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DBMS > Firebase Realtime Database vs. gStore vs. LMDB vs. Oracle Rdb vs. Solr

System Properties Comparison Firebase Realtime Database vs. gStore vs. LMDB vs. Oracle Rdb vs. Solr

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisongStore  Xexclude from comparisonLMDB  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSolr  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.A native Graph DBMS to store and maintain very large RDF datasets.A high performant, light-weight, embedded key-value database libraryA widely used distributed, scalable search engine based on Apache Lucene
Primary database modelDocument storeGraph DBMS
RDF store
Key-value storeRelational DBMSSearch engine
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score14.29
Rank#39  Overall
#6  Document stores
Score0.04
Rank#359  Overall
#37  Graph DBMS
#18  RDF stores
Score1.99
Rank#125  Overall
#21  Key-value stores
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score42.91
Rank#24  Overall
#3  Search engines
Websitefirebase.google.com/­products/­realtime-databaseen.gstore.cnwww.symas.com/­symas-embedded-database-lmdbwww.oracle.com/­database/­technologies/­related/­rdb.htmlsolr.apache.org
Technical documentationfirebase.google.com/­docs/­databaseen.gstore.cn/­#/­enDocswww.lmdb.tech/­docwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmlsolr.apache.org/­resources.html
DeveloperGoogle infoacquired by Google 2014SymasOracle, originally developed by Digital Equipment Corporation (DEC)Apache Software Foundation
Initial release20122016201119842006
Current release1.2, November 20230.9.32, January 20247.4.1.1, 20219.6.0, April 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSDOpen SourcecommercialOpen Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CJava
Server operating systemshostedLinuxLinux
Unix
Windows
HP Open VMSAll OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)
Data schemeschema-freeschema-free and OWL/RDFS-schema supportschema-freeFlexible Schema (defined schema, partial schema, schema free)yes infoDynamic Fields enables on-the-fly addition of new fields
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic 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.nonononoyes
Secondary indexesyesnoyesyes infoAll search fields are automatically indexed
SQL infoSupport of SQLnononoyesSolr Parallel SQL Interface
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP API
SPARQL 1.1
Java API
RESTful HTTP/JSON API
Supported programming languagesJava
JavaScript
Objective-C
C++
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Clojure
Go
Haskell
Java
JavaScript (Node.js)
Lisp
Lua
MatLab
Nim
Objective C
OCaml
Perl
PHP
Python
R
Ruby
Rust
Swift
Tcl
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
Server-side scripts infoStored procedureslimited functionality with using 'rules'yesnoJava plugins
TriggersCallbacks are triggered when data changesnoyes infoUser configurable commands triggered on index changes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononospark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACIDyes, on a single nodeoptimistic locking
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.noyesnoyes
User concepts infoAccess controlyes, based on authentication and database rulesUsers, roles and permissions, Role-Based Access Control (RBAC) supportednoyes

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Firebase Realtime DatabasegStoreLMDBOracle RdbSolr
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