes infothe object must implement a serialization strategy
Secondary indexesyesyesyes
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsSQL-like query languageno
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JCache
JPA
Memcached protocol
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
C
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesyes infoEvent Listeners, Executor Services
TriggersCallbacks are triggered when data changesyes, event driven architectureyes infoEvents
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoReplicated Mapreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsyes
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 infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate 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 datayesACIDone or two-phase-commit; repeatable reads; read commitedACID
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.yesyesyes
User concepts infoAccess controlyesyes, based on authentication and database rulesRole-based access controlRole-based access controlRoles, resources, and access types

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More resources
BigchainDBFirebase Realtime DatabaseGigaSpacesHazelcastRDFox
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