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DBMS > DataFS vs. FatDB vs. Firebase Realtime Database vs. Graphite vs. IBM Db2 Event Store

System Properties Comparison DataFS vs. FatDB vs. Firebase Realtime Database vs. Graphite vs. IBM Db2 Event Store

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonFatDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGraphite  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the 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.A .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperDistributed Event Store optimized for Internet of Things use cases
Primary database modelObject oriented DBMSDocument store
Key-value store
Document storeTime Series DBMSEvent Store
Time Series DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score14.29
Rank#39  Overall
#6  Document stores
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Websitenewdatabase.comfirebase.google.com/­products/­realtime-databasegithub.com/­graphite-project/­graphite-webwww.ibm.com/­products/­db2-event-store
Technical documentationdev.mobiland.com/­Overview.xspfirebase.google.com/­docs/­databasegraphite.readthedocs.iowww.ibm.com/­docs/­en/­db2-event-store
DeveloperMobiland AGFatCloudGoogle infoacquired by Google 2014Chris DavisIBM
Initial release20182012201220062017
Current release1.1.263, October 20222.0
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoApache 2.0commercial infofree developer edition available
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 languageC#PythonC and C++
Server operating systemsWindowsWindowshostedLinux
Unix
Linux infoLinux, macOS, Windows for the developer addition
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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 indexesnoyesyesnono
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernonoyes infothrough the embedded Spark runtime
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
iOS
JavaScript API
RESTful HTTP API
HTTP API
Sockets
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
C#Java
JavaScript
Objective-C
JavaScript (Node.js)
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
Server-side scripts infoStored proceduresyes infovia applicationslimited functionality with using 'rules'noyes
Triggersno, except callback-events from server when changes happenedyes infovia applicationsCallbacks are triggered when data changesnono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneActive-active shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
noneEventual Consistency
Foreign keys infoReferential integrityyesnononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoyesnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infolockingNo - written data is immutable
Durability infoSupport for making data persistentyesyesyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storage
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlWindows-Profileno infoCan implement custom security layer via applicationsyes, based on authentication and database rulesnofine grained access rights according to SQL-standard

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More resources
DataFSFatDBFirebase Realtime DatabaseGraphiteIBM Db2 Event Store
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