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DBMS > Apache IoTDB vs. Firebase Realtime Database vs. IBM Cloudant vs. InterSystems Caché

System Properties Comparison Apache IoTDB vs. Firebase Realtime Database vs. IBM Cloudant vs. InterSystems Caché

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Editorial information provided by DB-Engines
NameApache IoTDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonInterSystems Caché  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.
DescriptionAn IoT native database with high performance for data management and analysis, deployable on the edge and the cloud and integrated with Hadoop, Spark and FlinkCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Database as a Service offering based on Apache CouchDBA multi-model DBMS and application server
Primary database modelTime Series DBMSDocument storeDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.31
Rank#164  Overall
#14  Time Series DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score2.75
Rank#104  Overall
#19  Document stores
Websiteiotdb.apache.orgfirebase.google.com/­products/­realtime-databasewww.ibm.com/­products/­cloudantwww.intersystems.com/­products/­cache
Technical documentationiotdb.apache.org/­UserGuide/­Master/­QuickStart/­QuickStart.htmlfirebase.google.com/­docs/­databasecloud.ibm.com/­docs/­Cloudantdocs.intersystems.com
DeveloperApache Software FoundationGoogle infoacquired by Google 2014IBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014InterSystems
Initial release2018201220101997
Current release1.1.0, April 20232018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlang
Server operating systemsAll OS with a Java VM (>= 1.8)hostedhostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeschema-freedepending on used data model
Typing infopredefined data types such as float or dateyesyesnoyes
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.nononoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLSQL-like query languagenonoyes
APIs and other access methodsJDBC
Native API
Android
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP/JSON API.NET Client API
JDBC
ODBC
RESTful HTTP API
Supported programming languagesC
C#
C++
Go
Java
Python
Scala
Java
JavaScript
Objective-C
C#
Java
JavaScript
Objective-C
PHP
Ruby
C#
C++
Java
Server-side scripts infoStored proceduresyeslimited functionality with using 'rules'View functions (Map-Reduce) in JavaScriptyes
TriggersyesCallbacks are triggered when data changesyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning (by time range) + vertical partitioning (by deviceId)Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication methods; using Raft/IoTConsensus algorithm to ensure strong/eventual data consistency among multiple replicasMulti-source replication
Source-replica replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsIntegration with Hadoop and Sparknoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Strong Consistency with Raft
Eventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesno infoatomic operations within a document possibleACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic lockingyes
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.yesnoyes
User concepts infoAccess controlyesyes, based on authentication and database rulesAccess rights for users can be defined per databaseAccess rights for users, groups and roles

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More resources
Apache IoTDBFirebase Realtime DatabaseIBM CloudantInterSystems Caché
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