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DBMS > Blueflood vs. Firebase Realtime Database vs. Linter vs. SiteWhere

System Properties Comparison Blueflood vs. Firebase Realtime Database vs. Linter vs. SiteWhere

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Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonLinter  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionScalable TimeSeries DBMS based on CassandraCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.RDBMS for high security requirementsM2M integration platform for persisting/querying time series data
Primary database modelTime Series DBMSDocument storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#346  Overall
#33  Time Series DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.12
Rank#350  Overall
#152  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websiteblueflood.iofirebase.google.com/­products/­realtime-databaselinter.rugithub.com/­sitewhere/­sitewhere
Technical documentationgithub.com/­rax-maas/­blueflood/­wikifirebase.google.com/­docs/­databasesitewhere1.sitewhere.io/­index.html
DeveloperRackspaceGoogle infoacquired by Google 2014relex.ruSiteWhere
Initial release2013201219902010
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoCommon Public Attribution License Version 1.0
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 and C++Java
Server operating systemsLinux
OS X
hostedAIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
OS X
Windows
Data schemepredefined schemeschema-freeyespredefined scheme
Typing infopredefined data types such as float or dateyesyesyesyes
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 indexesnoyesyesno
SQL infoSupport of SQLnonoyesno
APIs and other access methodsHTTP RESTAndroid
iOS
JavaScript API
RESTful HTTP API
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
HTTP REST
Supported programming languagesJava
JavaScript
Objective-C
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'yes infoproprietary syntax with the possibility to convert from PL/SQL
TriggersnoCallbacks are triggered when data changesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandranoneSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraSource-replica replicationselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACIDno
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.nono
User concepts infoAccess controlnoyes, based on authentication and database rulesfine grained access rights according to SQL-standardUsers with fine-grained authorization concept

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More resources
BluefloodFirebase Realtime DatabaseLinterSiteWhere
DB-Engines blog posts

Cloud-based DBMS's popularity grows at high rates
12 December 2019, Paul Andlinger

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Don't be like these 900+ websites and expose millions of passwords via Firebase
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11 July 2017, Open Source For You

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