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DBMS > DataFS vs. Firebase Realtime Database vs. Hypertable vs. IRONdb vs. XTDB

System Properties Comparison DataFS vs. Firebase Realtime Database vs. Hypertable vs. IRONdb vs. XTDB

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonHypertable  Xexclude from comparisonIRONdb  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded 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.An open source BigTable implementation based on distributed file systems such as HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelObject oriented DBMSDocument storeWide column storeTime Series DBMSDocument store
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.18
Rank#332  Overall
#46  Document stores
Websitenewdatabase.comfirebase.google.com/­products/­realtime-databasewww.circonus.com/solutions/time-series-database/github.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­databasedocs.circonus.com/irondb/category/getting-startedwww.xtdb.com/­docs
DeveloperMobiland AGGoogle infoacquired by Google 2014Hypertable Inc.Circonus LLC.Juxt Ltd.
Initial release20182012200920172019
Current release1.1.263, October 20220.9.8.11, March 2016V0.10.20, January 20181.19, September 2021
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGNU version 3. Commercial license availablecommercialOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++Clojure
Server operating systemsWindowshostedLinux
OS X
Windows infoan inofficial Windows port is available
LinuxAll OS with a Java 8 (and higher) VM
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesnoyes infotext, numeric, histogramsyes, extensible-data-notation format
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 indexesnoyesrestricted infoonly exact value or prefix value scansnoyes
SQL infoSupport of SQLnononoSQL-like query language (Circonus Analytics Query Language: CAQL)limited SQL, making use of Apache Calcite
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
Android
iOS
JavaScript API
RESTful HTTP API
C++ API
Thrift
HTTP APIHTTP REST
JDBC
Supported programming languages.Net
C
C#
C++
VB.Net
Java
JavaScript
Objective-C
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyes, in Luano
Triggersno, except callback-events from server when changes happenedCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor on file system levelconfigurable replication factor, datacenter awareyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate consistency per node, eventual consistency across nodes
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlWindows-Profileyes, based on authentication and database rulesnono

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More resources
DataFSFirebase Realtime DatabaseHypertableIRONdbXTDB infoformerly named Crux
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