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DBMS > Firebase Realtime Database vs. InfinityDB vs. PouchDB vs. SiteWhere

System Properties Comparison Firebase Realtime Database vs. InfinityDB vs. PouchDB vs. SiteWhere

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonInfinityDB  Xexclude from comparisonPouchDB  Xexclude from comparisonSiteWhere  Xexclude from comparison
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A Java embedded Key-Value Store which extends the Java Map interfaceJavaScript DBMS with an API inspired by CouchDBM2M integration platform for persisting/querying time series data
Primary database modelDocument storeKey-value storeDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score0.08
Rank#365  Overall
#55  Key-value stores
Score2.34
Rank#112  Overall
#21  Document stores
Score0.06
Rank#383  Overall
#43  Time Series DBMS
Websitefirebase.google.com/­products/­realtime-databaseboilerbay.compouchdb.comgithub.com/­sitewhere/­sitewhere
Technical documentationfirebase.google.com/­docs/­databaseboilerbay.com/­infinitydb/­manualpouchdb.com/­guidessitewhere1.sitewhere.io/­index.html
DeveloperGoogle infoacquired by Google 2014Boiler Bay Inc.Apache Software FoundationSiteWhere
Initial release2012200220122010
Current release4.07.1.1, June 2019
License infoCommercial or Open SourcecommercialcommercialOpen SourceOpen Source infoCommon Public Attribution License Version 1.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaScriptJava
Server operating systemshostedAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Data schemeschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freepredefined scheme
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyes
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 indexesyesno infomanual creation possible, using inversions based on multi-value capabilityyes infovia viewsno
SQL infoSupport of SQLnononono
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
HTTP REST infoonly for PouchDB Server
JavaScript API
HTTP REST
Supported programming languagesJava
JavaScript
Objective-C
JavaJavaScript
Server-side scripts infoStored procedureslimited functionality with using 'rules'noView functions in JavaScript
TriggersCallbacks are triggered when data changesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infowith a proxy-based framework, named couchdb-loungeSharding infobased on HBase
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
selectable replication factor infobased on HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesno
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 infoREAD-COMMITTED or SERIALIZEDEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infoOptimistic locking for transactions; no isolation for bulk loadsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlyes, based on authentication and database rulesnonoUsers with fine-grained authorization concept

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More resources
Firebase Realtime DatabaseInfinityDBPouchDBSiteWhere
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Realtime vs Cloud Firestore: Which Firebase Database to go?
8 March 2024, Appinventiv

Atos cybersecurity blog: Misconfigured Firebase: A real-time cyber threat
18 January 2024, Atos

Don't be like these 900+ websites and expose millions of passwords via Firebase
18 March 2024, The Register

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14 May 2024, TechCrunch

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Building an Offline First App with PouchDB — SitePoint
10 March 2014, SitePoint

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7 September 2016, SitePoint

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22 March 2017, ibm.com

Create Offline Web Apps Using Service Workers & PouchDB — SitePoint
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Offline-first web and mobile apps: Top frameworks and components
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SiteWhere: An open platform for connected devices
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