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DBMS > Firebase Realtime Database vs. KeyDB vs. ObjectBox vs. Oracle Berkeley DB

System Properties Comparison Firebase Realtime Database vs. KeyDB vs. ObjectBox vs. Oracle Berkeley DB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonKeyDB  Xexclude from comparisonObjectBox  Xexclude from comparisonOracle Berkeley DB  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.An ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectorsWidely used in-process key-value store
Primary database modelDocument storeKey-value storeObject oriented DBMS
Vector DBMS
Key-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score0.63
Rank#232  Overall
#32  Key-value stores
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Score1.88
Rank#130  Overall
#23  Key-value stores
#3  Native XML DBMS
Websitefirebase.google.com/­products/­realtime-databasegithub.com/­Snapchat/­KeyDB
keydb.dev
github.com/­objectbox
objectbox.io
www.oracle.com/­database/­technologies/­related/­berkeleydb.html
Technical documentationfirebase.google.com/­docs/­databasedocs.keydb.devdocs.objectbox.iodocs.oracle.com/­cd/­E17076_05/­html/­index.html
DeveloperGoogle infoacquired by Google 2014EQ Alpha Technology Ltd.ObjectBox LimitedOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2012201920171994
Current release4.0 (May 2024)18.1.40, May 2020
License infoCommercial or Open SourcecommercialOpen Source infoBSD-3Bindings are released under Apache 2.0 infoApache License 2.0Open Source infocommercial license available
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++C and C++C, Java, C++ (depending on the Berkeley DB edition)
Server operating systemshostedLinuxAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesyes, plus "flex" map-like typesno
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 infoonly with the Berkeley DB XML edition
Secondary indexesyesyes infoby using the Redis Search moduleyesyes
SQL infoSupport of SQLnononoyes infoSQL interfaced based on SQLite is available
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
Proprietary protocol infoRESP - REdis Serialization ProtocoProprietary native API
Supported programming languagesJava
JavaScript
Objective-C
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
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
Server-side scripts infoStored procedureslimited functionality with using 'rules'Luanono
TriggersCallbacks are triggered when data changesnonoyes infoonly for the SQL API
Partitioning methods infoMethods for storing different data on different nodesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
Data sync between devices allowing occasional connected databases to work completely offlineSource-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
Strong eventual consistency with CRDTs
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesOptimistic locking, atomic execution of commands blocks and scriptsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoConfigurable mechanisms for persistency via snapshots and/or operations logsyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlyes, based on authentication and database rulessimple password-based access control and ACLyesno
More information provided by the system vendor
Firebase Realtime DatabaseKeyDBObjectBoxOracle Berkeley DB
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
Firebase Realtime DatabaseKeyDBObjectBoxOracle Berkeley DB
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