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DBMS > Blueflood vs. EventStoreDB vs. FatDB vs. Firebase Realtime Database vs. SQLite

System Properties Comparison Blueflood vs. EventStoreDB vs. FatDB vs. Firebase Realtime Database vs. SQLite

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonEventStoreDB  Xexclude from comparisonFatDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonSQLite  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionScalable TimeSeries DBMS based on CassandraIndustrial-strength, open-source database solution built from the ground up for event sourcing.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.Widely used embeddable, in-process RDBMS
Primary database modelTime Series DBMSEvent StoreDocument store
Key-value store
Document storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score14.29
Rank#39  Overall
#6  Document stores
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websiteblueflood.iowww.eventstore.comfirebase.google.com/­products/­realtime-databasewww.sqlite.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidevelopers.eventstore.comfirebase.google.com/­docs/­databasewww.sqlite.org/­docs.html
DeveloperRackspaceEvent Store LimitedFatCloudGoogle infoacquired by Google 2014Dwayne Richard Hipp
Initial release20132012201220122000
Current release21.2, February 20213.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open SourcecommercialcommercialOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC#C
Server operating systemsLinux
OS X
Linux
Windows
Windowshostedserver-less
Data schemepredefined schemeschema-freeschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesyesyes infonot rigid because of 'dynamic typing' concept.
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 indexesnoyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyes infoSQL-92 is not fully supported
APIs and other access methodsHTTP REST.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
iOS
JavaScript API
RESTful HTTP API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC#Java
JavaScript
Objective-C
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresnoyes infovia applicationslimited functionality with using 'rules'no
Triggersnoyes infovia applicationsCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on Cassandraselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency
Immediate Consistency
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locks
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 controlnono infoCan implement custom security layer via applicationsyes, based on authentication and database rulesno

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More resources
BluefloodEventStoreDBFatDBFirebase Realtime DatabaseSQLite
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