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DBMS > DataFS vs. Firebase Realtime Database vs. HugeGraph vs. Hypertable

System Properties Comparison DataFS vs. Firebase Realtime Database vs. HugeGraph vs. Hypertable

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHugeGraph  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.Cloud-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 DBMSAn open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelObject oriented DBMSDocument storeGraph DBMSWide column store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#18  Object oriented DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitenewdatabase.comfirebase.google.com/­products/­realtime-databasegithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­databasehugegraph.apache.org/­docs
DeveloperMobiland AGGoogle infoacquired by Google 2014BaiduHypertable Inc.
Initial release2018201220182009
Current release1.1.263, October 20220.90.9.8.11, March 2016
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache Version 2.0Open Source infoGNU version 3. Commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemsWindowshostedLinux
macOS
Unix
Linux
OS X
Windows infoan inofficial Windows port is available
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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 indexesnoyesyes infoalso supports composite index and range indexrestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLnononono
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Android
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
C++ API
Thrift
Supported programming languages.Net
C
C#
C++
VB.Net
Java
JavaScript
Objective-C
Groovy
Java
Python
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'asynchronous Gremlin script jobsno
Triggersno, except callback-events from server when changes happenedCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infodepending on used storage backend, e.g. Cassandra and HBaseselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonovia hugegraph-sparkyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlWindows-Profileyes, based on authentication and database rulesUsers, roles and permissionsno

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More resources
DataFSFirebase Realtime DatabaseHugeGraphHypertable
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