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DBMS > Firebase Realtime Database vs. Heroic vs. Infobright vs. KeyDB

System Properties Comparison Firebase Realtime Database vs. Heroic vs. Infobright vs. KeyDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonHeroic  Xexclude from comparisonInfobright  Xexclude from comparisonKeyDB  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.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchHigh performant column-oriented DBMS for analytic workloads using MySQL or PostgreSQL as a frontendAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocols
Primary database modelDocument storeTime Series DBMSRelational DBMSKey-value store
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
Score0.96
Rank#194  Overall
#91  Relational DBMS
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­spotify/­heroicignitetech.com/­softwarelibrary/­infobrightdbgithub.com/­Snapchat/­KeyDB
keydb.dev
Technical documentationfirebase.google.com/­docs/­databasespotify.github.io/­heroicdocs.keydb.dev
DeveloperGoogle infoacquired by Google 2014SpotifyIgnite Technologies Inc.; formerly InfoBright Inc.EQ Alpha Technology Ltd.
Initial release2012201420052019
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercial infoThe open source (GPLv2) version did not support inserts/updates/deletes and was discontinued with July 2016Open Source infoBSD-3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemshostedLinux
Windows
Linux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexes
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 indexesyesyes infovia Elasticsearchno infoKnowledge Grid Technology used insteadyes infoby using the Redis Search module
SQL infoSupport of SQLnonoyesno
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocol infoRESP - REdis Serialization Protoco
Supported programming languagesJava
JavaScript
Objective-C
.Net
C
C#
C++
D
Eiffel
Erlang
Haskell
Java
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Clojure
Crystal
D
Dart
Elixir
Erlang
Fancy
Go
Haskell
Haxe
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Objective-C
OCaml
Pascal
Perl
PHP
Prolog
Pure Data
Python
R
Rebol
Ruby
Rust
Scala
Scheme
Smalltalk
Swift
Tcl
Visual Basic
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoLua
TriggersCallbacks are triggered when data changesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
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 ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDOptimistic locking, atomic execution of commands blocks and scripts
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logs
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes
User concepts infoAccess controlyes, based on authentication and database rulesfine grained access rights according to SQL-standard infoexploiting MySQL or PostgreSQL frontend capabilitiessimple password-based access control and ACL

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More resources
Firebase Realtime DatabaseHeroicInfobrightKeyDB
DB-Engines blog posts

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