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DBMS > Firebase Realtime Database vs. Google Cloud Bigtable vs. JaguarDB vs. MonetDB

System Properties Comparison Firebase Realtime Database vs. Google Cloud Bigtable vs. JaguarDB vs. MonetDB

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Editorial information provided by DB-Engines
NameFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonJaguarDB  Xexclude from comparisonMonetDB  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.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.Performant, highly scalable DBMS for AI and IoT applicationsA relational database management system that stores data in columns
Primary database modelDocument storeKey-value store
Wide column store
Key-value store
Vector DBMS
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.60
Rank#39  Overall
#6  Document stores
Score2.97
Rank#92  Overall
#15  Key-value stores
#8  Wide column stores
Score0.00
Rank#385  Overall
#61  Key-value stores
#16  Vector DBMS
Score1.72
Rank#135  Overall
#62  Relational DBMS
Websitefirebase.google.com/­products/­realtime-databasecloud.google.com/­bigtablewww.jaguardb.comwww.monetdb.org
Technical documentationfirebase.google.com/­docs/­databasecloud.google.com/­bigtable/­docswww.jaguardb.com/­support.htmlwww.monetdb.org/­Documentation
DeveloperGoogle infoacquired by Google 2014GoogleDataJaguar, Inc.MonetDB BV
Initial release2012201520152004
Current release3.3 July 2023Dec2023 (11.49), December 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3.0Open Source infoMozilla Public License 2.0
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++ infothe server part. Clients available in other languagesC
Server operating systemshostedhostedLinuxFreeBSD
Linux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.nonono
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnonoA subset of ANSI SQL is implemented infobut no views, foreign keys, triggersyes infoSQL 2003 with some extensions
APIs and other access methodsAndroid
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
JDBC
ODBC
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
Supported programming languagesJava
JavaScript
Objective-C
C#
C++
Go
Java
JavaScript (Node.js)
Python
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Server-side scripts infoStored procedureslimited functionality with using 'rules'nonoyes, in SQL, C, R
TriggersCallbacks are triggered when data changesnonoyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tables
Replication methods infoMethods for redundantly storing data on multiple nodesInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
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 (for a single cluster), Eventual consistency (for two or more replicated clusters)Eventual Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesAtomic single-row operationsnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)rights management via user accountsfine grained access rights according to SQL-standard

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More resources
Firebase Realtime DatabaseGoogle Cloud BigtableJaguarDBMonetDB
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