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DBMS > Firebase Realtime Database vs. IRONdb vs. Kinetica vs. SiteWhere vs. Warp 10

System Properties Comparison Firebase Realtime Database vs. IRONdb vs. Kinetica vs. SiteWhere vs. Warp 10

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonIRONdb  Xexclude from comparisonKinetica  Xexclude from comparisonSiteWhere  Xexclude from comparisonWarp 10  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityFully vectorized database across both GPUs and CPUsM2M integration platform for persisting/querying time series dataTimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase
Primary database modelDocument storeTime Series DBMSRelational DBMSTime Series DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.66
Rank#234  Overall
#107  Relational DBMS
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Score0.14
Rank#344  Overall
#32  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databasewww.circonus.com/solutions/time-series-database/www.kinetica.comgithub.com/­sitewhere/­sitewherewww.warp10.io
Technical documentationfirebase.google.com/­docs/­databasedocs.circonus.com/irondb/category/getting-starteddocs.kinetica.comsitewhere1.sitewhere.io/­index.htmlwww.warp10.io/­content/­02_Getting_started
DeveloperGoogle infoacquired by Google 2014Circonus LLC.KineticaSiteWhereSenX
Initial release20122017201220102015
Current releaseV0.10.20, January 20187.1, August 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoCommon Public Attribution License Version 1.0Open Source infoApache License 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C, C++JavaJava
Server operating systemshostedLinuxLinuxLinux
OS X
Windows
Linux
OS X
Windows
Data schemeschema-freeschema-freeyespredefined schemeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyesyes
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.nonononono
Secondary indexesyesnoyesnono
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like DML and DDL statementsnono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP APIJDBC
ODBC
RESTful HTTP API
HTTP RESTHTTP API
Jupyter
WebSocket
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'yes, in Luauser defined functionsyes infoWarpScript
TriggersCallbacks are triggered when data changesnoyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingSharding infobased on HBaseSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationselectable replication factor infobased on HBaseselectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate consistency per node, eventual consistency across nodesImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infobased on HBase
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infoGPU vRAM or System RAMnoyes
User concepts infoAccess controlyes, based on authentication and database rulesnoAccess rights for users and roles on table levelUsers with fine-grained authorization conceptMandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources
Firebase Realtime DatabaseIRONdbKineticaSiteWhereWarp 10
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