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DBMS > Firebase Realtime Database vs. Heroic vs. InterSystems Caché vs. Kinetica vs. TerarkDB

System Properties Comparison Firebase Realtime Database vs. Heroic vs. InterSystems Caché vs. Kinetica vs. TerarkDB

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHeroic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKinetica  Xexclude from comparisonTerarkDB  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed 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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA multi-model DBMS and application serverFully vectorized database across both GPUs and CPUsA key-value store forked from RocksDB with advanced compression algorithms. It can be used standalone or as a storage engine for MySQL and MongoDB
Primary database modelDocument storeTime Series DBMSKey-value store
Object oriented DBMS
Relational DBMS
Relational DBMSKey-value store
Secondary database modelsDocument storeSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.64
Rank#236  Overall
#109  Relational DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­spotify/­heroicwww.intersystems.com/­products/­cachewww.kinetica.comgithub.com/­bytedance/­terarkdb
Technical documentationfirebase.google.com/­docs/­databasespotify.github.io/­heroicdocs.intersystems.comdocs.kinetica.combytedance.larkoffice.com/­docs/­doccnZmYFqHBm06BbvYgjsHHcKc
DeveloperGoogle infoacquired by Google 2014SpotifyInterSystemsKineticaByteDance, originally Terark
Initial release20122014199720122016
Current release2018.1.4, May 20207.1, August 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialcommercial inforestricted open source version available
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 languageJavaC, C++C++
Server operating systemshostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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.nonoyesnono
Secondary indexesyesyes infovia Elasticsearchyesyesno
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
JDBC
ODBC
RESTful HTTP API
C++ API
Java API
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Java
C++
Java
JavaScript (Node.js)
Python
C++
Java
Server-side scripts infoStored procedureslimited functionality with using 'rules'noyesuser defined functionsno
TriggersCallbacks are triggered when data changesnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replicationnone
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
Eventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnono
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.noyesyes infoGPU vRAM or System RAMyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and rolesAccess rights for users and roles on table levelno

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More resources
Firebase Realtime DatabaseHeroicInterSystems CachéKineticaTerarkDB
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