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DBMS > Firebase Realtime Database vs. GigaSpaces vs. KeyDB vs. Rockset

System Properties Comparison Firebase Realtime Database vs. GigaSpaces vs. KeyDB vs. Rockset

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGigaSpaces  Xexclude from comparisonKeyDB  Xexclude from comparisonRockset  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsAn ultra-fast, open source Key-value store fully compatible with Redis API, modules, and protocolsA scalable, reliable search and analytics service in the cloud, built on RocksDB
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeDocument store
Secondary database modelsGraph DBMS
Search engine
Relational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.64
Rank#39  Overall
#6  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score0.70
Rank#229  Overall
#32  Key-value stores
Score0.82
Rank#212  Overall
#36  Document stores
Websitefirebase.google.com/­products/­realtime-databasewww.gigaspaces.comgithub.com/­Snapchat/­KeyDB
keydb.dev
rockset.com
Technical documentationfirebase.google.com/­docs/­databasedocs.gigaspaces.com/­latest/­landing.htmldocs.keydb.devdocs.rockset.com
DeveloperGoogle infoacquired by Google 2014Gigaspaces TechnologiesEQ Alpha Technology Ltd.Rockset
Initial release2012200020192019
Current release15.5, September 2020
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoBSD-3commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++C++
Server operating systemshostedLinux
macOS
Solaris
Windows
Linuxhosted
Data schemeschema-freeschema-freeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyespartial infoSupported data types are strings, hashes, lists, sets and sorted sets, bit arrays, hyperloglogs and geospatial indexesdynamic typing
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.nono infoXML can be used for describing objects metadatanono infoingestion from XML files supported
Secondary indexesyesyesyes infoby using the Redis Search moduleall fields are automatically indexed
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnoRead-only SQL queries, including JOINs
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Proprietary protocol infoRESP - REdis Serialization ProtocoHTTP REST
Supported programming languagesJava
JavaScript
Objective-C
.Net
C++
Java
Python
Scala
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
Go
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesLuano
TriggersCallbacks are triggered when data changesyes, event driven architecturenono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication
Source-replica replication
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYEventual Consistency
Strong eventual consistency with CRDTs
Eventual Consistency
Foreign keys infoReferential integritynononono
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 datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes 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 controlyes, based on authentication and database rulesRole-based access controlsimple password-based access control and ACLAccess rights for users and organizations can be defined via Rockset console

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More resources
Firebase Realtime DatabaseGigaSpacesKeyDBRockset
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