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DBMS > BigchainDB vs. Firebase Realtime Database vs. InterSystems Caché vs. KeyDB vs. Yanza

System Properties Comparison BigchainDB vs. Firebase Realtime Database vs. InterSystems Caché vs. KeyDB vs. Yanza

Editorial information provided by DB-Engines
NameBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonKeyDB  Xexclude from comparisonYanza  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.Yanza seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionBigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A multi-model DBMS and application serverAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsTime Series DBMS for IoT Applications
Primary database modelDocument storeDocument storeKey-value store
Object oriented DBMS
Relational DBMS
Key-value storeTime Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.79
Rank#212  Overall
#36  Document stores
Score14.29
Rank#39  Overall
#6  Document stores
Score0.71
Rank#226  Overall
#33  Key-value stores
Websitewww.bigchaindb.comfirebase.google.com/­products/­realtime-databasewww.intersystems.com/­products/­cachegithub.com/­Snapchat/­KeyDB
keydb.dev
yanza.com
Technical documentationbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasedocs.intersystems.comdocs.keydb.dev
DeveloperGoogle infoacquired by Google 2014InterSystemsEQ Alpha Technology Ltd.Yanza
Initial release20162012199720192015
Current release2018.1.4, May 2020
License infoCommercial or Open SourceOpen Source infoAGPL v3commercialcommercialOpen Source infoBSD-3commercial infofree version available
Cloud-based only infoOnly available as a cloud servicenoyesnonono infobut mainly used as a service provided by Yanza
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languagePythonC++
Server operating systemsLinuxhostedAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxWindows
Data schemeschema-freeschema-freedepending on used data modelschema-freeschema-free
Typing infopredefined data types such as float or datenoyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesno
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 indexesyesyesyes infoby using the Redis Search moduleno
SQL infoSupport of SQLnonoyesnono
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
.NET Client API
JDBC
ODBC
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP API
Supported programming languagesGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
C#
C++
Java
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
any language that supports HTTP calls
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesLuano
TriggersCallbacks are triggered when data changesyesnoyes infoTimer and event based
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationMulti-source replication
Source-replica replication
none
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 ConsistencyEventual Consistency
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDOptimistic locking, atomic execution of commands blocks and scriptsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes,with MongoDB ord RethinkDByesyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlyesyes, based on authentication and database rulesAccess rights for users, groups and rolessimple password-based access control and ACLno

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More resources
BigchainDBFirebase Realtime DatabaseInterSystems CachéKeyDBYanza
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