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DBMS > Firebase Realtime Database vs. GeoSpock vs. Lovefield vs. Percona Server for MongoDB vs. TimesTen

System Properties Comparison Firebase Realtime Database vs. GeoSpock vs. Lovefield vs. Percona Server for MongoDB vs. TimesTen

Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGeoSpock  Xexclude from comparisonLovefield  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonTimesTen  Xexclude from comparison
GeoSpock seems to be discontinued. Therefore it will be excluded from the DB-Engines ranking.
DescriptionCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Spatial and temporal data processing engine for extreme data scaleEmbeddable relational database for web apps written in pure JavaScriptA drop-in replacement for MongoDB Community Edition with enterprise-grade features.In-Memory RDBMS compatible to Oracle
Primary database modelDocument storeRelational DBMSRelational DBMSDocument storeRelational DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score15.00
Rank#39  Overall
#6  Document stores
Score0.32
Rank#290  Overall
#132  Relational DBMS
Score0.55
Rank#253  Overall
#39  Document stores
Score1.35
Rank#165  Overall
#75  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasegeospock.comgoogle.github.io/­lovefieldwww.percona.com/­mongodb/­software/­percona-server-for-mongodbwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationfirebase.google.com/­docs/­databasegithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.percona.com/­percona-distribution-for-mongodbdocs.oracle.com/­database/­timesten-18.1
DeveloperGoogle infoacquired by Google 2014GeoSpockGooglePerconaOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release2012201420151998
Current release2.0, September 20192.1.12, February 20173.4.10-2.10, November 201711 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoGPL Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, JavascriptJavaScriptC++
Server operating systemshostedhostedserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinuxAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
Data schemeschema-freeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononono
Secondary indexesyestemporal, categoricalyesyesyes
SQL infoSupport of SQLnoANSI SQL for query only (using Presto)SQL-like query language infovia JavaScript builder patternnoyes
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
JDBCproprietary protocol using JSONJDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Supported programming languagesJava
JavaScript
Objective-C
JavaScriptActionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C
C++
Java
PL/SQL
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoJavaScriptPL/SQL
TriggersCallbacks are triggered when data changesnoUsing read-only observersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
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
Immediate Consistency
Immediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes infousing MemoryDByes infovia In-Memory Engineyes
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users can be defined per tablenoAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseGeoSpockLovefieldPercona Server for MongoDBTimesTen
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